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    Impact of LLMs on the Tech Stack and Product Development - MLOps Podcast #188

    MLOps.community0.0
    56 minutes
    English
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    Impact of LLMs on the Tech Stack and Product Development - MLOps Podcast #188

    YouTube·MLOps

    Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the impact of Large Language Models (LLMs) on tech stacks and product development in this insightful MLOps podcast episode featuring Anand Das, Co-founder and CTO of Bito. Discover how Anand's team developed the popular "explain code" Chrome extension and expanded it to other platforms. Learn about Anand's extensive background in tech, including his roles at Eyeota, PubMatic, and various engineering positions. Gain valuable insights into model evaluation, AI stacks for code understanding, prompt-driven development, and best practices for prompting and debugging code assistants. Delve into discussions on the cost-benefit analysis of GPU investments and the build vs. buy decision in machine learning. This 56-minute conversation covers a wide range of topics, from Anand's preferred coffee to the complexities of modern tech development, offering a comprehensive look at the evolving landscape of AI-driven software engineering.

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