Data Science at Microsoft

Causal analysis overview: Causal inference versus experimentation versus causal discovery

Evaluating LLM-based chatbots: A comprehensive guide to performance metrics

Creating specialized AI models: Fine-tuning GPT-4o mini for a medical assistance model

Understanding identical and independent distribution (IID) in Machine Learning

Blockchain and data science: Forging the future of secure, decentralized systems

GraphRAG vs. traditional RAG: Unveiling Avengers data secrets

Leveraging AI for next-level data productivity in IDEAS (Part 3)

Leveraging AI for next-level data productivity in IDEAS (Part 2)

Leveraging AI for next-level data productivity in IDEAS (Part 1)

The evolution of a data platform: The story of the Microsoft IDEAS team

There’s more than one way to chunk a RAG

Everything you need to know about chunking strategies to…

Exploring quantization in Large Language Models (LLMs): Concepts and techniques

Exploring the potential of Small Language Models

How I built a Superhero Facts RAG QA Bot using LangChain, Qdrant, and OpenAI

Token efficiency with structured output from language models

Code cuisine: Whipping up gourmet menus with AutoGen

From Internet to AI: My experience with GitHub Copilot

How GitHub Copilot transformed my development…

Evaluating RAG capabilities of Small Language Models

Writing technical papers in data science

Congratulations on completing your first technical paper after extensive research and…

Beginner’s guide to causal discovery: The what, the why, and the how

A simple explanation with…

The path to a golden dataset, or how to evaluate your RAG?

Techniques for enhancing OCR accuracy by assessing image sharpness

Using causal inference to measure business impact after program launch

Alternatives for when…