6 articles
Fine-tune Llama, Mistral, or any open-source LLM on custom data in 2026 using QLoRA and HuggingFace. Train a 7B model on a single GPU for under $5 with step-by-step code and deployment to HuggingFace Hub.
Master HuggingFace Transformers in 2026: sentiment analysis, NER, summarization, embeddings, image classification, and Whisper speech recognition. Production deployment with FastAPI included.
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 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.