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Beyond Chat: Phoenix Tests, Ruby Agents & the AI Tipping Point

The Ruby AI Podcast

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Navigating Challenges with Large Language Models

This chapter examines the difficulties of utilizing large language models (LLMs) in coding tasks, particularly when context is overly broad. The discussion includes strategies for improving adaptability in LLMs and highlights the rapid evolution of AI tools, alongside the importance of flexible coding practices. Additionally, it explores the Ruby programming ecosystem and the need for effective integration of AI technologies within existing frameworks.

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