Large Language Model topic
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.
milvus
A cloud-native vector database, storage for next generation AI applications
GPTCache
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
AutoGPT-Next-Web
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.一键免费部署你的私人AutoGPT 网页应用
chameleon-llm
Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".
PentestGPT
A GPT-empowered penetration testing tool
databerry
The no-code platform for building custom LLM Agents
pandas-ai
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
mlc-llm
Universal LLM Deployment Engine with ML Compilation