Introduction to PDF Parsing, challenges and methods (RAG Series)

Segment Anything 2 (SAM2) from Meta: The next generation of Meta Segment Anything Model for videos

Chunking in RAG (Retrieval Augmented Generation) with hands-on in LangChain and LlamaIndex

Claude3.5 Sonnet vs GPT4o (ChatGPT) - an honest review

Kolmogorov-Arnold Networks (KAN) - paper explained (maths, B-splines, experiments and KAN vs MLP)

XLSTM - Extended LSTMs with sLSTM and mLSTM (paper explained)

Make your LLMs fully utilize the context (paper explained)

Podcast #3 - Becoming a Kaggle GM + learning AI by OpenSource contribution...

Build a RAG app using LangFlow + @streamlitofficial with minimal coding | LangFlow crash course

Podcast #2 - Learning AI today, Cracking Kaggle Competitions, Java in Data Science ...

DsPy crash course - optimizing LLM pipelines with DsPy (part 2)

DsPy crash course - optimize your LLM pipelines with DsPy (Part 1)

Implementing RAG using @LangChain and ChromaDB. Chat with your emails with this pipeline!

GGUF quantization of LLMs with llama cpp

Simple quantization of LLMs - a hands-on

From MSc to Google Research - Songyou Peng (Episode #1 AI Bites Show)

Fine-tuning LLMs with PEFT and LoRA - Gemma model & HuggingFace dataset

fine tuning LLMs - the 6 stages

Intro to RAG (Retrieval Augmented Generation) - Augment AI models with external memory

Get started with HuggingFace Transformers - Pipeline, Custom Pipeline, Tokenizer, Model, Hub

lumiere from google - A Space-Time Diffusion Model for Video Generation

Learn ML in 2024 - YouTube roadmap (100% free)

controlnet paper explained - Adding Conditional Control to Text-to-Image Diffusion Models

QLoRA paper explained (Efficient Finetuning of Quantized LLMs)

Low-Rank Adaptation - LoRA explained