フレッシュ スペース & テクノロジー NEWS📢
It was only six months ago that we released the first version of LangChain, but it seems like several years. When we launched, generative AI was starting to go mainstream: stable diffusion had just been released and was captivating people’s imagination and fueling an explosion in developer activity, Jasper announced a funding round, and investors…
TL;DR: We are adjusting our abstractions to make it easy for other retrieval methods besides the LangChain VectorDB object to be used in LangChain. This is done with the goals of (1) allowing retrievers constructed elsewhere to be used more easily in LangChain, (2) encouraging more experimentation with alternative retrieval methods (like hybrid search). This…
Large Language Models (LLMs) entered the world stage with the release of OpenAI’s GPT-3 in 2020 [1]. Since then, they’ve enjoyed a steady growth in popularity.That is until late 2022. Interest in LLMs and the broader discipline of generative AI has skyrocketed. The reasons for this are likely the continuous upward momentum of significant advances…
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⚡ Building applications with LLMs through composability ⚡ Quick Install pip install langchain 🤔 What is this? Large language models (LLMs) are emerging as a transformative technology, enabling developers to build applications that they previously could not. But using these LLMs in isolation is often not enough to create a truly powerful app – the…
