Artículo: AMZ-B0FMQC6PHC

Building a Small Language Model From Scratch: A Practical Guide to Designing, Training, and Deploying Efficient Language Models With Modern Tools (Series on Small Language Models)

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Sin stock
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0.20 kg
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Nuevo
Producto de
Amazon

Sobre este producto
  • Understand what makes a model “small” and why it matters today
  • Tokenization, attention, causal masking, and autoregression—demystified
  • Train a 10M–50M parameter transformer using real datasets and logging
  • Evaluate outputs using perplexity, sampling, and decoding techniques
  • Finetune your SLM with LoRA or PEFT for chatbots, code, or domain-specific tasks
  • Quantize models to 8-bit or 4-bit using bitsandbytes, GPTQ, or AWQ
  • Deploy your model via FastAPI, Docker, or on edge devices like Raspberry Pi
  • Scale up to 1B+ or shrink further into micro-model territory—confidently

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