Episode 33: What We Learned Teaching LLMs to 1,000s of Data Scientists episode artwork

EPISODE · Aug 12, 2024 · 1H 25M

Episode 33: What We Learned Teaching LLMs to 1,000s of Data Scientists

from Vanishing Gradients · host Hugo Bowne-Anderson

Hugo speaks with Dan Becker and Hamel Husain, two veterans in the world of data science, machine learning, and AI education. Collectively, they’ve worked at Google, DataRobot, Airbnb, Github (where Hamel built out the precursor to copilot and more) and they both currently work as independent LLM and Generative AI consultants.Dan and Hamel recently taught a course on fine-tuning large language models that evolved into a full-fledged conference, attracting over 2,000 participants. This experience gave them unique insights into the current state and future of AI education and application.In this episode, we dive into:* The evolution of their course from fine-tuning to a comprehensive AI conference* The unexpected challenges and insights gained from teaching LLMs to data scientists* The current state of AI tooling and accessibility compared to a decade ago* The role of playful experimentation in driving innovation in the field* Thoughts on the economic impact and ROI of generative AI in various industries* The importance of proper evaluation in machine learning projects* Future predictions for AI education and application in the next five years* We also touch on the challenges of using AI tools effectively, the potential for AI in physical world applications, and the need for a more nuanced understanding of AI capabilities in the workplace.During our conversation, Dan mentions an exciting project he's been working on, which we couldn't showcase live due to technical difficulties. However, I've included a link to a video demonstration in the show notes that you won't want to miss. In this demo, Dan showcases his innovative AI-powered 3D modeling tool that allows users to create 3D printable objects simply by describing them in natural language.LINKSThe livestream on YouTube (https://youtube.com/live/hDmnwtjktsc?feature=share)Educational resources from Dan and Hamel's LLM course (https://parlance-labs.com/education/)Upwork Study Finds Employee Workloads Rising Despite Increased C-Suite Investment in Artificial Intelligence (https://investors.upwork.com/news-releases/news-release-details/upwork-study-finds-employee-workloads-rising-despite-increased-c)Episode 29: Lessons from a Year of Building with LLMs (Part 1) (https://vanishinggradients.fireside.fm/29)Episode 30: Lessons from a Year of Building with LLMs (Part 2) (https://vanishinggradients.fireside.fm/30)Dan's demo: Creating Physical Products with Generative AI (https://youtu.be/U5J5RUOuMkI?si=_7cYLYOU1iwweQeO)Build Great AI, Dan's boutique consulting firm helping clients be successful with large language models (https://buildgreat.ai/)Parlance Labs, Hamel's Practical consulting that improves your AI (https://parlance-labs.com/)Hamel on Twitter (https://x.com/HamelHusain)Dan on Twitter (https://x.com/dan_s_becker)Vanishing Gradients on Twitter (https://twitter.com/vanishingdata)Hugo on Twitter (https://twitter.com/hugobowne) Get full access to Vanishing Gradients at hugobowne.substack.com/subscribe

NOW PLAYING

Episode 33: What We Learned Teaching LLMs to 1,000s of Data Scientists

0:00 1:25:11

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

Vanishing Postcards Evan Stern Vanishing Postcards is a documentary travelogue that invites listeners on a road trip exploring the hidden dives, traditions, and frequently threatened histories discovered by exiting the interstates. Named one of the Best Podcasts of 2022 by Digital Trends. True Crime Mystery Hour Anthony Okoye True Crime Mystery Hour, Unraveling the Darkest Mysteries, One Case at a Time.Step into the shadowy world of True Crime Mystery Hour, where unsolved cases, chilling disappearances, and criminal enigmas take center stage. Each episode delves deep into the most baffling mysteries, cold cases, and infamous crimes that have captivated investigators and the public. From notorious serial killers to mysterious vanishing acts, we explore every twist, turn, and hidden clue. Please tune in for a gripping journey through the unknown as we seek to uncover the truth behind some of the darkest stories ever told. Prepare for suspense, intrigue, and a deep dive into the macabre. Most Terrifying Places in America Travel Channel On ‘The Most Terrifying Places in America’, hear real about ghost stories at America's most-famous haunted landmarks. With direct audio from the TV show, a team of ghost hunters, psychic mediums and historians take you around the U.S. to find out why these paranormal hot spots deserve their reputation.Also, go back and listen to episodes of These Woods Are Haunted and The Alaska Triangle. On These Woods Are Haunted, hear true accounts of people who ventured deep into the forest only to come screaming out with stories that defy reality. And on The Alaska Triangle, hear how experts and eyewitnesses attempt to unlock the mystery of the Alaska Triangle, a remote area infamous for alien abductions, Bigfoot sightings, paranormal phenomena and vanishing airplanes. Hosted on Acast. See acast.com/privacy for more information. The Insider Vanishing Inc. Magic Vanishing Inc. is proud to share with you our magic podcast, The Insider. Interviews with the finest magicians in the world.

Frequently Asked Questions

How long is this episode of Vanishing Gradients?

This episode is 1 hour and 25 minutes long.

When was this Vanishing Gradients episode published?

This episode was published on August 12, 2024.

What is this episode about?

Hugo speaks with Dan Becker and Hamel Husain, two veterans in the world of data science, machine learning, and AI education. Collectively, they’ve worked at Google, DataRobot, Airbnb, Github (where Hamel built out the precursor to copilot and more)...

Can I download this Vanishing Gradients episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
URL copied to clipboard!