LikithMeruvu/Internet-Access-to-LLM
This repository provides a framework to integrate internet search capabilities with a Language Learning Model (LLM), specifically using Gemini 1.5 API. This allows the LLM to fetch and use real-time data from the internet to enhance its responses to user queries.
This framework lets you give a large language model (LLM) like Gemini 1.5 the ability to search the internet in real-time. When you ask the LLM a question, it can decide if it needs current information from the web to give you a better answer. It takes your natural language question, searches the internet for relevant articles, videos, and images, and then incorporates that fresh information into its response. This is for anyone who uses LLMs and needs them to provide up-to-date, fact-checked, or dynamically sourced information beyond their training data.
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Use this if you need your LLM to answer questions using the most current information available on the internet, rather than relying solely on its pre-trained knowledge.
Not ideal if your use case involves sensitive data that shouldn't be exposed to internet searches, or if you primarily need responses based on a fixed, internal knowledge base.
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Language
Python
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MIT
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Last pushed
Jun 03, 2024
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