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llms

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A large language model (LLM) is a type of machine learning model designed for understanding, generating, and interacting with human language. These models are trained on extensive datasets containing text from books, articles, websites, and other sources to learn patterns, context, and semantics in language. LLMs are widely used in applications like chatbots, code generation, translation, summarization, and more. They are often built using transformer architectures and are central to the field of generative AI.

Here are 60 public repositories matching this topic...

Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

  • Updated Dec 5, 2025
  • Rust

Delivery infrastructure for agents. Arch is a models-native proxy server that handles the plumbing work in AI: agent routing & orchestration, guardrails, zero-code logs and traces, unified access to LLMs from OpenAI, Anthropic, Ollama, etc. Build agents faster, and deliver them reliably to production.

  • Updated Dec 4, 2025
  • Rust