
Replit AI Podcast
Hear from leading experts in AI as they discuss the future of software development.
Latest episodes

9 snips
Jul 26, 2023 • 1h 1min
04: Replit x Bard with Paige Bailey
This week features Paige Bailey, Product Lead for Generative Models at Google DeepMind, who has an impressive background leading AI efforts at Alphabet, GitHub, and Microsoft. She discusses the groundbreaking partnership between Replit and Google, focusing on how tools like Bard and Ghostwriter are reshaping the coding landscape. Topics include tackling remote work challenges for junior engineers, the power of open-source AI in democratizing tech, and the exciting potential of AI in creating personalized user experiences. The future of coding has never looked brighter!

10 snips
Jun 29, 2023 • 60min
03: The Next Generation of LLMs with Jonathan Frankle of MosaicML
In this installment of Replit’s AI series, MosaicML’s Chief Scientist, Jonathan Frankle, will be joining Replit’s CEO, Amjad Masad, and VP of AI, Michele Catasta, to discuss the not-so-distant future of LLMs. We’ll cover open-sourcing LLMs such as Replit’s, MosaicML’s transformer-based language models, and more.
Prefer video? Watch the livestream!

8 snips
May 24, 2023 • 59min
02: Unleashing LLMs in Production: Challenges and Opportunities with Chip Huyen
In this second installment of AI panels at Replit, Michele, Chip, and Amjad discuss putting Large Language Models (LLMs) into production. The challenges and opportunities offered by LLMs are considered, as well as their potential impact on the industry.
Prefer video? Watch the livestream!

16 snips
Mar 22, 2023 • 1h 16min
01: Applications of Generative AI with NVIDIA's Jim Fan
Jim Fan, a research scientist at NVIDIA with a PhD from Stanford, dives into the fascinating world of generative AI. He discusses the groundbreaking advancements from the recent NVIDIA GTC event and the transformative power of multimodal technology. The conversation highlights how AI alignment with human values enhances ethical standards and explores the complexities of utilizing generative AI in coding. Lastly, Jim reflects on AI's potential to revolutionize software development, emphasizing the shift towards collaboration and communication skills.
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