Showing 21-40 of 208 projects
AgentScope is a Python library for building applications using agent-oriented programming and large language models.
A collection of multimodal large language models and their latest advances.
An open-source machine learning engineering reference with resources for training, deploying, and scaling AI models.
CAMEL is a multi-agent framework for exploring the scaling law of artificial intelligence agents.
An open-source bilingual chat language model for developers
An ongoing research project focused on training large language models at scale using transformers.
A collection of state-of-the-art deep learning scripts for various AI/ML tasks, easily trainable and deployable.
A tensor library for machine learning, with a focus on large language models and automatic differentiation.
A collection of high-performance large language models (LLMs) with recipes to pretrain, finetune, and deploy at scale.
Sample code and notebooks for using Generative AI on Google Cloud, with Gemini on Vertex AI.
A comprehensive list of open-source large language models (LLMs) available for commercial use.
A hierarchical reasoning model for large language models, focused on AI-powered developer tools and productivity.
All-in-one AI framework for semantic search, LLM orchestration and language model workflows
An automated penetration testing framework powered by large language models for security research.
A curated list of modern Generative AI projects and services for developers building AI-powered applications.
Open-source stack for industrial-grade LLM applications, including LLM gateway, observability, optimization, evaluation, and experimentation.
An AI-powered personalized learning assistant that leverages large language models and multi-agent systems.
A curated list of practical guide resources for working with large language models (LLMs) and NLP.
A lightweight LLM framework that allows developers to build their own AI agents and workflows
A distributed system for running large language models (LLMs) on personal devices, enabling faster fine-tuning and inference.
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