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#ise2023 — Public Fediverse posts

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  1. Last leg in our brief #timeline of (Large) #languagemodels (so far) is 2023, which saw the advent of many new and updated #LLMs:
    - BARD #chatbot is introduced by Google
    - LLaMA is introduced by Meta
    - GPT-4 is introduced by OpenAI.
    - LLaMA2.0 is introduced by Meta
    - and many others...
    #ISE2023 #lecture slides: drive.google.com/file/d/1atNvM
    GPT-4 tech report: arxiv.org/pdf/2303.08774
    @fizise @KIT_Karlsruhe #ai #artificialintelligence #llm #llms #gpt #openai #llama #lamda #bard

  2. Last leg in our brief #timeline of (Large) #languagemodels (so far) is 2023, which saw the advent of many new and updated #LLMs:
    - BARD #chatbot is introduced by Google
    - LLaMA is introduced by Meta
    - GPT-4 is introduced by OpenAI.
    - LLaMA2.0 is introduced by Meta
    - and many others...
    #ISE2023 #lecture slides: drive.google.com/file/d/1atNvM
    GPT-4 tech report: arxiv.org/pdf/2303.08774
    @fizise @KIT_Karlsruhe #ai #artificialintelligence #llm #llms #gpt #openai #llama #lamda #bard

  3. Last leg in our brief #timeline of (Large) #languagemodels (so far) is 2023, which saw the advent of many new and updated #LLMs:
    - BARD #chatbot is introduced by Google
    - LLaMA is introduced by Meta
    - GPT-4 is introduced by OpenAI.
    - LLaMA2.0 is introduced by Meta
    - and many others...
    #ISE2023 #lecture slides: drive.google.com/file/d/1atNvM
    GPT-4 tech report: arxiv.org/pdf/2303.08774
    @fizise @KIT_Karlsruhe #ai #artificialintelligence #llm #llms #gpt #openai #llama #lamda #bard

  4. Last leg in our brief #timeline of (Large) #languagemodels (so far) is 2023, which saw the advent of many new and updated #LLMs:
    - BARD #chatbot is introduced by Google
    - LLaMA is introduced by Meta
    - GPT-4 is introduced by OpenAI.
    - LLaMA2.0 is introduced by Meta
    - and many others...
    #ISE2023 #lecture slides: drive.google.com/file/d/1atNvM
    GPT-4 tech report: arxiv.org/pdf/2303.08774
    @fizise @KIT_Karlsruhe #ai #artificialintelligence #llm #llms #gpt #openai #llama #lamda #bard

  5. Last leg in our brief #timeline of (Large) #languagemodels (so far) is 2023, which saw the advent of many new and updated #LLMs:
    - BARD #chatbot is introduced by Google
    - LLaMA is introduced by Meta
    - GPT-4 is introduced by OpenAI.
    - LLaMA2.0 is introduced by Meta
    - and many others...
    #ISE2023 #lecture slides: drive.google.com/file/d/1atNvM
    GPT-4 tech report: arxiv.org/pdf/2303.08774
    @fizise @KIT_Karlsruhe #ai #artificialintelligence #llm #llms #gpt #openai #llama #lamda #bard

  6. Next stop on our brief #timeline of (Large) #LanguageModels 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.
    #ise2023 lecture slides: drive.google.com/file/d/1atNvM
    #RLHF explained: huggingface.co/blog/rlhf
    #ai #creativeai #rlhf #gpt3 #gpt #openai #chatgpt #lecture #artificialintelligence #llm

  7. Next stop on our brief #timeline of (Large) #LanguageModels 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.
    #ise2023 lecture slides: drive.google.com/file/d/1atNvM
    #RLHF explained: huggingface.co/blog/rlhf
    #ai #creativeai #rlhf #gpt3 #gpt #openai #chatgpt #lecture #artificialintelligence #llm

  8. Next stop on our brief #timeline of (Large) #LanguageModels 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.
    #ise2023 lecture slides: drive.google.com/file/d/1atNvM
    #RLHF explained: huggingface.co/blog/rlhf
    #ai #creativeai #rlhf #gpt3 #gpt #openai #chatgpt #lecture #artificialintelligence #llm

  9. Next stop on our brief #timeline of (Large) #LanguageModels 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.
    #ise2023 lecture slides: drive.google.com/file/d/1atNvM
    #RLHF explained: huggingface.co/blog/rlhf
    #ai #creativeai #rlhf #gpt3 #gpt #openai #chatgpt #lecture #artificialintelligence #llm

  10. Next stop on our brief #timeline of (Large) #LanguageModels 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.
    #ise2023 lecture slides: drive.google.com/file/d/1atNvM
    #RLHF explained: huggingface.co/blog/rlhf
    #ai #creativeai #rlhf #gpt3 #gpt #openai #chatgpt #lecture #artificialintelligence #llm

