
Fine-Tuning Large Language Models on Mac M1: A Step-by-Step Guide
Learn how to fine-tune large language models locally on Mac M1 using Apple's MLX library. This guide walks through the process of customizing an LLM to respond to YouTube comments.
Check out the most recent SEO-optimized Machine Learning articles created from YouTube videos using Scribe.
Learn how to fine-tune large language models locally on Mac M1 using Apple's MLX library. This guide walks through the process of customizing an LLM to respond to YouTube comments.
Explore the latest developments in AI as OpenAI and DeepSeek compete for dominance. Learn about new model releases and their impact on the AI landscape.
Explore how machine learning techniques can be applied to analyze Powerball lottery data. Learn about data cleaning, feature engineering, and model selection for this unique prediction challenge.
Explore the setup and performance of a Mini PC with an external RTX 4090 GPU for running local large language models. Learn about the hardware configuration and initial benchmarks for AI processing.
Mistral AI releases M-Small 3, a powerful 24B parameter language model with open-source weights. This article explores its capabilities and potential impact.
A comprehensive comparison of GPU performance between Apple's M1 Ultra and NVIDIA's RTX 3080 Ti in machine learning tasks. This analysis reveals surprising results and implications for professionals in the field.
Explore the capabilities of Deep Seek R1 and local large language models. Learn how to run AI models locally on your devices for enhanced privacy and offline use.
Explore LoRA (Low-Rank Adaptation) in AI, a technique for creating smaller, more efficient versions of large language models. Learn how LoRA improves AI model efficiency and adaptability.
Exploring the potential for Indian AI startups to build foundational models, despite challenges in competing with established players.