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Small Language NLP for Developers|Aaron Blake

Small Language NLP for Developers : Step-by-Step Techniques for Tiny Transformers, Fast Inference, and Agentic AI Pipelines

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Overview

Are you tired of sluggish AI models that rely on the cloud and heavy GPUs? Small Language NLP for Developers is your hands-on guide to building lightweight, low-latency NLP models that run efficiently on your laptop, Raspberry Pi, or mobile device.
Inside, Aaron Blake walks you step-by-step through:

  • Quantization & Benchmarking: Deploy 8-bit and 4-bit models for sub-100ms inference
  • Model Compression: Use structured/unstructured pruning and LoRA/QLoRA adapters
  • On-Device Deployment: Docker, Python pipelines, and CPU-only setups
  • LangChain & llama-cpp-python Integration: Build agentic workflows and conversational pipelines
  • CI/CD Automation: Convert, test, and release production-ready models
Each chapter delivers real-world examples and ready-to-run code, guiding you from environment setup to fully functioning NLP pipelines.
Transform your AI projects with fast, efficient, and private NLP models-no cloud required.
Perfect for developers, ML engineers, and AI enthusiasts looking to run powerful AI locally.

This item is Non-Returnable

Details

  • ISBN-13: 9798274878623
  • ISBN-10: 9798274878623
  • Publisher: Independently Published
  • Publish Date: November 2025
  • Dimensions: 10 x 7 x 0.37 inches
  • Shipping Weight: 0.68 pounds
  • Page Count: 172

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