chris hay

0:20:30

Multi-Head vs Grouped Query Attention. Claude AI, Llama-3, Gemma are choosing speed over quality?

0:37:12

What is Retrieval Augmented Generation (RAG) and JinaAI?

0:28:35

NVIDIA's Nemotron-4's is totally insane for synthetic data generation

0:26:59

Inside the LLM: Visualizing the Embeddings Layer of Mistral-7B and Gemma-2B

0:43:33

Getting Started with ReAct AI agents work using langchain

0:17:35

Is JavaScriptCore (JSC) really the reason bun.js is so fast? Is V8 that slow? Is JSC the fastest?

0:30:29

HuggingFace Fundamentals with LLM's such as TInyLlama and Mistral 7B

0:39:51

The future of AI agents is WebAssembly (get started now)

0:03:13

AHORA DICES QUE ME AMAS BY CHRIS OTERO

0:33:36

How the Gemma/Gemini Tokenizer Works - Gemma/Gemini vs GPT-4 vs Mistral

0:40:55

superduperdb supercharges your database for AI

0:21:33

Creating ReAct AI Agents with Mistral-7B/Mixtral and Ollama using Recipes I Chris Hay

0:22:49

Understanding STaR and how it powers Claude and Gemini/Gemma 2 (and maybe OpenAI Q* or Strawberry)

0:02:10

No te pierdas al hijo de Elsa Pataky y Chris Hemsworth hablando español

0:00:09

Chris Hay Goal - Huddersfield vs Swindon 98/99

0:04:46

Chris Hayes Breaks Down the $95 Billion Foreign Aid Package for Ukraine and Israel

0:00:48

Multi-Head Attention vs Group Query Attention in AI Models

0:06:46

Mistral-7B: Text Classification Thoroughbred or Doddling Donkey?

0:04:41

All the Reasons Why

0:00:36

Newly shed Woma Python looking pretty - with Chris Hay

0:27:18

fine tuning llama-2 to code

0:01:41

Chris Hay

0:00:28

Chris Hay, Managing Director, Centaur Robotics

0:00:47

Why NVidia's Nemotron is not for chat usage