MrKyaw
I'm Kyaw , a Senior Solution Architect from Capgemini. I am currently leading a AILLMOps\Data Science Team. I have 20 years plus (total)\10 years plus(AISDS).
Pinned Repositories
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's Repositories
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