Lingolol

Harald SackLast leg in our brief <a href="https://sigmoid.social/tags/timeline" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#timeline</a> of (Large) <a href="https://sigmoid.social/tags/languagemodels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#languagemodels</a> (so far) is 2023, which saw the advent of many new and updated <a href="https://sigmoid.social/tags/LLMs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LLMs</a>: - BARD <a href="https://sigmoid.social/tags/chatbot" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#chatbot</a> is introduced by Google - LLaMA is introduced by Meta - GPT-4 is introduced by OpenAI. - LLaMA2.0 is introduced by Meta - and many others... <a href="https://sigmoid.social/tags/ISE2023" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ISE2023</a> <a href="https://sigmoid.social/tags/lecture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#lecture</a> slides: <a href="https://drive.google.com/file/d/1atNvMYNkeKDwXP3olHXzloa09S5pzjXb/view?usp=drive_link" rel="nofollow noopener noreferrer" target="_blank">https://drive.google.com/file/d/1atNvMYNkeKDwXP3olHXzloa09S5pzjXb/view?usp=drive_link</a> GPT-4 tech report: <a href="https://arxiv.org/pdf/2303.08774" rel="nofollow noopener noreferrer" target="_blank">https://arxiv.org/pdf/2303.08774</a> <a href="https://sigmoid.social/@fizise" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@fizise</a> <a href="https://mastodon.social/@KIT_Karlsruhe" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@KIT_Karlsruhe</a> <a href="https://sigmoid.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ai</a> <a href="https://sigmoid.social/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#artificialintelligence</a> <a href="https://sigmoid.social/tags/llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#llm</a> <a href="https://sigmoid.social/tags/llms" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#llms</a> <a href="https://sigmoid.social/tags/gpt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#gpt</a> <a href="https://sigmoid.social/tags/openai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#openai</a> <a href="https://sigmoid.social/tags/llama" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#llama</a> <a href="https://sigmoid.social/tags/lamda" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#lamda</a> <a href="https://sigmoid.social/tags/bard" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#bard</a>

Harald SackNext stop on our brief <a href="https://sigmoid.social/tags/timeline" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#timeline</a> of (Large) <a href="https://sigmoid.social/tags/LanguageModels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LanguageModels</a> is 2022: InstructGPT is introduced by OpenAI, a GPT-3 model complemented and fine-tuned with reinforcement learning from human feedback. ChatGPT is introduced by OpenAI as a combination of GPT-3, Codex, and InstructGPT including lots of additional engineering. <a href="https://sigmoid.social/tags/ise2023" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ise2023</a> lecture slides: <a href="https://drive.google.com/file/d/1atNvMYNkeKDwXP3olHXzloa09S5pzjXb/view?usp=drive_link" rel="nofollow noopener noreferrer" target="_blank">https://drive.google.com/file/d/1atNvMYNkeKDwXP3olHXzloa09S5pzjXb/view?usp=drive_link</a> RLHF explaned: <a href="https://huggingface.co/blog/rlhf" rel="nofollow noopener noreferrer" target="_blank">https://huggingface.co/blog/rlhf</a> <a href="https://sigmoid.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ai</a> <a href="https://sigmoid.social/tags/creativeai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#creativeai</a> <a href="https://sigmoid.social/tags/rlhf" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rlhf</a> <a href="https://sigmoid.social/tags/gpt3" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#gpt3</a> <a href="https://sigmoid.social/tags/gpt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#gpt</a> <a href="https://sigmoid.social/tags/openai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#openai</a> <a href="https://sigmoid.social/tags/chatgpt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#chatgpt</a> <a href="https://sigmoid.social/tags/lecture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#lecture</a> <a href="https://sigmoid.social/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#artificialintelligence</a> <a href="https://sigmoid.social/tags/llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#llm</a>

