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Embracing New Practices

The conversation highlights the shift in mindset necessary for adopting new technologies, particularly large language models. Traditional QA processes may not apply, leading to confusion among teams accustomed to standard practices. However, there's a growing recognition at the executive level that experimentation and adaptability are crucial for success in this evolving landscape.
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    Software Engineering Radio - the podcast for professional software developers

    SE Radio 610: Phillip Carter on Observability for Large Language Models

  • Related Questions

    • What problems do developers face when building AI applications as discussed in the episode SE Radio 610: Phillip Carter on Observability for Large Language Models and the clip Embracing New Practices?

    • How will large language models (LLMs) and AI change software engineering and the software development lifecycle (SDLC) as discussed in the episode Shreya Rajpal: Guardrails AI, AI Production Challenges, & AI Reliability | Around the Prompt #9 and the clip AI Validation Insights?

    • How will large language models (LLMs) and AI change software engineering and the software development lifecycle (SDLC) as discussed in the episode Shreya Rajpal: Guardrails AI, AI Production Challenges, & AI Reliability | Around the Prompt #9?

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