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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.
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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.
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Learn best practices and techniques for writing effective prompts for small language models like Gemma and LLaMA, including evaluation methods and debugging strategies.
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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.
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Discover how training data shapes language models and why domain-specific knowledge compressed into model weights can dramatically improve reasoning in your field.
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Large Language Models don't have opinions — they predict tokens.