Harald SackNext stop in our brief <a href="https://sigmoid.social/tags/timeline" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#timeline</a> of (large) <a href="https://sigmoid.social/tags/languagemodels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#languagemodels</a> is 2021: DALL-E is released by OpenAI and raises text2img to a new level. Codex is released by OpenAI able to translate natural language into programming code. WebGPT is released by OpenAI for answering open-ended questions. LaMDA is introduced by Google. Slides from <a href="https://sigmoid.social/tags/ise2023" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ise2023</a> <a href="https://sigmoid.social/tags/lecture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#lecture</a>: <a href="https://drive.google.com/file/d/1atNvMYNkeKDwXP3olHXzloa09S5pzjXb/view?usp=drive_link" rel="nofollow noopener noreferrer" target="_blank">https://drive.google.com/file/d/1atNvMYNkeKDwXP3olHXzloa09S5pzjXb/view?usp=drive_link</a> Codex paper: <a href="https://arxiv.org/abs/2107.03374" rel="nofollow noopener noreferrer" target="_blank">https://arxiv.org/abs/2107.03374</a> DALL-E paper: <a href="https://arxiv.org/abs/2102.12092" rel="nofollow noopener noreferrer" target="_blank">https://arxiv.org/abs/2102.12092</a> <a href="https://sigmoid.social/@fizise" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@fizise</a> <a href="https://sigmoid.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ai</a> <a href="https://sigmoid.social/tags/generativeAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#generativeAI</a> <a href="https://sigmoid.social/tags/GPT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GPT</a> <a href="https://sigmoid.social/tags/dalle" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dalle</a> <a href="https://sigmoid.social/tags/openai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#openai</a> <a href="https://sigmoid.social/tags/lamda" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#lamda</a>

Harald SackNext leg in our brief history of (Large) <a href="https://sigmoid.social/tags/LanguageModel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LanguageModel</a> is 2020, when <a href="https://sigmoid.social/tags/GPT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GPT</a>-3 was released by OpenAI, based on 45TB data crawled from the web. A “data quality” predictor was trained to boil down the training data to 550GB “high quality” data. Learning from the prompt was introduced (few-shot learning) Lecture slides: <a href="https://drive.google.com/file/d/1atNvMYNkeKDwXP3olHXzloa09S5pzjXb/view?usp=drive_link" rel="nofollow noopener noreferrer" target="_blank">https://drive.google.com/file/d/1atNvMYNkeKDwXP3olHXzloa09S5pzjXb/view?usp=drive_link</a> paper: <a href="https://proceedings.neurips.cc/paper/2020/file/1457c0d6bfcb4967418bfb8ac142f64a-Paper.pdf" rel="nofollow noopener noreferrer" target="_blank">https://proceedings.neurips.cc/paper/2020/file/1457c0d6bfcb4967418bfb8ac142f64a-Paper.pdf</a> <a href="https://sigmoid.social/@fizise" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@fizise</a> <a href="https://sigmoid.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ai</a> <a href="https://sigmoid.social/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#artificialintelligence</a> <a href="https://sigmoid.social/tags/creativeai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#creativeai</a> <a href="https://sigmoid.social/tags/llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#llm</a> <a href="https://sigmoid.social/tags/ise2023" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ise2023</a> <a href="https://sigmoid.social/tags/lecture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#lecture</a>

Harald SackNext stop in our brief Timeline of (large) <a href="https://sigmoid.social/tags/languagemodels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#languagemodels</a> from the <a href="https://sigmoid.social/tags/ise2023" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ise2023</a> lecture is the advent of the Graphical Processing Units <a href="https://sigmoid.social/tags/gpu" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#gpu</a>. In 1999 Nvidias GeForce 256 was one of the very first, which enabled highly parallel computations for <a href="https://sigmoid.social/tags/neuralnetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#neuralnetworks</a> Slides: <a href="https://drive.google.com/file/d/1atNvMYNkeKDwXP3olHXzloa09S5pzjXb/view?usp=drive_link" rel="nofollow noopener noreferrer" target="_blank">https://drive.google.com/file/d/1atNvMYNkeKDwXP3olHXzloa09S5pzjXb/view?usp=drive_link</a> <a href="https://sigmoid.social/@fizise" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@fizise</a> <a href="https://sigmoid.social/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#artificialintelligence</a> <a href="https://sigmoid.social/tags/lecture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#lecture</a> <a href="https://sigmoid.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ai</a> <a href="https://sigmoid.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#machinelearning</a> <a href="https://sigmoid.social/tags/llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#llm</a>

