chris demonstrates the issues of bias in diversity models in small and large language models such as chatgpt and llama-2. chris shows a transformers based ai model that he built from scratch and the effect of non diverse data
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what’s underneath the mystery gemini 2 models?
I built an AI Math Compiler that emits synthetic datasets rather than code
Understanding STaR and how it powers Claude and Gemini/Gemma 2 (and maybe OpenAI Q* or Strawberry)
Why NVidia's Nemotron is not for chat usage
NVidia Nemotron 340B is the model to use for synthetic data generation
Multi-Head Attention vs Group Query Attention in AI Models
Multi-Head vs Grouped Query Attention. Claude AI, Llama-3, Gemma are choosing speed over quality?
NVIDIA's Nemotron-4's is totally insane for synthetic data generation
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Creating ReAct AI Agents with Mistral-7B/Mixtral and Ollama using Recipes I Chris Hay
Fine-Tune Llama3 using Synthetic Data
why llama-3-8B is 8 billion parameters instead of 7?
Getting Started with ReAct AI agents work using langchain
Inside the LLM: Visualizing the Embeddings Layer of Mistral-7B and Gemma-2B
How the Gemma/Gemini Tokenizer Works - Gemma/Gemini vs GPT-4 vs Mistral
HuggingFace Fundamentals with LLM's such as TInyLlama and Mistral 7B
Getting Started with OLLAMA - the docker of ai!!!
how the tokenizer for gpt-4 (tiktoken) works and why it can't reverse strings
SHOCKED at how my AI Language model learned to reverse a string #gpt #aigpt #llm #shorts
Natural Language Processing (NLP) is still a thing
ai bias in LLM's explained in a small language model built from scratch