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Articole: 6
  1. A walk through the major families of AI models — what they do, how they work, and what it takes to train them — for people who want intuition, not a textbook.

  2. Learn how to use the waitForTaskToken callback pattern in AWS Step Functions to pause workflows without compute charges, achieving 98% cost savings on long-running async operations.

  3. Learn best practices and techniques for writing effective prompts for small language models like Gemma and LLaMA, including evaluation methods and debugging strategies.

  4. Discover how few-shot prompting works in AI by giving models just a handful of examples - and why this mirrors exactly how humans learn through pattern recognition and context.

  5. Discover how training data shapes language models and why domain-specific knowledge compressed into model weights can dramatically improve reasoning in your field.

  6. Large Language Models don't have opinions — they predict tokens.