Don't miss this mind-blowing episode with Jason Warner, who compellingly argues that code-specialized LLMs will bring about AGI. His firm, poolside, was launched to achieve this and facilitate an "AI-led, developer-assisted" coding paradigm en route.
Jason:
• Is Co-Founder and CEO of poolside, a hot venture capital-backed startup that will shortly be launching its code-specialized Large Language Model and accompanying interface that is designed specifically for people who code like software developers and data scientists.
• Previously was Managing Director at the renowned Bay-Area VC Redpoint Ventures.
• Before that, held a series of senior software-leadership roles at major tech companies including being CTO of GitHub and overseeing the Product Engineering of Ubuntu.
• Holds a degree in computer science from Penn State University and a Master's in CS from Rensselaer Polytechnic Institute.
Today’s episode should be fascinating to anyone keen to stay abreast of the state of the art in A.I. today and what could happen in the coming years.
In today’s episode, Jason details:
• Why a code-generation-specialized LLM like poolside’s will be far more valuable to humans who code than generalized LLMs like GPT-4 or Gemini.
• Why he thinks AGI itself will be brought about by a code-specialized ML model like poolside’s.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.
Filtering by Tag: software development
Blend Any Programming Languages in Your ML Workflows, with Dr. Greg Michaelson
The revolutionary Zerve IDE for data science launches today! Zerve gives ML teams a unified space to collaborate, build and deploy projects... and is free for most use-cases! In today's episode, Zerve co-founder Dr Greg Michaelson explains all the details.
Greg is a super-insightful, crisp and clear communicator; I think you'll really enjoy our conversation. More on him:
• He's Co-Founder and Chief Product Officer of Zerve, which just raised $3.8m in pre-seed funding.
• Previously spent 7 years as DataRobot’s Chief Customer Officer and 4 years as Senior Director of Analytics & Research for Travelers.
• Was a baptist pastor while he obtained his PhD in Applied Statistics from The University of Alabama — that perhaps explains some of the variance in how he’s such a silver-tongued communicator!
Today’s episode will appeal most to hands-on practitioners like data scientists, machine learning engineers and software developers, but may also be of interest to anyone who wants to stay on top of the latest approaches to developing and deploying ML models.
In this episode, Greg details:
• Why his swish new Zerve IDE is so sorely needed.
• How their open-source Pypelines project uniquely generates Python code for Automated Machine Learning.
• Why AutoML is not suitable to most commercial use cases.
• Why most commercial A.I. projects fail and how to ensure they succeed.
• The straightforward way you can develop speaking skills as slick as his.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.