The /llms.txt file, helping language models use your website
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💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Create knowledge graphs with LLMs
Enhances Tesseract OCR output using LLMs (local or API) for error correction, smart chunking, and markdown formatting of scanned PDFs
llama.cpp fork with additional SOTA quants and improved performance
Distribute and run LLMs with a single file.
[EMNLP'23, ACL'24] To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.
