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New MEAP! Building LLM Applications with DSPy
Traditional prompts often become brittle as models and data evolve. Building LLM Applications with DSPy by Serj Smorodinsky and Brett Kennedy introduces the DSPy framework, which replaces static text prompts with flexible Python-based contracts that adapt automatically over time. The book shows how DSPy optimizes context, evaluates prompt performance, and adjusts applications as models drift, helping developers maintain reliable results as AI systems grow more complex.
Focused on practical implementation, the book teaches
DSPy best practices for building production-ready AI systems through task design, evaluation, and optimization. Readers build real applications—including classification systems, summarizers, RAG pipelines, and agentic workflows—using DSPy’s modular architecture without hand-writing prompts. Along the way, the authors provide clear guidance, examples, and proven techniques for creating scalable, dependable LLM applications. [Read more]
6 chapters of this new MEAP are available now with more to follow soon!
Rust gives developers the low-level control embedded systems demand, but adds modern guarantees around memory safety, data races, and error handling. In a field where a single bug can cause crashes, security flaws, or costly field failures, those guarantees are a major advantage.
Embedded Software with Rust is a practical introduction to building firmware that is fast, efficient, and far safer than traditional embedded software written in C or C++. The book is designed to support learning step by step
