From Weights to Wisdom: The Complete Guide to Running and Adapting Opensource AI Models [Print Replica] Kindle Edition

You downloaded a model from HuggingFace. Now what?Open-source AI models like Llama, Mistral, and Mixtral have made state-of-the-art language models accessible to everyone. But downloading model weights is the easy part. The hard part is turning those raw parameters into something that actually works for your specific use case -- reliably, efficiently, and at production scale.From Weights to Wisdom is the complete, practitioner-focused guide to running, serving, fine-tuning, and deploying open-source AI models. Written for ML engineers, software developers, and technical leaders who want to go beyond API calls and take full control of their AI infrastructure.What you'll learn:- Run your first model in 5 minutes with Ollama, then understand every layer of the inference stack- Master model formats (SafeTensors, GGUF, ONNX), quantization (GPTQ, AWQ, INT4/INT8), and memory optimization- Deploy production inference servers with vLLM, TGI, and TensorRT-LLM -- with Docker, load balancing, and monitoring- Fine-tune models on your domain data using LoRA, with complete pipelines for data preparation, training, and evaluation- Apply preference alignment with DPO and RLHF to shape model behavior- Generate synthetic training data, distill large models into efficient small ones, and merge specialized adapters- Benchmark rigorously with TTFT, TPS, latency percentiles, and cost-per-token analysisEvery chapter includes: Hands-on exercises with complete, runnable Python code. Real production patterns (not toy examples). Pitfalls and gotchas from actual deployment experience. A companion GitHub repository with all code listings organized by chapter.Covering 23 chapters across 4 parts, this book takes you from your first model download to a production-deployed, domain-specialized AI system -- on your own hardware, under your own control.Perfect for: ML engineers, backend developers, DevOps/MLOps professionals, technical leads evaluating self-hosted AI, and anyone who wants to understand what happens between downloading a model and deploying it in production.Includes: Companion GitHub repository with all exercise code at github.com/Krishnamoney/From_Weights_to_Wisdom Read more