Source: thenewstack.io
Building GPT Applications on Open Source Stack LangChain
This is the first of two articles. In this first article, we’ll explore three essential points that developers should consider when building GPT applications on the open source stack provided by LangChain. In the second article, we’ll work through a code example using LangChain to demonstrate its power and ease of use.
By considering these three key aspects — quality data and diverse training, fine-tuning and model optimization and user experience and deployment considerations — developers can build powerful GPT applications on the open source stack provided by LangChain. In an upcoming article, I’ll start exploring the potential of GPT models and LangChain through a worked example.
By considering these three key aspects — quality data and diverse training, fine-tuning and model optimization and user experience and deployment considerations — developers can build powerful GPT applications on the open source stack provided by LangChain. In an upcoming article, I’ll start exploring the potential of GPT models and LangChain through a worked example.
Related Articles
Community Partners
DevOps Careers