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Tag: llm

  • Simon Willison’s Weblog: Quoting Ethan Mollick

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    Source URL: https://simonwillison.net/2024/Dec/7/ethan-mollick/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Ethan Mollick Feedly Summary: A test of how seriously your firm is taking AI: when o-1 (& the new Gemini) came out this week, were there assigned folks who immediately ran the model through internal, validated, firm-specific benchmarks to see how useful it as? Did you…

  • The Register: Elon Musk tops US political donor list with $270M+ for Team Trump

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    Source URL: https://www.theregister.com/2024/12/07/elon_election_spending/ Source: The Register Title: Elon Musk tops US political donor list with $270M+ for Team Trump Feedly Summary: Plus, xAI scores another $6B to fuel Musk’s war on OpenAI Elon Musk gave more than $270 million to political groups supporting Donald Trump’s 2024 presidential campaign and others on the American right, according…

  • Simon Willison’s Weblog: Meta AI release Llama 3.3

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    Source URL: https://simonwillison.net/2024/Dec/6/llama-33/#atom-everything Source: Simon Willison’s Weblog Title: Meta AI release Llama 3.3 Feedly Summary: Meta AI release Llama 3.3 This new Llama-3.3-70B-Instruct model from Meta AI makes some bold claims: This model delivers similar performance to Llama 3.1 405B with cost effective inference that’s feasible to run locally on common developer workstations. I have…

  • Simon Willison’s Weblog: New Gemini model: gemini-exp-1206

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    Source URL: https://simonwillison.net/2024/Dec/6/gemini-exp-1206/#atom-everything Source: Simon Willison’s Weblog Title: New Gemini model: gemini-exp-1206 Feedly Summary: New Gemini model: gemini-exp-1206 Google’s Jeff Dean: Today’s the one year anniversary of our first Gemini model releases! And it’s never looked better. Check out our newest release, Gemini-exp-1206, in Google AI Studio and the Gemini API! I upgraded my llm-gemini…

  • Hacker News: Llama-3.3-70B-Instruct

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    Source URL: https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct Source: Hacker News Title: Llama-3.3-70B-Instruct Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides comprehensive information about the Meta Llama 3.3 multilingual large language model, highlighting its architecture, training methodologies, intended use cases, safety measures, and performance benchmarks. It elucidates the model’s capabilities, including its pretraining on extensive datasets…

  • Embrace The Red: Terminal DiLLMa: LLM-powered Apps Can Hijack Your Terminal Via Prompt Injection

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    Source URL: https://embracethered.com/blog/posts/2024/terminal-dillmas-prompt-injection-ansi-sequences/ Source: Embrace The Red Title: Terminal DiLLMa: LLM-powered Apps Can Hijack Your Terminal Via Prompt Injection Feedly Summary: Last week Leon Derczynski described how LLMs can output ANSI escape codes. These codes, also known as control characters, are interpreted by terminal emulators and modify behavior. This discovery resonates with areas I had…

  • Hacker News: Show HN: Prompt Engine – Auto pick LLMs based on your prompts

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    Source URL: https://jigsawstack.com/blog/jigsawstack-mixture-of-agents-moa-outperform-any-single-llm-and-reduce-cost-with-prompt-engine Source: Hacker News Title: Show HN: Prompt Engine – Auto pick LLMs based on your prompts Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The JigsawStack Mixture-Of-Agents (MoA) offers a novel framework for leveraging multiple Language Learning Models (LLMs) in applications, effectively addressing challenges in prompt management, cost…

  • Hacker News: Roaming RAG – Make the Model Find the Answers

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    Source URL: http://arcturus-labs.com/blog/2024/11/21/roaming-rag–make-_the-model_-find-the-answers/ Source: Hacker News Title: Roaming RAG – Make the Model Find the Answers Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text presents a novel approach called “Roaming RAG,” which simplifies the retrieval-augmented generation (RAG) model by allowing a large language model (LLM) to directly navigate well-structured documents without the…

  • Simon Willison’s Weblog: Roaming RAG – make the model find the answers

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    Source URL: https://simonwillison.net/2024/Dec/6/roaming-rag/#atom-everything Source: Simon Willison’s Weblog Title: Roaming RAG – make the model find the answers Feedly Summary: Roaming RAG – make the model find the answers Neat new RAG technique (with a snappy name) from John Berryman: The big idea of Roaming RAG is to craft a simple LLM application so that the…

  • Simon Willison’s Weblog: datasette-enrichments-llm

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    Source URL: https://simonwillison.net/2024/Dec/5/datasette-enrichments-llm/#atom-everything Source: Simon Willison’s Weblog Title: datasette-enrichments-llm Feedly Summary: datasette-enrichments-llm Today’s new alpha release is datasette-enrichments-llm, a plugin for Datasette 1.0a+ that provides an enrichment that lets you run prompts against data from one or more column and store the result in another column. So far it’s a light re-implementation of the existing…