Introduction Lots of modern applications are built using large language models(LLM). Most of the problems with the LLMs are that they need help understanding our data. We can use RAG to pass our data as context for LLM’s. There is always a limitation on context size and understanding our domain-specific language. The only solution to […]
Author: nithin
Open AI: Selecting, calling and executing functions
Introduction We can pass multiple functions to open AI. Based on the input chat message, Open AI will do the following The actual function will be executed in the user’s computer or server, not Open AI completion API. The models which support the function calling are 1. gpt-3.5-turbo-0125 2. gpt-4-turbo-preview How we used to call […]
Welcome to GenAI Explorer
Hi Everyone, Welcome to GenAI Explorer!!I am Nithin, a software engineer based out of India. I mainly work in Generative AI-related applications. I also have experience in cloud and big data. In this blog, I am sharing my knowledge and experience of building Generative AI applications. If you need any help in implementing solutions or […]