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Achievement: Pair Extraordinairex2Achievement: Pull Sharkx2Achievement: QuickdrawAchievement: YOLO

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colesmcintosh/README.md

AI Research & Development

Active contributor to LiteLLM and author of LangChain Salesforce.

Building scalable multi-agent systems, optimizing high-performance LLMs, and advancing vector search with similarity optimization techniques.

Featured Projects

  • chain-of-thought-reranking: Enhancing LLM output quality through internal chain-of-thought extraction, reranking, and refinement.
  • langchain-salesforce: Comprehensive Langchain integration for Salesforce CRM featuring SOQL queries, schema inspection, and CRUD operations.
  • vector-vault: High-performance vector similarity search engine built with LSH optimization in Go.
  • pycuda-numpy-vector-ops: GPU-accelerated NumPy vector operations using PyCUDA within Jupyter environments.
  • logit-control: Precision control over LLM token generation through logit manipulation for structured outputs via Hugging Face Transformers.
  • social-media-agent-system: Intelligent multi-agent framework leveraging specialized AI agents for dynamic social media content creation.

Star the ones that interest you!

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  1. chain-of-thought-reranking chain-of-thought-reranking Public

    an approach to optimizing large language model (LLM) responses by extracting, reranking, and refining their internal chain-of-thought (CoT). By focusing on the most coherent and relevant parts of t…

    Jupyter Notebook 4

  2. langchain-salesforce langchain-salesforce Public

    Langchain integration for Salesforce CRM, providing tools for SOQL queries, object schema inspection, and CRUD operations through Langchain's framework

    Python 3 1

  3. vector-vault vector-vault Public

    A high-performance vector similarity search engine with LSH (Locality-Sensitive Hashing) optimization, written in Go.

    Go

  4. pycuda-numpy-vector-ops pycuda-numpy-vector-ops Public

    Accelerating NumPy Vector Operations with PyCUDA

    Jupyter Notebook

  5. logit-control logit-control Public

    Control LLM token generation by directly manipulating logits to enforce structured outputs. Built with Hugging Face Transformers and demonstrated using Qwen2.5-0.5B.

    Python

  6. social-media-agent-system social-media-agent-system Public

    A sophisticated multi-agent system that combines specialized AI agents to create engaging social media content. The system leverages a Research Agent for gathering accurate, up-to-date information …

    Python

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