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google-generative-ai

Here are 149 public repositories matching this topic...

An innovative AI conversation API leveraging Google's Gemini for multimodal understanding. Combines FastAPI, Langchain, and Redis for robust, scalable, and privacy-conscious text and image-based interactions

  • Updated May 20, 2024
  • Python

This GitHub repository contains a Python script that powers a Telegram bot capable of engaging in conversational interactions using Google's GenerativeAI (Bard) and Telebot libraries. The bot responds to various commands and messages from users, providing intelligent and contextually relevant answers.

  • Updated Jun 17, 2024
  • Python

This Discord bot leverages the Anthropic Claude and Google Gemini APIs to deliver dynamic conversational experiences. Powered by Anthropic's advanced Claude models and Google's robust Gemini language models, the bot can respond to user messages, maintain conversation history, and execute various commands.

  • Updated Jun 19, 2024
  • JavaScript

This project builds a custom question answering chatbot using Langchain and Google Gemini Language Model (LLM). It fine-tunes industrial data for accurate responses and integrates Streamlit for user interaction, aiming to enhance user experience.

  • Updated Apr 2, 2024
  • Jupyter Notebook

This repository outlines how you can use Android Studio to build an application that implements Generative AI using the Google AI SDK. It lays out the process in three steps. Before beginning, ensure that you are running the latest preview version of Android Studio.

  • Updated Apr 18, 2024
  • Kotlin

🌟 Mindstride is a RAG-based chat assistant designed to support mental health, personal growth, and self-improvement. This project leverages advanced AI technologies to provide a personalized and insightful experience, drawing from the wisdom of over 70 books on mental well-being, personal development, and self-discovery.

  • Updated Jul 20, 2024
  • Python

A comprehensive comparison of multimodal models - llama3.2-vision, minicpm-v, llava-llama3, llava, llava13:b and closed source models for animal classification tasks. This project evaluates various models' performance in classifying 10 different animal species, ranging from common to rare animals.

  • Updated Dec 10, 2024
  • Jupyter Notebook

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