Harald Sack1997 with the advent of Long Short-Term Memory recurrent <a href="https://sigmoid.social/tags/neuralnetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#neuralnetworks</a> marks the subsequent step in our brief history of )large) <a href="https://sigmoid.social/tags/languagemodels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#languagemodels</a> from last week's <a href="https://sigmoid.social/tags/ise2023" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ise2023</a> lecture. Introduced by Sepp Hochreiter and Jürgen Schmidhuber <a href="https://sigmoid.social/tags/LSTM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LSTM</a> <a href="https://sigmoid.social/tags/RNNs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#RNNs</a> enabled efficient processing of sequences of data. Slides: <a href="https://drive.google.com/file/d/1atNvMYNkeKDwXP3olHXzloa09S5pzjXb/view?usp=drive_link" rel="nofollow noopener noreferrer" target="_blank">https://drive.google.com/file/d/1atNvMYNkeKDwXP3olHXzloa09S5pzjXb/view?usp=drive_link</a> <a href="https://sigmoid.social/tags/nlp" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#nlp</a> <a href="https://sigmoid.social/tags/llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#llm</a> <a href="https://sigmoid.social/tags/llms" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#llms</a> <a href="https://sigmoid.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ai</a> <a href="https://sigmoid.social/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#artificialintelligence</a> <a href="https://sigmoid.social/tags/lecture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#lecture</a> <a href="https://sigmoid.social/@fizise" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@fizise</a>

Harald SackSlide 2 of our Brief Timeline for (Large) <a href="https://sigmoid.social/tags/LanguageModels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LanguageModels</a> from the last <a href="https://sigmoid.social/tags/ise2023" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ise2023</a> lecture introduced us to <a href="https://sigmoid.social/tags/ELIZA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ELIZA</a>, Joseph Weizenbaum's simple <a href="https://sigmoid.social/tags/Chatbot" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Chatbot</a> from 1966 that simulates a conversation with a psychoanalyst. Weizenbaum was shocked that some persons including his secretary attributed human-like feelings to the computer program... Slides: <a href="https://drive.google.com/file/d/1atNvMYNkeKDwXP3olHXzloa09S5pzjXb/view?usp=drive_link" rel="nofollow noopener noreferrer" target="_blank">https://drive.google.com/file/d/1atNvMYNkeKDwXP3olHXzloa09S5pzjXb/view?usp=drive_link</a> <a href="https://sigmoid.social/tags/nlp" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#nlp</a> <a href="https://sigmoid.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ai</a> <a href="https://sigmoid.social/tags/llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#llm</a> <a href="https://sigmoid.social/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#artificialintelligence</a> <a href="https://sigmoid.social/@fizise" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@fizise</a>

Harald SackAs a 2nd topic of this last <a href="https://sigmoid.social/tags/ise2023" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ise2023</a> lecture, we were discussing <a href="https://sigmoid.social/tags/KnowledgeGraph" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#KnowledgeGraph</a> Completion. Most simple approach for unsupervised <a href="https://sigmoid.social/tags/linkprediction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#linkprediction</a> based on (here translation-based) knowledge graph embeddings was explained on the example of Isaac Asimov. Slides: <a href="https://drive.google.com/file/d/1atNvMYNkeKDwXP3olHXzloa09S5pzjXb/view?usp=drive_link" rel="nofollow noopener noreferrer" target="_blank">https://drive.google.com/file/d/1atNvMYNkeKDwXP3olHXzloa09S5pzjXb/view?usp=drive_link</a> <a href="https://sigmoid.social/@fizise" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@fizise</a> <a href="https://sigmoid.social/@enorouzi" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@enorouzi</a> <a href="https://sigmoid.social/tags/scifi" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#scifi</a> <a href="https://sigmoid.social/tags/knowledgegraphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#knowledgegraphs</a> <a href="https://sigmoid.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ai</a> <a href="https://sigmoid.social/tags/deeplearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#deeplearning</a> <a href="https://sigmoid.social/tags/embeddings" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#embeddings</a>

Harald SackHow can we find out the importance of a node in a <a href="https://sigmoid.social/tags/knowledgeGraph" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#knowledgeGraph</a>? In the last <a href="https://sigmoid.social/tags/ise2023" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ise2023</a> lecture, we were discussing graph centrality measures and how they can be applied in the context of knowledge graphs. Slides: <a href="https://drive.google.com/file/d/1atNvMYNkeKDwXP3olHXzloa09S5pzjXb/view?usp=drive_link" rel="nofollow noopener noreferrer" target="_blank">https://drive.google.com/file/d/1atNvMYNkeKDwXP3olHXzloa09S5pzjXb/view?usp=drive_link</a> SPARQL query (cf image below, the 100 most "important" <a href="https://sigmoid.social/tags/SciFi" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SciFi</a> authors according to <a href="https://sigmoid.social/tags/wikidata" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#wikidata</a>) <a href="https://w.wiki/78Un" rel="nofollow noopener noreferrer" target="_blank">https://w.wiki/78Un</a> <a href="https://sigmoid.social/@fizise" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@fizise</a> <a href="https://sigmoid.social/@enorouzi" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@enorouzi</a> <a href="https://sigmoid.social/tags/semanticweb" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#semanticweb</a> <a href="https://sigmoid.social/tags/lecture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#lecture</a> <a href="https://sigmoid.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ai</a> <a href="https://sigmoid.social/tags/datascience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#datascience</a> <a href="https://sigmoid.social/tags/analytics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#analytics</a>