  11. Next stop in our brief #timeline of (large) #languagemodels 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 #ise2023 #lecture: drive.google.com/file/d/1atNvM
    Codex paper: arxiv.org/abs/2107.03374
    DALL-E paper: arxiv.org/abs/2102.12092
    @fizise #ai #generativeAI #GPT #dalle #openai
    #lamda

  12. Next stop in our brief #timeline of (large) #languagemodels 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 #ise2023 #lecture: drive.google.com/file/d/1atNvM
    Codex paper: arxiv.org/abs/2107.03374
    DALL-E paper: arxiv.org/abs/2102.12092
    @fizise #ai #generativeAI #GPT #dalle #openai
    #lamda

  13. Next stop in our brief #timeline of (large) #languagemodels 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 #ise2023 #lecture: drive.google.com/file/d/1atNvM
    Codex paper: arxiv.org/abs/2107.03374
    DALL-E paper: arxiv.org/abs/2102.12092
    @fizise #ai #generativeAI #GPT #dalle #openai
    #lamda

  14. Next stop in our brief #timeline of (large) #languagemodels 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 #ise2023 #lecture: drive.google.com/file/d/1atNvM
    Codex paper: arxiv.org/abs/2107.03374
    DALL-E paper: arxiv.org/abs/2102.12092
    @fizise #ai #generativeAI #GPT #dalle #openai
    #lamda

  15. Next stop in our brief #timeline of (large) #languagemodels 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 #ise2023 #lecture: drive.google.com/file/d/1atNvM
    Codex paper: arxiv.org/abs/2107.03374
    DALL-E paper: arxiv.org/abs/2102.12092
    @fizise #ai #generativeAI #GPT #dalle #openai
    #lamda

  16. Next leg in our brief history of (Large) #LanguageModel is 2020, when #GPT-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: drive.google.com/file/d/1atNvM
    paper: proceedings.neurips.cc/paper/2
    @fizise #ai #artificialintelligence #creativeai #llm #ise2023 #lecture

  17. Next leg in our brief history of (Large) #LanguageModel is 2020, when #GPT-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: drive.google.com/file/d/1atNvM
    paper: proceedings.neurips.cc/paper/2
    @fizise #ai #artificialintelligence #creativeai #llm #ise2023 #lecture

  18. Next leg in our brief history of (Large) #LanguageModel is 2020, when #GPT-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: drive.google.com/file/d/1atNvM
    paper: proceedings.neurips.cc/paper/2
    @fizise #ai #artificialintelligence #creativeai #llm #ise2023 #lecture

  19. Next leg in our brief history of (Large) #LanguageModel is 2020, when #GPT-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: drive.google.com/file/d/1atNvM
    paper: proceedings.neurips.cc/paper/2
    @fizise #ai #artificialintelligence #creativeai #llm #ise2023 #lecture

  20. Next leg in our brief history of (Large) #LanguageModel is 2020, when #GPT-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: drive.google.com/file/d/1atNvM
    paper: proceedings.neurips.cc/paper/2
    @fizise #ai #artificialintelligence #creativeai #llm #ise2023 #lecture

  21. @bsletten The #ise2023 summer lecture was not recorded. The intention was to bring students back to university lecture halls. There is a 80% overlap with the #ise2021 lecture which is already on #youtube. However, if you are interested in our latest lecture on #knowledgegraphs, don't miss the (free) #KG2023 online course "Knowledge Graphs - Foundations and Applications" on #OpenHPI which starts in Oct 2023.
    open.hpi.de/courses/knowledgeg
    @fizise @tabea @sashabruns @Hasso_Plattner_Institute

  22. @bsletten The #ise2023 summer lecture was not recorded. The intention was to bring students back to university lecture halls. There is a 80% overlap with the #ise2021 lecture which is already on #youtube. However, if you are interested in our latest lecture on #knowledgegraphs, don't miss the (free) #KG2023 online course "Knowledge Graphs - Foundations and Applications" on #OpenHPI which starts in Oct 2023.
    open.hpi.de/courses/knowledgeg
    @fizise @tabea @sashabruns @Hasso_Plattner_Institute

  23. @bsletten The #ise2023 summer lecture was not recorded. The intention was to bring students back to university lecture halls. There is a 80% overlap with the #ise2021 lecture which is already on #youtube. However, if you are interested in our latest lecture on #knowledgegraphs, don't miss the (free) #KG2023 online course "Knowledge Graphs - Foundations and Applications" on #OpenHPI which starts in Oct 2023.
    open.hpi.de/courses/knowledgeg
    @fizise @tabea @sashabruns @Hasso_Plattner_Institute

