1582 articles
Generate high-quality text embeddings locally using Sentence Transformers — no API keys, no cost per call. Covers model selection, batch encoding, fine-tuning, and integration with vector databases for production RAG.
Master LLM fine-tuning — when to fine-tune vs prompt engineer, OpenAI fine-tuning API, open-source fine-tuning with Hugging Face, data preparation, and evaluation. A practical guide for production AI teams.
Master LoRA and QLoRA for efficient fine-tuning of large language models on consumer GPUs. Covers rank selection, target modules, quantization, and training LLaMA 3 and Mistral with minimal resources.
Master the Hugging Face Transformers library for loading, running, and fine-tuning LLMs — pipelines, tokenizers, generation config, quantization, and integration with the Model Hub. The definitive Python guide.
Learn how to use the Hugging Face Inference API to run LLMs for free without managing infrastructure. This guide covers setup, authentication, model selection, streaming, error handling, and production tips for developers and AI engineers.