Open Source Generative Process Automation (i.e. Generative RPA). AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models

In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

Notes for the course Generative AI With Large Language Models, offered by DeepLearning.AI on Coursera

BabyGPT: Build Your Own GPT Large Language Model from Scratch Pre-Training Generative Transformer Models: Building GPT from Scratch with a Step-by-Step Guide to Generative AI in PyTorch and Python

Generative AI with Large Language Models on Coursera offered by Deeplearning.AI and AWS.

[AAAI 2025] Measuring Human and AI Values Based on Generative Psychometrics with Large Language Models.

Tools, examples, and resources to assist in the development of Gen-AI (Generative Artificial Intelligence) applications in Hebrew, with a particular emphasis on working with Large Language Models (LLMs).

Question Answering Generative AI application with Large Language Models (LLMs) and Amazon OpenSearch Service

This Guidance demonstrates how Amazon Bedrock, with offers a range of large language models (LLMs), can perform generative AI-powered analysis on structured and unstructured data sets to support investment analysts.

This repository contains the lab work for Coursera course on "Generative AI with Large Language Models".

Learn Generative AI with Large Language Models (LLMs)

Open-source Generative AI (GenAI) application designed to provide users with the flexibility and power to work with various open-source large language models (LLMs).

This repo is for the Linkedin Learning course: Generative AI: Working with Large Language Models

Question Answering Generative AI application with Large Language Models (LLMs), Amazon Bedrock, and Amazon MemoryDB for Redis

Question Answering Generative AI application with Large Language Models (LLMs), Amazon Bedrock, and Amazon DocumentDB (with MongoDB Compatibility)

Question Answering Generative AI application with Large Language Models (LLMs) and Amazon OpenSearch Serverless Service

My solutions to the lab assignments in the Generative AI with Large Language Models course offered by Amazon Web Services.

This hands-on workshop will guide you in building Java applications enhanced with AI capabilities by leveraging Generative AI and Large Language Models (LLMs), using Spring Boot and Spring AI.

Question Answering Generative AI application with Large Language Models (LLMs) and Amazon OpenSearch Service

Generative AI with Large Language Models (LLMs) - how generative AI works, and how to deploy it in real-world applications. Coursera link -> https://www.coursera.org/learn/generative-ai-with-llms

Question Answering Generative AI application with Large Language Models (LLMs) and Amazon OpenSearch Service using Haystack

Question Answering Generative AI application with Large Language Models and RAG powered by Amazon Bedrock and Amazon Kendra

A curated collection of practical resources for learning and building Generative AI applications with Large Language Models (LLMs). Perfect for beginners and experts alike, focusing on hands-on development over theory. 🚀

Deeplearning.ai Generative AI with LLMs course

Resource-for-course

Repo hosting resources about generative ai courses, notebooks with a focus on large language models

🚀 End-to-end Medical Chatbot built with Generative AI. This project demonstrates how to combine Large Language Models (LLMs), AWS, LangChain, Pinecone for vector search, and Flask for deployment

Generative AI with Large Language Models

In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.