Harald SackTopics of the last <a href="https://sigmoid.social/tags/ise2023" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ise2023</a> lecture; The Graph in <a href="https://sigmoid.social/tags/KnowledgeGraphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#KnowledgeGraphs</a>, Knowledge Graph Completion, A Brief History of Large Language Models, and Knowledge Graphs and Large Language Models. I will highlight some topics with the upcoming toots... Slides: <a href="https://drive.google.com/file/d/1atNvMYNkeKDwXP3olHXzloa09S5pzjXb/view?usp=drive_link" rel="nofollow noopener noreferrer" target="_blank">https://drive.google.com/file/d/1atNvMYNkeKDwXP3olHXzloa09S5pzjXb/view?usp=drive_link</a> <a href="https://sigmoid.social/tags/llms" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#llms</a> <a href="https://sigmoid.social/tags/languagemodels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#languagemodels</a> <a href="https://sigmoid.social/tags/deeplearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#deeplearning</a> <a href="https://sigmoid.social/tags/linkprediction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#linkprediction</a> <a href="https://sigmoid.social/tags/kgc" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#kgc</a> <a href="https://sigmoid.social/tags/lecture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#lecture</a> <a href="https://sigmoid.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#machinelearning</a> <a href="https://sigmoid.social/tags/transformers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#transformers</a> <a href="https://sigmoid.social/tags/gpt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#gpt</a> <a href="https://sigmoid.social/@fizise" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@fizise</a> <a href="https://sigmoid.social/@enorouzi" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@enorouzi</a>

Harald SackIn last week's <a href="https://sigmoid.social/tags/ise2023" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ise2023</a> lecture we were discussing the Turing Test aka the Imitation Game as means to test a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human... However, in times of <a href="https://sigmoid.social/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ChatGPT</a> we have to rethink our concepts of "intelligence". Slides: <a href="https://drive.google.com/file/d/1LUOA-NiE4nJ4sn5elbXUN4c7YDtK9uXB/view?usp=drive_link" rel="nofollow noopener noreferrer" target="_blank">https://drive.google.com/file/d/1LUOA-NiE4nJ4sn5elbXUN4c7YDtK9uXB/view?usp=drive_link</a> <a href="https://sigmoid.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#machinelearning</a> <a href="https://sigmoid.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ai</a> <a href="https://sigmoid.social/tags/turing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#turing</a> <a href="https://sigmoid.social/tags/turingtest" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#turingtest</a> <a href="https://sigmoid.social/tags/intelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#intelligence</a> <a href="https://sigmoid.social/tags/lecture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#lecture</a> <a href="https://sigmoid.social/@fizise" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@fizise</a> <a href="https://sigmoid.social/@enorouzi" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@enorouzi</a> <a href="https://sigmoid.social/tags/aiart" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#aiart</a> <a href="https://sigmoid.social/tags/creativeai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#creativeai</a> <a href="https://sigmoid.social/tags/stablediffusionart" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#stablediffusionart</a>

Harald Sack“The only way to rectify our reasonings is to make them as tangible as those of the Mathematicians, so that we can find our error at a glance, and when there are disputes among persons, we can simply say: Let us calculate [calculemus], without further ado, to see who is right.” Quoting Leibniz for last week's <a href="https://sigmoid.social/tags/ise2023" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ise2023</a> lecture with a brief <a href="https://sigmoid.social/tags/HistoryofAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#HistoryofAI</a> Slides: <a href="https://drive.google.com/file/d/18_xPnJDM04I7pDihMMhoFIuDshfUKMk9/view?usp=sharing" rel="nofollow noopener noreferrer" target="_blank">https://drive.google.com/file/d/18_xPnJDM04I7pDihMMhoFIuDshfUKMk9/view?usp=sharing</a><a href="https://sigmoid.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ai</a> <a href="https://sigmoid.social/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#artificialintelligence</a> <a href="https://sigmoid.social/tags/lecture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#lecture</a> <a href="https://sigmoid.social/@fizise" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@fizise</a> <a href="https://mastodon.social/@KIT_Karlsruhe" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@KIT_Karlsruhe</a> @ebrahim <a href="https://sigmoid.social/tags/calculemus" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#calculemus</a> <a href="https://sigmoid.social/tags/logics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#logics</a> <a href="https://sigmoid.social/tags/leibniz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#leibniz</a> <a href="https://sigmoid.social/tags/philosophy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#philosophy</a>

