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Offline vs. online ML pipelines
Architecting a dataset generation feature pipeline
Join 39,000+ AI researchers, enthusiasts, and practitioners reading distilled insights on large language models, agents, and breakthroughs — every week. The book cuts through the complexity and offers actionable guidance on deploying and fine-tuning pre-trained language models with Python. Summarization → We use a more powerful LLM (e.g., gpt-4o) to generate multiple summaries per document by varying temperature and sampling parameters (a process known as distillation)
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