The llms.txt file is unusual in that it uses Markdown to structure the information rather than a classic structured format such as XML. The reason for this is that we expect many of these files to be read by language models and agents.
LLMS
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How Language Models Process Information Differently
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Providing information for language models is different to providing information for humans. Language models generally like to have information in a more concise form, and they can ingest a lot of information quickly.
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llms.txt standard for LLM-friendly content distribution
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We propose that those interested in providing LLM-friendly content add a /llms.txt file to their site. llms.txt markdown is human and LLM readable, but is also in a precise format allowing fixed processing methods.
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Websites Now Serve Information to Large Language Models
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Today websites are not just used to provide information to people, but they are also used to provide information to large language models. For instance, language models are often used to enhance development environments used by coders.
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Answer.ai proposes /llms.txt standard for LLM-friendly content
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Today @answerdotai is proposing `/llms.txt`. This is a file you can use to tell models where to find LLM-friendly content for your website. It provides background information, along with links to markdown files providing more detailed information.
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llms.txt Proposal: Website, Parsers, and Editor Integration
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We're providing a website with details of the proposal, & javascript and python parsers. There's also an example of how to incorporate llms.txt into an editor–rather than weight into the emacs vs vim vs vscode wars, we picked ed, the standard text editor
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AI People Game Launches September 19 with LLM NPCs
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We are developing AI People, a game with LLM driven NPCs that observe and can interact with the environment and each other Alpha will come on September 19 @aipeoplegame
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SubgoalXL: Advanced AI Reasoning and Proof Formalization Framework
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Check out our work: GitHub: https://
github.com/zhaoxlpku/Subg
oalXL
… Datasets & Models: https://
huggingface.co/collections/xl
-zhao/subgoalxl-66c84b77e0eaf131c0cdac15
… Paper: https://
arxiv.org/abs/2408.11172
Join us in pushing the boundaries of AI reasoning! #AI #LLM #SubgoalXL #AIResearch #ProofFormalization #MachineAssistedProofs -
SubgoalXL Enhances Multi-Step Reasoning in Large Language Models
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Key strengths of SubgoalXL: • Subgoal-based decomposition for improved reasoning
• Iterative refinement through expert learning
• Efficient use of limited formal and informal data
Result: Enhanced multi-step reasoning in LLMs! -
SubgoalXL Advances LLM Reasoning for Theorem Proving
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Continue to push the boundaries of LLM reasoning! Excited to announce SubgoalXL, a joint effort advancing the frontier of AI-powered theorem proving between @HKUniversity (
@xlzhao_hku
, @linzhengisme
, @ikekong
) and @SambaNovaAI
. On miniF2F, a challenging theorem proving