4:26
The Truth About LLMs: From Billions of Parameters to Self Attention
AINexLayer
5:04
The Limitless Potential and Dark Side of Large Language Models
5:52
Pre-Trained Models Explained: Why You Should Never Build AI From Scratch
5:31
Mastering LLMs: How Fine-Tuning Turns General AI into a Specialist
6:24
The 6-Step Guide to Fine-Tuning LLMs: From Model Selection to Deployment
7:09
7 Strategies for Fine-Tuning LLMs: From Full Training to QLoRA
6:51
Beyond ChatGPT: Mastering the OpenAI Developer Platform & APIs
5:18
The Practical Roadmap to OpenAI Fine-Tuning: Datasets, JSONL, and Costs
4:49
Quantization Explained: How to Fit Giant AI Models on Your Phone
4:35
Unlocking Hugging Face: How to Access Gated Models & Create Tokens
5:27
From Generalist to Grandmaster: Fine-Tuning Llama 3.2 with LoRA & Quantization
5:42
Base vs. Instruct Models: Why Your AI Completes Sentences Instead of Answering Them
