// Abstract
In this talk, we explore the thriving ecosystem of tools and technologies emerging around large language models (LLMs) such as GPT-3. As the LLM landscape enters the "Holy $#@!" phase of exponential growth, a surge of developers is building remarkable product experiences on top of these models, giving rise to a rich collection of DevTools. We delve into the current state of LLM DevTools, their significance, and future prospects.
We also examine the challenges and opportunities involved in building intelligent features using LLMs, discussing the role of experimentation, prompting, knowledge retrieval, and vector databases. Moreover, we consider the next set of challenges faced by teams looking to scale their LLM features, such as data labeling, fine-tuning, monitoring, observability, and testing.
Drawing parallels with previous waves of machine learning DevTools, we predict the trajectory of this rapidly maturing market and the potential impact on the broader AI landscape. Join us in this exciting discussion to learn about the future of AI-driven applications and the tools that will enable their success.
// Bio
Diego Oppenheimer is an entrepreneur, product developer, and investor with an extensive background in all things data. Currently, he is a Partner at Factory a venture fund specialized in AI investments as well as interim head of product at two LLM startups. Previously he was an executive vice president at DataRobot, Founder, and CEO at Algorithmia (acquired by DataRobot), and shipped some of Microsoft’s most used data analysis products including Excel, PowerBI, and SQL Server.
Diego is active in AI/ML communities as a founding member and strategic advisor for the AI Infrastructure Alliance and MLops.Community and works with leaders to define ML industry standards and best practices. Diego holds a Bachelor's degree in Information Systems and a Master's degree in Business Intelligence and Data Analytics from Carnegie Mellon University
Негізгі бет Ғылым және технология DevTools for Language Models: Unlocking the Future of AI-Driven Applications // Diego Oppenheimer
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