by Zainul Abideen | Jul 31, 2025
Introduction to Ray LLM The ray-llm repository has been archived, marking a significant transition in the deployment of large language models (LLMs) within the Ray ecosystem. The new APIs, ray.serve.llm and ray.data.llm, are designed to enhance the deployment process,...
by Zainul Abideen | Jul 31, 2025
Introduction to AnythingLLM In the rapidly evolving landscape of artificial intelligence, AnythingLLM stands out as a versatile application designed to enhance user interaction with documents and resources. This full-stack application allows users to engage with any...
by Zainul Abideen | Jul 31, 2025
Introduction to NeumAI NeumAI is a powerful collection of tools designed to facilitate the implementation of Retrieval-Augmented Generation (RAG) pipelines. With a focus on enhancing data processing and retrieval, NeumAI provides developers with a suite of utilities...
by Zainul Abideen | Jul 31, 2025
Introduction to DeepEval DeepEval is an innovative framework designed for evaluating AI models, providing developers with the tools necessary to assess performance, robustness, and security. With its extensive codebase of 137,300 lines across 790 files, DeepEval...
by Zainul Abideen | Jul 31, 2025
Introduction to Giskard Giskard is an innovative framework tailored for machine learning testing and validation. With a robust architecture and a focus on enhancing model performance, Giskard empowers developers to ensure their models are reliable and effective. This...
