Deploying a Single Page Application with AI Integration for General Queries using Bedrock
-
Updated
Sep 15, 2024 - Python
Deploying a Single Page Application with AI Integration for General Queries using Bedrock
Cognitive CORE is an advanced template for building systems towards achieving Artificial General Intelligence (AGI). It stands for Comprehension, Orchestration, Reasoning, and Evaluation — the four pillars that provide a modular and scalable foundation for autonomous task execution and decision-making using natural language inputs.
End to End Large Language Model projects using Gemini pro API for test and Gemini pro vision for Test and Images and Streamlit
This Streamlit application allows users to upload a PDF document and ask questions about its content using an AI model. The application utilizes the Groq API and the LLaMA model from Hugging Face to provide answers based on the extracted text from the PDF.
LectureSummarizer is an AI-powered website that transcribes and summarizes lectures. It uses OpenAI Whisper for accurate speech-to-text and Llama 2 for concise summaries. With an easy-to-use Gradio interface, it helps students capture and review key lecture points efficiently.
Add a description, image, and links to the generative-ai-projects topic page so that developers can more easily learn about it.
To associate your repository with the generative-ai-projects topic, visit your repo's landing page and select "manage topics."