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68 видео
DALL·E 2 Explained - model architecture, results and comparison
LoRA (Low-rank Adaption of AI Large Language Models) for fine-tuning LLM models
Quantization in Deep Learning (LLMs)
DsPy crash course - optimizing LLM pipelines with DsPy (part 2)
Implementing RAG using
Segment Anything Model (SAM) from Meta AI: model architecture, data engine, results and limitations
RT2 (Robotics Transformer 2) from DeepMind
Self-attention in deep learning (transformers) - Part 1
How ChatGPT is Trained - model and training explained
ConvNeXt: A ConvNet for the 2020s
introduction to Generative AI Models | Generative AI
fine tuning LLMs - the 6 stages
DINOv2 from Meta AI: Data pipeline, model training and results explained
Emu from Meta (paper explained)
Self-Attention in transfomers - Part 2
DsPy Tutorial - optimize your LLM pipelines with DsPy (Part 1)
Build a RAG app using LangFlow +
Kolmogorov-Arnold Networks (KAN) - paper explained (maths, B-splines, experiments and KAN vs MLP)
Claude Agent SDK - complete walkthrough in 12 mins!
GGUF quantization of LLMs with llama cpp
Make your LLMs fully utilize the context (paper explained)
Podcast #3 - Becoming a Kaggle GM + learning AI by OpenSource contribution...
Codex CLI from OpenAI - A complete walkthrough in 10 mins
Qwen2.5 coder - Combines code generation with reasoning to build coding agents!
AI generated faces - StyleGAN explained!
Orca LLM - bridging the gap between ChatGPT and opensource?!
TransCoder: Unsupervised Translation of Programming Languages (paper illustrated)
Introduction to PDF Parsing, challenges and methods (RAG Series)
Positional Encoding and Input Embedding in Transformers - Part 3
Progressive Growing of GANs for Improved Quality | PGGAN (paper illustrated)
Retrieval Augmented Generation (RAG) explained
LLaVA - the first instruction following multi-modal model (paper explained)
ChatGPT Python API - full tutorial and Demo App
Fine tuning GPT-OSS 20b open source model from OpenAI
Get started with HuggingFace Transformers - Pipeline, Custom Pipeline, Tokenizer, Model, Hub
UV - A complete walk-through in 12 mins! | replacement for pip, conda, poetry, etc
Podcast #2 - Learning AI today, Cracking Kaggle Competitions, Java in Data Science ...
crewai crash course - Part 3 | knowledge
Textbooks Are All You Need - phi-1.5 by Microsoft
The new Llama 3.3 vs GPT-4o - full review | Is free Llama 3.3 sufficient?
QLoRA paper explained (Efficient Finetuning of Quantized LLMs)
Simple quantization of LLMs - a hands-on
LLAMA2 model demo - UI options without coding
CrewAI - Crash Course | Tools in CrewAI | Part - 4
Segment Anything 2 (SAM2) from Meta: The next generation of Meta Segment Anything Model for videos
Contrastive Learning of visual representations - SimCLR (paper illustrated)
Chunking in RAG (with hands-on in LangChain and LlamaIndex) - RAG video series
Claude Code - End-to-end hands-on demo | Is it the cheapest software engineer ever?
controlnet paper explained - Adding Conditional Control to Text-to-Image Diffusion Models
XLSTM - Extended LSTMs with sLSTM and mLSTM (paper explained)
LlamaIndex tutorial in less than 15 mins
