Generative AI: Best Practices from Top Companies on GenAI Production Deployment with Lukas Biewald
Description
In this episode, Lukas Biewald, the founder and CEO of Weights & Biases, one of the goto platforms for machine learning, joins us to discuss Best Practices for GenAI in Production.
Prior to founding Weights & Biases, Lukas co-founded Figure Eight (formerly CrowdFlower), a pioneer in the ML data-labeling space that was subsequently acquired by Appen in 2019.
This discussion will focus on the best practices for integrating GenAI into production, with a particular focus on the importance of robust evaluation frameworks and key metrics for tracking performance.
Lukas will also share insights on using Weights & Biases and the newest platform, Weave, for model evaluation and strategies for effective model monitoring.
Last, but not least, he'll touch on the non-deterministic nature of GenAI models, share his perspective on the current AI landscape, and share advice on running a startup.
SHOW NOTES
Learn more about the platforms:
Weave: https://wandb.github.io/weave/
Weights and Bias: https://github.com/wandb
Blog: https://wandb.ai/fully-connected
Listen to Lukas’ Podcast: https://podcasts.apple.com/us/podcast/gradient-dissent-conversations-on-ai/id1504567418
Learn more about the Guardrails project:
https://github.com/outlines-dev/outlines
https://github.com/guardrails-ai/guardrails
Learn more about Edward Rutherfurd’s Books:
https://www.edwardrutherfurd.com/edward-rutherfurd-books.html
Topics:
1. Introduction
2. Tell us about your journey
Best practices for getting GenAI into Production
– Set the context. Tell us about WandB
– What are some of the best practices for getting into GenAI right now?
– How are companies handling model evaluation?
– Tell us about Weave
– What about model monitoring?
– How are companies handling the non-deterministic nature of GenAI models?
– What part of GenAI is overhyped?
– What is underhyped?
– Is the stack going to get more complex and are better tools needed?
Startups and Investing
– What are some of the biggest lessons you've learned as a successful entrepreneur?
– What do you look for in startups?
– When founders ask you for advice, what questions should they ask more?
– How do you hire great engineering talent in a very competitive market ?
– What do you like to read in your downtime?
– How can people follow your work?
This episode was sponsored by:
Ai+ Training https://aiplus.training/
Home to hundreds of hours of on-demand, self-paced AI training, ODSC interviews, free webinars, and certifications in in-demand skills like LLMs and Prompt Engineering
And created in partnership with ODSC https://odsc.com/
The Leading AI Training Conference, featuring expert-led, hands-on workshops, training sessions, and talks on cutting-edge AI topics and tools, from data science and machine learning to generative AI to LLMOps
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