Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
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Updated
May 24, 2024 - Jupyter Notebook
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
Genify is a powerful and versatile API that leverages advanced language models, including Google's Gemini 1.5 Pro, LLAMA 3 and other cutting-edge technologies, to deliver a wide range of natural language processing capabilities
Full stack application built with ASP.NET Core 8 and Next.js with TypeScript and TailwindCSS. The application is a chat bot powered by PaLM 2.
Welcome to Google Palm Ai, a web application for generating human-like text responses with Google Palm Ai Model. Google Palm Ai is built with React and NextUI for a seamless user experience.
Raku package for functions and function objects to access, interact, and utilize LLMs.
News Analyzer is a Python-based project designed to analyze news articles and provide insights into their potential impact on Sri Lankan citizens.
Fast API - Grammar rewriter
GenAI harnesses the power of advanced models like GPT-4 and Gemini Pro to serve as versatile coding and writing assistants for users in both R and, soon, Python. This toolbox empowers users with a range of capabilities, including text generation, code optimization, natural language processing, chat assistance, and image interpretation.
Transformers 3rd Edition
AI chatbot, Lecture Summarizer, Essay Writer and Questions Generator.
Evaluation of Large Language Models on Code Obfuscation
Raku package for finding sub-strings in a given text that appear to answer given questions.
An API for Chat Fine-Tuned Large Language Models (llm)
LLM Training Data Sets for Dissimiliar Medical Question Pairs
Workshop content to dive into the world of graph databases by harnessing the power of natural language processing (NLP), and building intelligent applications that understand and respond to human queries
[📚] Google Vertex AI explore: PaLM 2 + Foundation models
A Q&A chatbot which can answer the question based on dataset given. Can be concept can be used for business purpose to help client understand the services we provide.
Smoothly Manage Multiple LLMs (OpenAI, Anthropic, Azure) and Image Models (Dall-E, SDXL), Speed Up Responses, and Ensure Non-Stop Reliability.
Reference architecture for LLM-based applications on Google Cloud Platform with Redis Enterprise as a high-performance data layer.
AI project for my sexbot
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