Tags: llm* + reddit*

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  1. The author discusses the development of a function calling large language model (LLM) that significantly improves latency for agentic applications. This LLM matches or even exceeds the performance of other frontier LLMs. It is integrated into an open-source intelligent gateway for agentic applications, allowing developers to focus on more differentiated aspects of their projects. The model and the gateway are available on Hugging Face and GitHub, respectively.

    2025-01-18 Tags: , , , , , by klotz
  2. The post discusses the feasibility of fine-tuning a decoder-encoder model to translate Egyptian Middle Kingdom hieroglyphics into English. The author suggests that with sufficient training data and a tokenizer that includes Egyptian characters, the model could learn to interpret hieroglyphics fluently. Comments from users mention using plugins and existing knowledge in models as alternatives to fine-tuning.

  3. Discussion in r/LocalLLaMA about finding a self-hosted, local RAG (Retrieval Augmented Generation) solution for large language models, allowing users to experiment with different prompts, models, and retrieval rankings. Various tools and resources are suggested, such as Open-WebUI, kotaemon, and tldw.

    2024-10-13 Tags: , , , , by klotz
  4. "Generate 5 essential questions that, when answered, capture the main points and core meaning of the text. Focus on questions that:

    Address the central theme or argument

    Identify key supporting ideas

    Highlight important facts or evidence

    Reveal the author's purpose or perspective

    Explore any significant implications or conclusions

    Phrase the questions to encourage comprehensive yet concise answers. Present only the questions, numbered and without any additional text."

  5. A mini python based tool designed to convert various types of files and GitHub repositories into LLM-ready Markdown documents with metadata, table of contents, and consistent heading styles. Supports multiple file types, handles zip files, and has GitHub integration.

    2024-06-29 Tags: , , , , , , , by klotz
  6. A post discussing new techniques developed for parsing and searching PDFs, focusing on turning them into a hierarchical structure for RAG search. The approach involves dynamically generating chunks for searches, sending headers and sub-headers to the Language Model along with relevant chunks.

    2024-06-27 Tags: , , , , , by klotz
  7. 2024-03-03 Tags: , , , , by klotz
  8. 2024-02-16 Tags: , , , , by klotz
  9. 2024-01-31 Tags: , , , , by klotz

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