Abhishek Thakur Courses

PyTorch 101 - An Applied Tutorial

Discover PyTorch fundamentals through hands-on examples covering tensors, autograd, datasets, dataloaders, and building neural networks for NLP and computer vision applications.

• YouTube
• 1 hour 49 minutes
• Self-Paced
• Free Video

Applied Machine Learning Framework

Master building a comprehensive ML framework from cross-validation to categorical features, binary classification metrics, and entity embeddings for real-world applications.

• YouTube
• 5 hours 22 minutes
• Self-Paced
• Free Video

All About Evaluations with Hamel Husain

Discover evaluation techniques and best practices for machine learning models with expert insights from Hamel Husain in this comprehensive 32-minute discussion.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Everything About MLX

Discover MLX fundamentals and applications with expert Prince Canuma in this comprehensive 46-minute deep dive into Apple's machine learning framework.

• YouTube
• 46 minutes
• Self-Paced
• Free Video

Vibe Coding a Search UI with FastAPI and Vespa

Build a modern search interface using FastAPI, HTML/CSS/JavaScript, and PyVespa to create a responsive UI that queries 250K+ documents locally with millisecond performance.

• YouTube
• 10 minutes
• Self-Paced
• Free Video

Faster, Smaller, Smarter - How Liquid AI Is Redefining LLM Efficiency

Discover how Liquid AI revolutionizes small language models through hybrid architectures, neural search, and efficient training methods for local deployment on consumer hardware.

• YouTube
• 50 minutes
• Self-Paced
• Free Video

A No-Nonsense Introduction to BM25

Discover BM25, the ranking algorithm powering search engines. Learn term frequency, inverse document frequency, document length effects, and key parameters k₁ and b for better search performance.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

Build Your Own Hybrid Search - BM25 and Vector Embeddings with Reciprocal Rank Fusion

Discover how to upgrade a BM25 search engine into a hybrid system combining BM25 with vector embeddings using reciprocal rank fusion for enhanced semantic search capabilities.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Building a Real Search Engine - BM25 Implementation with Vespa and Python - Part 1

Discover how to build a BM25 keyword search engine using Vespa and Python, covering schema definition, Docker setup, dataset streaming, and query implementation in 25 minutes.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Build Your Own RAG Without Code

Discover how to create an advanced scalable RAG system using NyRAG without writing any code in this 13-minute tutorial by Abhishek Thakur.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

Deep Learning for Survival Analysis

Explore deep learning models for survival analysis, applying them to predict time-to-event outcomes in various fields like credit, machinery, and healthcare with Louise Ferbach.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

BYOB - Build Your Own Bot

Learn to build conversational agents with frameworks, NLP techniques, and best practices. Explore intent recognition, dialogue management, and generative models while avoiding common pitfalls in chatbot development.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Understanding BigBird - Transformers for Longer Sequences

Explore BigBird's block sparse attention for long sequences, comparing it with BERT and Longformer. Learn implementation, complexity, use cases, and performance optimization tips.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

DALL-E Mini - Generate Images From a Text Prompt

Learn about DALL·E mini, a smaller version of OpenAI's DALL·E that generates images from text prompts. Explore its architecture, training process, and capabilities in this comprehensive overview.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

What Are Decision Trees and How Do They Work - From Scratch

Comprehensive guide to decision trees in machine learning, covering basics, implementation, and advanced concepts using real-world examples and scikit-learn comparisons.

• YouTube
• 50 minutes
• Self-Paced
• Free Video