MrKyaw

advanced-devops

This git repository contains different files and examples used during the advanced devops course.

Advanced-Machine-Learning-Specialization

Advanced Machine Learning Specialization on Coursera

advanced-machine-learning-specialization-1

Coursera Advanced Machine Learning Specialization by National Research University Higher School of Economics

Advanced-Machine-Learning-Specialization-2

Advanced_RAG

Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 , Agents.

AI-Agentic-Design-Patterns-with-AutoGen

Learn to build and customize multi-agent systems using the AutoGen. The course teaches you to implement complex AI applications through agent collaboration and advanced design patterns.

AI-Agents-in-LangGraph

Master the art of building and enhancing AI agents. Learn to develop flow-based applications, implement agentic search, and incorporate human-in-the-loop systems using LangGraph's powerful components.

aima-data

Data files to accompany the algorithms from Norvig And Russell's "Artificial Intelligence - A Modern Approach"

aima-exercises

Exercises for the book Artificial Intelligence: A Modern Approach

hw-artificial-life

MrKyaw/Advanced_RAG

Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 , Agents.

MrKyaw/AI-Agentic-Design-Patterns-with-AutoGen

Learn to build and customize multi-agent systems using the AutoGen. The course teaches you to implement complex AI applications through agent collaboration and advanced design patterns.

MrKyaw/AI-Agents-in-LangGraph

Master the art of building and enhancing AI agents. Learn to develop flow-based applications, implement agentic search, and incorporate human-in-the-loop systems using LangGraph's powerful components.

MrKyaw/aistudio-copilot-sample

Sample quickstart repo for getting started building an enterprise chat copilot in Azure AI Studio

MrKyaw/building-agentic-rag-with-llamaindex

Learn how to build agents that can reason over their own documents

MrKyaw/Carbon-Aware-Computing

Execute tasks on a point in time with minimal grid carbon intensity

MrKyaw/copilot-prompts

Examples of prompts for Microsoft Copilot

MrKyaw/Efficiently-Serving-LLMs

Learn the ins and outs of efficiently serving Large Language Models (LLMs). Dive into optimization techniques, including KV caching and Low Rank Adapters (LoRA), and gain hands-on experience with Predibase’s LoRAX framework inference server.

MrKyaw/Function-Calling-and-Data-Extraction-with-LLMs

Master the techniques of function-calling and structured data extraction with LLMs. Learn to enhance LLM capabilities, integrate web services, and build practical applications for real-world data usability.

MrKyaw/GAI-Choy

An intelligent coding assistant plugin for Visual Studio Code, empowered by Azure OpenAI (or CodeShell, optionally)

MrKyaw/GenerativeAIExamples

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

MrKyaw/Hands-On-Genetic-Algorithms-with-Python-Second-Edition

Hands-On Genetic Algorithms with Python, Second Edition, published by Packt

MrKyaw/KG_RAG

Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks

MrKyaw/langchain-tutorials

Overview and tutorial of the LangChain Library

MrKyaw/llamafile

Distribute and run LLMs with a single file.

MrKyaw/Mastering-GitHub-Copilot-for-Paired-Programming

An 8 Lesson course teaching everything you need to know about harnessing GitHub Copilot and an AI Paired Programing resource.

MrKyaw/mslearn-copilot-codespaces-python

MrKyaw/Multi-AI-Agent-Systems-with-crewAI

Automate complex business workflows with our Multi-AI-Agent Systems using crewAI. This framework leverages autonomous, role-specific AI agents to collaboratively perform multi-step tasks, enhancing efficiency and accuracy across various domains. Ideal for applications in resume tailoring, website design, research, customer support, and more.

MrKyaw/pair

REPL environment for GPT pair programming

MrKyaw/Preprocessing-Unstructured-Data-for-LLM-Applications

MrKyaw/Prompt-Engineering-for-Vision-Models

Enhance your skills in prompt engineering for vision models. Learn to effectively prompt, fine-tune, and track experiments for models like SAM, OWL-ViT, and Stable Diffusion 2.0 to achieve precise image generation, segmentation, and object detection.

MrKyaw/Quantization-Fundamentals-with-Hugging-Face

Learn linear quantization techniques using the Quanto library and downcasting methods with the Transformers library to compress and optimize generative AI models effectively.

MrKyaw/Quantization-in-Depth

Dive into advanced quantization techniques. Learn to implement and customize linear quantization functions, measure quantization error, and compress model weights using PyTorch for efficient and accessible AI models.

MrKyaw/RAG-Insurance

MrKyaw/redeval

Red-teaming LLM applications.

MrKyaw/skills-code-with-codespaces

My clone repository

MrKyaw/skills-copilot-codespaces-vscode

My clone repository

MrKyaw/smart-factory-computer-vision-inference

How to connect the camera on a Smart Factory to feed a Computer Vision model in order to sync its Digital Twin

MrKyaw/Vehicle-Digital-Twin-Feedback-Loop

In this repository you'll find everything you need to get started in creating a Digital Twin with MongoDB and AWS. More specifically, you'll find code samples and demos using the Realm database with MongoDB Atlas, Device sync and Amazon SageMaker.

MrKyaw/Wind-Turbine-Diagnostics

Using MongoDB Atlas Vector Search to determine issues with wind turbines