What is LangSmith? Tracing and debugging for LLMs
Use LangSmith to debug, test, evaluate, and monitor chains and intelligent agents in LangChain and other LLM applications.
Use LangSmith to debug, test, evaluate, and monitor chains and intelligent agents in LangChain and other LLM applications.
Llama 2 is a family of generative text models that are optimised for assistant-like chat use cases or can be adapted for a variety of natural language generation tasks. Code Llama models are fine-tuned for programming tasks.
Large language models (LLMs) used for generative AI tools can consume vast amounts of processor cycles and be costly to use. Smaller, more industry- or business-tailored models can often provide better results tailored to business needs.
AI has the potential to raise productivity over the next decade, but we’re still some way from it transforming the enterprise in the short term.
Chinese internet giant Hunyuan launched its new Hunyuan LLM today, claiming it to be more powerful and intelligent than US -developed ChatGPT and Llama-2.
Deploying a large language model on your own system can be surprisingly simple—if you have the right tools. Here's how to use LLMs like Meta's new Code Llama on your desktop.
LangChain is an SDK that simplifies the integration of large language models and applications by chaining together components and exposing a simple and unified API. Here’s a quick primer.
Broader support for confidential AI use cases provides safeguards for machine learning and AI models to execute on encrypted data inside of trusted executions environments.