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

what is Retrieval Augmented Generation (RAG) - a comprehensive introduction

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

Gemini from Google - walkthrough in 10 mins

Stable Vidoe Diffusion - model architecture, training procedure and results (paper fully explained)

Emu from Meta (paper explained)

Mistral 7b - the best 7B model to date (paper explained)

LLaVA - the first instruction following multi-modal model (paper explained)

Autogen tutorial - next-generation LLM agents framework

NExT-GPT: The first Any-to-Any Multimodal LLM

Quantization in Deep Learning (LLMs)

Textbooks Are All You Need - phi-1.5 by Microsoft

LongNet: Scaling Transformers to 1B tokens (paper explained)