12 articles
Master HuggingFace Transformers in 2026: sentiment analysis, NER, summarization, embeddings, image classification, and Whisper speech recognition. Production deployment with FastAPI included.
Continue.dev is a free, open-source AI coding extension that lets you connect any LLM — Claude, GPT-4, Ollama, or your own model — directly inside VS Code or JetBrains. This guide covers setup, model configuration, and advanced workflows.
Stable Diffusion is open-source image generation you can run entirely on your own hardware — no API costs, no data leaving your infrastructure. This guide covers local setup with ComfyUI, API serving with diffusers, and LoRA fine-tuning for custom styles.
Complete guide to Chroma DB for local vector embeddings and semantic search — installation, collections, filtering, and LangChain integration. The fastest way to add vector search to your LLM project without an API key.
Learn how to install Ollama and run large language models locally on your own hardware without internet access or API keys. This guide covers installation, model management, Python integration, LangChain setup, custom Modelfiles, and production considerations.
Complete guide to setting up and running Meta's LLaMA 3 models locally and in the cloud. Covers Hugging Face access, Ollama, quantization, chat formatting, fine-tuning with LoRA, and benchmarking for developers and ML engineers.
Master Mistral AI models: setup, usage, quantization, API integration, and fine-tuning. This guide covers every variant from Mistral 7B to Mistral Large, with practical Python code for developers and ML engineers building production LLM applications.
Complete guide to Google's Gemma and Gemma 2 open-source models: setup, chat formatting, quantization, fine-tuning, and production deployment. Covers Gemma 2B through 27B with Python examples for developers and ML engineers.
Comprehensive guide to DeepSeek models including DeepSeek-V3 and DeepSeek-R1 — the Chinese open-source LLMs that rival GPT-4 in reasoning benchmarks. Covers setup, API usage, local deployment, coding with DeepSeek-Coder, and practical Python examples for developers.
Master Together AI — the cloud platform for running 200+ open-source LLMs at production scale. This guide covers setup, chat completions, streaming, embeddings, fine-tuning, custom model deployment, and cost optimization for developers and ML engineers.
Master LoRA and QLoRA for efficient fine-tuning of open-source models like Llama 2, Mistral, and Phi on limited hardware.
Self-hosting LLMs is now practical. Here''s when it makes sense, what hardware you need, and how to deploy at scale.