1582 articles
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.
Learn how to use the Groq API to achieve the fastest LLM inference available in 2026 — 500+ tokens per second with sub-second latency. This guide covers setup, model selection, streaming, LangChain integration, rate limits, and building real-time AI applications.
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.
A comprehensive guide to advanced prompt engineering techniques that maximize LLM output quality, covering zero-shot, few-shot, chain-of-thought, and structured prompting patterns. Ideal for developers and AI practitioners building production LLM applications.