Harald Sack<a href="https://sigmoid.social/@fizise" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@fizise</a> <a href="https://sigmoid.social/@enorouzi" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@enorouzi</a> ...and here is the notorious flying sheep sketch I alluded to in the <a href="https://sigmoid.social/tags/ise2023" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ise2023</a> lecture ;-) <a href="https://sigmoid.social/tags/flyingsheep" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#flyingsheep</a> <a href="https://sigmoid.social/tags/montypython" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#montypython</a> <a href="https://sigmoid.social/tags/lecture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#lecture</a> <a href="https://youtu.be/9TeiSsJ3G_0" rel="nofollow noopener noreferrer" target="_blank">https://youtu.be/9TeiSsJ3G_0</a>

Harald SackThe Open World Assumption is an important paradigm of the <a href="https://sigmoid.social/tags/SemanticWeb" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SemanticWeb</a>. In our <a href="https://sigmoid.social/tags/ise2023" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ise2023</a> lecture we illustrate the <a href="https://sigmoid.social/tags/OWA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#OWA</a> with the help of sheep...in allusion to a famous <a href="https://sigmoid.social/tags/MontyPython" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MontyPython</a> sketch...Can sheep fly? Slides: <a href="https://drive.google.com/file/d/16nmZlsXVnYfQnC80x5mAiqIYLcztur_a/view?usp=sharing" rel="nofollow noopener noreferrer" target="_blank">https://drive.google.com/file/d/16nmZlsXVnYfQnC80x5mAiqIYLcztur_a/view?usp=sharing</a> <a href="https://sigmoid.social/tags/knowledgegraphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#knowledgegraphs</a> <a href="https://sigmoid.social/tags/descriptionlogics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#descriptionlogics</a> <a href="https://sigmoid.social/tags/lecture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#lecture</a> <a href="https://sigmoid.social/@fizise" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@fizise</a> <a href="https://sigmoid.social/@enorouzi" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@enorouzi</a> P.S. Of course none of the students did know the sketch... <a href="https://sigmoid.social/tags/culturalheritage" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#culturalheritage</a> <a href="https://sigmoid.social/tags/ignorance" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ignorance</a>

Harald SackToday in the <a href="https://sigmoid.social/tags/ise2023" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ise2023</a> lecture you will learn how to unleash the power of OWL, the Web Ontology language, as well as how to implement quality assurance for <a href="https://sigmoid.social/tags/knowledgegraphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#knowledgegraphs</a> with SHACLSlides: <a href="https://drive.google.com/file/d/16nmZlsXVnYfQnC80x5mAiqIYLcztur_a/view?usp=sharing" rel="nofollow noopener noreferrer" target="_blank">https://drive.google.com/file/d/16nmZlsXVnYfQnC80x5mAiqIYLcztur_a/view?usp=sharing</a><a href="https://sigmoid.social/tags/owl" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#owl</a> <a href="https://sigmoid.social/tags/ontologies" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ontologies</a> <a href="https://sigmoid.social/tags/semanticweb" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#semanticweb</a> <a href="https://sigmoid.social/tags/shacl" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#shacl</a> <a href="https://sigmoid.social/tags/qualityassurance" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#qualityassurance</a> <a href="https://sigmoid.social/@fizise" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@fizise</a> <a href="https://sigmoid.social/@enorouzi" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@enorouzi</a> <a href="https://sigmoid.social/tags/creativeAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#creativeAI</a> <a href="https://sigmoid.social/tags/stablediffusionart" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#stablediffusionart</a> <a href="https://sigmoid.social/tags/aiart" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#aiart</a> <a href="https://sigmoid.social/tags/mars" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#mars</a>

