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Tag: Mistral

  • Simon Willison’s Weblog: Mistral Small 3

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/30/mistral-small-3/#atom-everything Source: Simon Willison’s Weblog Title: Mistral Small 3 Feedly Summary: Mistral Small 3 First model release of 2025 for French AI lab Mistral, who describe Mistral Small 3 as “a latency-optimized 24B-parameter model released under the Apache 2.0 license." More notably, they claim the following: Mistral Small 3 is competitive with larger…

  • Slashdot: Has Europe’s Great Hope For AI Missed Its Moment?

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/01/30/117225/has-europes-great-hope-for-ai-missed-its-moment?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Has Europe’s Great Hope For AI Missed Its Moment? Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the challenges faced by France’s Mistral AI as it strives to remain a competitive independent player in the European AI landscape amidst intense competition from major U.S. and Chinese…

  • Hacker News: Mistral Small 3

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    Kurt Seifried
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    Source URL: https://mistral.ai/news/mistral-small-3/ Source: Hacker News Title: Mistral Small 3 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Mistral Small 3, a new 24B-parameter model optimized for latency, designed for generative AI tasks. It highlights the model’s competitive performance compared to larger models, its suitability for local deployment, and its potential…

  • 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…

  • Hacker News: Transformer^2: Self-Adaptive LLMs

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    Kurt Seifried
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    Source URL: https://sakana.ai/transformer-squared/ Source: Hacker News Title: Transformer^2: Self-Adaptive LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the innovative Transformer² machine learning system, which introduces self-adaptive capabilities to LLMs, allowing them to adjust dynamically to various tasks. This advancement promises significant improvements in AI efficiency and adaptability, paving the way…

  • 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: 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…

  • Simon Willison’s Weblog: My AI/LLM predictions for the next 1, 3 and 6 years, for Oxide and Friends

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/10/ai-predictions/#atom-everything Source: Simon Willison’s Weblog Title: My AI/LLM predictions for the next 1, 3 and 6 years, for Oxide and Friends Feedly Summary: The Oxide and Friends podcast has an annual tradition of asking guests to share their predictions for the next 1, 3 and 6 years. Here’s 2022, 2023 and 2024. This…

  • Hacker News: OmniAI (YC W24) Hiring Engineers to Build Open Source Document Extraction

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    Kurt Seifried
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    Source URL: https://www.ycombinator.com/companies/omniai/jobs/LG5jeP2-full-stack-engineer Source: Hacker News Title: OmniAI (YC W24) Hiring Engineers to Build Open Source Document Extraction Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the engineering roles at Omni, focused on building advanced OCR and document extraction technologies, highlighting the challenges of working with LLMs and integrating various tech…

  • Simon Willison’s Weblog: Things we learned out about LLMs in 2024

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    system automation
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    Source URL: https://simonwillison.net/2024/Dec/31/llms-in-2024/#atom-everything Source: Simon Willison’s Weblog Title: Things we learned out about LLMs in 2024 Feedly Summary: A lot has happened in the world of Large Language Models over the course of 2024. Here’s a review of things we figured out about the field in the past twelve months, plus my attempt at identifying…