  24. @bsletten The #ise2023 summer lecture was not recorded. The intention was to bring students back to university lecture halls. There is a 80% overlap with the #ise2021 lecture which is already on #youtube. However, if you are interested in our latest lecture on #knowledgegraphs, don't miss the (free) #KG2023 online course "Knowledge Graphs - Foundations and Applications" on #OpenHPI which starts in Oct 2023.
    open.hpi.de/courses/knowledgeg
    @fizise @tabea @sashabruns @Hasso_Plattner_Institute

  25. @bsletten The #ise2023 summer lecture was not recorded. The intention was to bring students back to university lecture halls. There is a 80% overlap with the #ise2021 lecture which is already on #youtube. However, if you are interested in our latest lecture on #knowledgegraphs, don't miss the (free) #KG2023 online course "Knowledge Graphs - Foundations and Applications" on #OpenHPI which starts in Oct 2023.
    open.hpi.de/courses/knowledgeg
    @fizise @tabea @sashabruns @Hasso_Plattner_Institute

  26. Next stop in our brief Timeline of (large) #languagemodels from the #ise2023 lecture is the advent of the Graphical Processing Units #gpu. In 1999 Nvidias GeForce 256 was one of the very first, which enabled highly parallel computations for #neuralnetworks
    Slides: drive.google.com/file/d/1atNvM
    @fizise #artificialintelligence #lecture #ai #machinelearning #llm

  27. Next stop in our brief Timeline of (large) #languagemodels from the #ise2023 lecture is the advent of the Graphical Processing Units #gpu. In 1999 Nvidias GeForce 256 was one of the very first, which enabled highly parallel computations for #neuralnetworks
    Slides: drive.google.com/file/d/1atNvM
    @fizise #artificialintelligence #lecture #ai #machinelearning #llm

  28. Next stop in our brief Timeline of (large) #languagemodels from the #ise2023 lecture is the advent of the Graphical Processing Units #gpu. In 1999 Nvidias GeForce 256 was one of the very first, which enabled highly parallel computations for #neuralnetworks
    Slides: drive.google.com/file/d/1atNvM
    @fizise #artificialintelligence #lecture #ai #machinelearning #llm

  29. Next stop in our brief Timeline of (large) #languagemodels from the #ise2023 lecture is the advent of the Graphical Processing Units #gpu. In 1999 Nvidias GeForce 256 was one of the very first, which enabled highly parallel computations for #neuralnetworks
    Slides: drive.google.com/file/d/1atNvM
    @fizise #artificialintelligence #lecture #ai #machinelearning #llm

  30. Next stop in our brief Timeline of (large) #languagemodels from the #ise2023 lecture is the advent of the Graphical Processing Units #gpu. In 1999 Nvidias GeForce 256 was one of the very first, which enabled highly parallel computations for #neuralnetworks
    Slides: drive.google.com/file/d/1atNvM
    @fizise #artificialintelligence #lecture #ai #machinelearning #llm

  31. 1997 with the advent of Long Short-Term Memory recurrent #neuralnetworks marks the subsequent step in our brief history of )large) #languagemodels from last week's #ise2023 lecture. Introduced by Sepp Hochreiter and Jürgen Schmidhuber #LSTM #RNNs enabled efficient processing of sequences of data.
    Slides: drive.google.com/file/d/1atNvM
    #nlp #llm #llms #ai #artificialintelligence #lecture @fizise

  32. 1997 with the advent of Long Short-Term Memory recurrent #neuralnetworks marks the subsequent step in our brief history of )large) #languagemodels from last week's #ise2023 lecture. Introduced by Sepp Hochreiter and Jürgen Schmidhuber #LSTM #RNNs enabled efficient processing of sequences of data.
    Slides: drive.google.com/file/d/1atNvM
    #nlp #llm #llms #ai #artificialintelligence #lecture @fizise

  33. 1997 with the advent of Long Short-Term Memory recurrent #neuralnetworks marks the subsequent step in our brief history of )large) #languagemodels from last week's #ise2023 lecture. Introduced by Sepp Hochreiter and Jürgen Schmidhuber #LSTM #RNNs enabled efficient processing of sequences of data.
    Slides: drive.google.com/file/d/1atNvM
    #nlp #llm #llms #ai #artificialintelligence #lecture @fizise

  34. 1997 with the advent of Long Short-Term Memory recurrent #neuralnetworks marks the subsequent step in our brief history of )large) #languagemodels from last week's #ise2023 lecture. Introduced by Sepp Hochreiter and Jürgen Schmidhuber #LSTM #RNNs enabled efficient processing of sequences of data.
    Slides: drive.google.com/file/d/1atNvM
    #nlp #llm #llms #ai #artificialintelligence #lecture @fizise

  35. 1997 with the advent of Long Short-Term Memory recurrent #neuralnetworks marks the subsequent step in our brief history of )large) #languagemodels from last week's #ise2023 lecture. Introduced by Sepp Hochreiter and Jürgen Schmidhuber #LSTM #RNNs enabled efficient processing of sequences of data.
    Slides: drive.google.com/file/d/1atNvM
    #nlp #llm #llms #ai #artificialintelligence #lecture @fizise

