AI Bites Courses

Segment Anything 2 (SAM2) - Video Segmentation Model Overview and Architecture

Dive into Meta's SAM2 technology, exploring how this advanced model extends image segmentation capabilities to videos through memory encoding, attention mechanisms, and the groundbreaking SA-V dataset.

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

Chunking Strategies for Retrieval Augmented Generation (RAG) with LangChain and LlamaIndex

Master text chunking techniques for RAG systems using LangChain and LlamaIndex, covering fixed-size, recursive, document, and semantic approaches to optimize LLM performance.

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

XLSTM: Understanding Extended LSTMs with sLSTM and mLSTM Architecture

Delve into the evolution of LSTM networks, exploring how XLSTM's innovative sLSTM and mLSTM components enable parallel processing and compete with transformers in sequence-related tasks.

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

Making LLMs Fully Utilize Context - A Data-Driven Approach

Discover how to enhance LLM context utilization through Microsoft's data-driven approach, exploring information-intensive training methods and practical solutions for improved context awareness and reasoning capabilities.

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

Optimizing LLM Pipelines with DsPy - Part 2

Dive into optimizing LLM pipelines by implementing multi-hop question-answering with DsPy framework, featuring Baleen pipeline and Bootstrap Few Shot algorithm optimization techniques.

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

Introduction to DsPy Framework and Building Blocks - Part 1

Discover the fundamentals of DsPy framework for optimizing LLM pipelines, exploring its core components and how it differs from LangChain and LlamaIndex in this introductory guide.

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

Building a RAG Pipeline with LangChain and ChromaDB for Email-Based Chat Applications

Master practical RAG implementation with LangChain and ChromaDB to build an intelligent email-based chatbot system using vector stores, text splitters, and LLM integration.

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

GGUF Quantization of Large Language Models Using LLAMA.cpp

Master GGUF quantization techniques to run large language models efficiently on personal devices using LLAMA.cpp, enabling GPU-free inference and deployment on laptops, phones, and watches.

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

Simple Quantization of LLMs - A Hands-on Guide to Absolute Max and Zero Point Methods

Master practical LLM quantization techniques through hands-on implementation of Absolute Max and Zero Point methods, building foundational skills for advanced approaches like GPTQ and AWQ.

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

Getting Started with HuggingFace Transformers - Pipeline, Tokenizer, and Model Development

Master HuggingFace Transformers library fundamentals, from pipelines and tokenizers to models and Hub integration, enabling you to effectively work with and fine-tune Large Language Models.

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

Lumiere: Space-Time Diffusion Model for Text-to-Video Generation

Dive into Google's Lumiere text-to-video model, exploring its innovative space-time UNet architecture and MultiDiffusion design for creating temporally consistent video generation.

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

Machine Learning Career Roadmap 2024 - From Beginner to Expert

Discover a comprehensive YouTube learning path for mastering Machine Learning and AI, from mathematical foundations to specialized areas like NLP and Computer Vision - all through free resources.

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

ControlNet: Adding Conditional Control to Text-to-Image Diffusion Models

Delve into the groundbreaking ControlNet paper, exploring its architecture, classifier-free guidance, and spatial control capabilities in text-to-image diffusion models through detailed technical explanations.

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

LoRA: Low-Rank Adaptation for Parameter-Efficient Large Language Model Fine-Tuning

Discover how LoRA enables efficient fine-tuning of large language models through low-rank adaptation, from fundamental concepts to practical implementation in transformer architectures.

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

Stable Video Diffusion: Model Architecture and Training Pipeline

Dive into the technical architecture and training methodology of Stable Video Diffusion, exploring its three-stage process, data curation pipeline, and practical applications in AI-powered video generation.

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