Harald SackHow to write a SPARQL query? In this week's <a href="https://sigmoid.social/tags/ise2023" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ise2023</a> lecture we've provided you with a fundamental introduction into the SPARQL query language with tons of (working) examples.<a href="https://sigmoid.social/tags/knowledgegraphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#knowledgegraphs</a> <a href="https://sigmoid.social/tags/semanticweb" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#semanticweb</a> <a href="https://sigmoid.social/tags/lecture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#lecture</a> <a href="https://sigmoid.social/tags/sparql" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#sparql</a> <a href="https://sigmoid.social/tags/rdf" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rdf</a> <a href="https://sigmoid.social/@fizise" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@fizise</a> <a href="https://sigmoid.social/@enorouzi" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@enorouzi</a>

Harald SackAt least thew have heard of Nineteen Eighty-Four and George Orwell... The small example <a href="https://sigmoid.social/tags/knowledgegraph" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#knowledgegraph</a> to explain how <a href="https://sigmoid.social/tags/SPARQL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SPARQL</a> is working with iconic literary dystopias and scifi from our last <a href="https://sigmoid.social/tags/ise2023" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ise2023</a> lecture. This year's students have never heard of Asimov's Foundation...<a href="https://sigmoid.social/tags/scifi" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#scifi</a> <a href="https://sigmoid.social/tags/foundation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#foundation</a> <a href="https://sigmoid.social/tags/semanticweb" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#semanticweb</a> <a href="https://sigmoid.social/tags/culturalheritage" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#culturalheritage</a> <a href="https://sigmoid.social/tags/goodreads" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#goodreads</a>

Harald SackTomorrow, we will have the next <a href="https://sigmoid.social/tags/ISE2023" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ISE2023</a> lecture. This time, you will learn about SPARQL and how to query RDF <a href="https://sigmoid.social/tags/knowledgegraphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#knowledgegraphs</a>Slides: <a href="https://drive.google.com/file/d/13gLES1BYGi9E__-tBsuWno6rPffFkR5G/view?usp=sharing" rel="nofollow noopener noreferrer" target="_blank">https://drive.google.com/file/d/13gLES1BYGi9E__-tBsuWno6rPffFkR5G/view?usp=sharing</a><a href="https://sigmoid.social/tags/SPARQL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SPARQL</a> <a href="https://sigmoid.social/tags/RDF" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#RDF</a> <a href="https://sigmoid.social/tags/SemanticWeb" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SemanticWeb</a> <a href="https://sigmoid.social/tags/CreativeAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CreativeAI</a> <a href="https://sigmoid.social/tags/AIart" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AIart</a> <a href="https://sigmoid.social/tags/stablediffusionart" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#stablediffusionart</a> <a href="https://sigmoid.social/@enorouzi" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@enorouzi</a> <a href="https://sigmoid.social/@fizise" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@fizise</a>

Harald SackIn the last <a href="https://sigmoid.social/tags/ise2023" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ise2023</a> lecture, we've introduced <a href="https://sigmoid.social/tags/knowledgegraphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#knowledgegraphs</a> as an intuitive way to represent knowledge. But, graphs and labels alone are not sufficient... So, stay tuned for the next post on <a href="https://sigmoid.social/tags/ontologies" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ontologies</a> <a href="https://sigmoid.social/@fizise" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@fizise</a> <a href="https://mastodon.social/@KIT_Karlsruhe" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@KIT_Karlsruhe</a> <a href="https://nfdi.social/@nfdi4culture" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@nfdi4culture</a> <a href="https://troet.cafe/@nfdi4ds" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@nfdi4ds</a> <a href="https://sigmoid.social/tags/lecture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#lecture</a>

Harald SackLast <a href="https://sigmoid.social/tags/NLP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#NLP</a> chapter of our <a href="https://sigmoid.social/tags/ISE2023" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ISE2023</a> lecture last week was on distributional semantics and word embeddings. Of course, Wittgenstein had to be mentioned...<a href="https://sigmoid.social/tags/lecture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#lecture</a> <a href="https://sigmoid.social/tags/distributionalsemantics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#distributionalsemantics</a> <a href="https://sigmoid.social/tags/wittgenstein" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#wittgenstein</a> <a href="https://sigmoid.social/tags/stablediffusionart" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#stablediffusionart</a> <a href="https://sigmoid.social/tags/creativeAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#creativeAI</a> <a href="https://sigmoid.social/@fizise" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@fizise</a> <a href="https://mastodon.social/@KIT_Karlsruhe" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@KIT_Karlsruhe</a>

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