  36. Next step in our brief timeline of (large) #languagemodels from our #ise2023 lecture was statistical language modeling with n-grams based on large text corpora as introduced and popularized by Frederick Jelinek and Stanley F. Chen using statistical tricks like Bayes Theorem, Markov Assumption, and Maximum Likelihood Estimation, etc.
    Slides: drive.google.com/file/d/1atNvM
    @fizise #nlp #llm #llms #artificialintelligence #ai #lecture #creativeAI

  37. Next step in our brief timeline of (large) #languagemodels from our #ise2023 lecture was statistical language modeling with n-grams based on large text corpora as introduced and popularized by Frederick Jelinek and Stanley F. Chen using statistical tricks like Bayes Theorem, Markov Assumption, and Maximum Likelihood Estimation, etc.
    Slides: drive.google.com/file/d/1atNvM
    @fizise #nlp #llm #llms #artificialintelligence #ai #lecture #creativeAI

  38. Next step in our brief timeline of (large) #languagemodels from our #ise2023 lecture was statistical language modeling with n-grams based on large text corpora as introduced and popularized by Frederick Jelinek and Stanley F. Chen using statistical tricks like Bayes Theorem, Markov Assumption, and Maximum Likelihood Estimation, etc.
    Slides: drive.google.com/file/d/1atNvM
    @fizise #nlp #llm #llms #artificialintelligence #ai #lecture #creativeAI

  39. Next step in our brief timeline of (large) #languagemodels from our #ise2023 lecture was statistical language modeling with n-grams based on large text corpora as introduced and popularized by Frederick Jelinek and Stanley F. Chen using statistical tricks like Bayes Theorem, Markov Assumption, and Maximum Likelihood Estimation, etc.
    Slides: drive.google.com/file/d/1atNvM
    @fizise #nlp #llm #llms #artificialintelligence #ai #lecture #creativeAI

  40. Next step in our brief timeline of (large) #languagemodels from our #ise2023 lecture was statistical language modeling with n-grams based on large text corpora as introduced and popularized by Frederick Jelinek and Stanley F. Chen using statistical tricks like Bayes Theorem, Markov Assumption, and Maximum Likelihood Estimation, etc.
    Slides: drive.google.com/file/d/1atNvM
    @fizise #nlp #llm #llms #artificialintelligence #ai #lecture #creativeAI

  41. Went to the university office to collect the #ise2023 final exams for later reviewing together with the @fizise ta team. But for now, a #perfectEspresso at home… because it was too rainy today for walking to Espresso Stazione ☕️ #lecture #coffeechallenge #karlsruhe @KIT_Karlsruhe

  42. Went to the university office to collect the #ise2023 final exams for later reviewing together with the @fizise ta team. But for now, a #perfectEspresso at home… because it was too rainy today for walking to Espresso Stazione ☕️ #lecture #coffeechallenge #karlsruhe @KIT_Karlsruhe

  43. Went to the university office to collect the #ise2023 final exams for later reviewing together with the @fizise ta team. But for now, a #perfectEspresso at home… because it was too rainy today for walking to Espresso Stazione ☕️ #lecture #coffeechallenge #karlsruhe @KIT_Karlsruhe

  44. Went to the university office to collect the #ise2023 final exams for later reviewing together with the @fizise ta team. But for now, a #perfectEspresso at home… because it was too rainy today for walking to Espresso Stazione ☕️ #lecture #coffeechallenge #karlsruhe @KIT_Karlsruhe

  45. Went to the university office to collect the #ise2023 final exams for later reviewing together with the @fizise ta team. But for now, a #perfectEspresso at home… because it was too rainy today for walking to Espresso Stazione ☕️ #lecture #coffeechallenge #karlsruhe @KIT_Karlsruhe

  46. Slide 2 of our Brief Timeline for (Large) #LanguageModels from the last #ise2023 lecture introduced us to #ELIZA, Joseph Weizenbaum's simple #Chatbot 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: drive.google.com/file/d/1atNvM
    #nlp #ai #llm #artificialintelligence @fizise

  47. Slide 2 of our Brief Timeline for (Large) #LanguageModels from the last #ise2023 lecture introduced us to #ELIZA, Joseph Weizenbaum's simple #Chatbot 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: drive.google.com/file/d/1atNvM
    #nlp #ai #llm #artificialintelligence @fizise

  48. Slide 2 of our Brief Timeline for (Large) #LanguageModels from the last #ise2023 lecture introduced us to #ELIZA, Joseph Weizenbaum's simple #Chatbot 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: drive.google.com/file/d/1atNvM
    #nlp #ai #llm #artificialintelligence @fizise