- A catalog of experiments with LLMs, including: - Fine-tuning Gemma, Mistral, and Llama3 - Quantization of LLMs into AWQ and GGUF formats - Generating synthetic datasets for fine-tuning LLMs - A unique project exploring the capabilities of Language Models (LLMs) in capturing the speaking style of popular YouTubers. - The primary objective is to understand how well LLMs can emulate the tone, pacing, and content style of specific YouTube channels by fine-tuning them on curated datasets.