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Tag: GPT

  • Slashdot: ‘Mistral is Peanuts For Us’: Meta Execs Obsessed Over Beating OpenAI’s GPT-4 Internally, Court Filings Reveal

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    Kurt Seifried
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    Source URL: https://tech.slashdot.org/story/25/01/15/1715239/mistral-is-peanuts-for-us-meta-execs-obsessed-over-beating-openais-gpt-4-internally-court-filings-reveal Source: Slashdot Title: ‘Mistral is Peanuts For Us’: Meta Execs Obsessed Over Beating OpenAI’s GPT-4 Internally, Court Filings Reveal Feedly Summary: AI Summary and Description: Yes Summary: The text highlights Meta’s competitive drive to surpass OpenAI’s GPT-4, as revealed in internal communications related to an AI copyright case. Meta’s executives express a…

  • OpenAI : Partnering with Axios expands OpenAI’s work with the news industry

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    Kurt Seifried
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    Source URL: https://openai.com/index/partnering-with-axios-expands-openai-work-with-the-news-industry Source: OpenAI Title: Partnering with Axios expands OpenAI’s work with the news industry Feedly Summary: Publishers representing hundreds of newsrooms and content brands are using OpenAI partnerships and grant programs to adopt AI tools and strengthen the news ecosystem, while ChatGPT users gain access to information from leading, reliable publications. AI Summary…

  • The Register: Foundation model for tabular data slashes training from hours to seconds

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/01/15/foundation_model_tabular_data/ Source: The Register Title: Foundation model for tabular data slashes training from hours to seconds Feedly Summary: Good ol’ spreadsheet data could benefit from ‘revolutionary’ approach to ML inferences Move over ChatGPT and DALL-E: Spreadsheet data is getting its own foundation machine learning model, allowing users to immediately make inferences about new…

  • Hacker News: Training AI models might not need enormous data centres

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    Kurt Seifried
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    Source URL: https://www.economist.com/science-and-technology/2025/01/08/training-ai-models-might-not-need-enormous-data-centres Source: Hacker News Title: Training AI models might not need enormous data centres Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the increasing competition among tech leaders to secure vast computational resources, specifically GPUs, which are crucial for training advanced AI models like GPT-4. This arms race highlights…

  • Hacker News: Cheating Is All You Need

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    Kurt Seifried
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    Source URL: https://sourcegraph.com/blog/cheating-is-all-you-need Source: Hacker News Title: Cheating Is All You Need Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides an enthusiastic commentary on the transformative impact of Large Language Models (LLMs) in software engineering, likening their significance to that of the World Wide Web or cloud computing. The author discusses…

  • Simon Willison’s Weblog: Codestral 25.01

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/13/codestral-2501/ Source: Simon Willison’s Weblog Title: Codestral 25.01 Feedly Summary: Codestral 25.01 Brand new code-focused model from Mistral. Unlike the first Codestral this one isn’t (yet) available as open weights. The model has a 256k token context – a new record for Mistral. The new model scored an impressive joint first place with…

  • Hacker News: How we used GPT-4o for image detection with 350 similar illustrations

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    Kurt Seifried
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    Source URL: https://olup-blog.pages.dev/stories/image-detection-cars Source: Hacker News Title: How we used GPT-4o for image detection with 350 similar illustrations Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the innovative use of GPT-4o and computer vision technologies in developing a solution for image detection in a museum project. It highlights the shift in…

  • Hacker News: AI Engineer Reading List

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    Kurt Seifried
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    Source URL: https://www.latent.space/p/2025-papers Source: Hacker News Title: AI Engineer Reading List Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text focuses on providing a curated reading list for AI engineers, particularly emphasizing recent advancements in large language models (LLMs) and related AI technologies. It is a practical guide designed to enhance the knowledge…

  • Hacker News: Entropy of a Large Language Model output

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    Kurt Seifried
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    Source URL: https://nikkin.dev/blog/llm-entropy.html Source: Hacker News Title: Entropy of a Large Language Model output Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This text discusses the functionalities and implications of large language models (LLMs) like ChatGPT from an information theoretic perspective, particularly focusing on concepts such as token generation and entropy. This examination provides…