Explore >> Select a destination
|
You are here 
|
www.paepper.com | ||
| | | | |
www.anyscale.com
|
|
| | | | | In part 2 of this blog series, we show you how to turbocharge embeddings in LLM workflows using LangChain and Ray Data. | |
| | | | |
weaviate.io
|
|
| | | | | LangChain is one of the most exciting new tools in AI. It helps overcome many limitations of LLMs, such as hallucination and limited input lengths. | |
| | | | |
blog.chand1012.dev
|
|
| | | | | LangChain is a powerful library for Python and Javascript/Typescript that allows you to quickly prototype large language model applications. It allows you to chain together LLM tasks (hence the name) and even allows you to run autonomous agents quickly and easily. In this blog post, we'll explore how to create agents and define custom tools that those agents can use. Prerequisites Python 3.9 3.10 and up have some issues with some of LangChain?s modules. | |
| | | | |
rosslazer.com
|
|
| | | Using GPT to emulate my writing style | ||
