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The official Python SDK for Model Context Protocol servers and clients
Scaling inference-time compute for LLM-as-a-judge, automated evaluations, guardrails, and reinforcement learning.
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.
Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs
python jupyter notebook tutorials
AgenticSearch operates within an agentic workflow, utilizing Gemini 2.0 and an extensive tool registry to handle complex questions. By integrating and synthesizing data from multiple APIs, it deliv…
Test your prompts, agents, and RAGs. Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with comma…
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
A standard for reducing log volume without sacrificing analytical capability
The repository explores various RAG techniques, including implementation guides, use cases, and best practices. Each article is designed to help researchers, developers, and enthusiasts understand …
LettuceDetect is a hallucination detection framework for RAG applications.
An AI-powered threat modeling tool that leverages OpenAI's GPT models to generate threat models for a given application based on the STRIDE methodology.
Repository for the Zero Trust Assessment project
Docs, Snippets, Guides
Developer APIs to Accelerate LLM Projects
Build a Recommendation System Agent using LATS Agent Approach
DeepEP: an efficient expert-parallel communication library
A curated list of resources about Snowflake
Enable LLMs to Program Themselves.
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Achieve the llama3 inference step-by-step, grasp the core concepts, master the process derivation, implement the code.