Closing the Loop Between AI Training and Inference with Lin Qiao - #742

Closing the Loop Between AI Training and Inference with Lin Qiao - #742

In this episode, we're joined by Lin Qiao, CEO and co-founder of Fireworks AI. Drawing on key lessons from her time building PyTorch, Lin shares her perspective on the modern generative AI development lifecycle. She explains why aligning training and inference systems is essential for creating a seamless, fast-moving production pipeline, preventing the friction that often stalls deployment. We explore the strategic shift from treating models as commodities to viewing them as core product assets. Lin details how post-training methods, like reinforcement fine-tuning (RFT), allow teams to leverage their own proprietary data to continuously improve these assets. Lin also breaks down the complex challenge of what she calls "3D optimization"—balancing cost, latency, and quality—and emphasizes the role of clear evaluation criteria to guide this process, moving beyond unreliable methods like "vibe checking." Finally, we discuss the path toward the future of AI development: designing a closed-loop system for automated model improvement, a vision made more attainable by the exciting convergence of open and closed-source model capabilities. The complete show notes for this episode can be found at https://twimlai.com/go/742.

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Targeted Ticket Sales Using Azure ML with the Trail Blazers w/ Mike Schumacher & Chenhui Hu - TWiML Talk #156

Targeted Ticket Sales Using Azure ML with the Trail Blazers w/ Mike Schumacher & Chenhui Hu - TWiML Talk #156

In today’s episode of our AI in Sports series I'm joined by Mike Schumacher, director of business analytics for the Portland Trail Blazers, and Chenhui Hu, a data scientist at Microsoft to discuss how...

26 Kesä 201837min

AI for Athlete Optimization with Sinead Flahive - TWiML Talk #155

AI for Athlete Optimization with Sinead Flahive - TWiML Talk #155

This week we’re excited to kick off a series of shows on AI in sports. In this episode I'm joined by Sinead Flahive, data scientist at Dublin, Ireland based Kitman Labs to discuss Kitman’s Athlete Opt...

25 Kesä 201840min

Omni-Channel Customer Experiences with Vince Jeffs - TWiML Talk #154

Omni-Channel Customer Experiences with Vince Jeffs - TWiML Talk #154

In this, the final episode of our PegaWorld series I’m joined by Vince Jeffs, Senior Director of Product Strategy for AI and Decisioning at Pegasystems. Vince and I had a great talk about the role AI ...

21 Kesä 201843min

Workforce Intelligence for Automation & Productivity with Michael Kempe - TWiML Talk #153

Workforce Intelligence for Automation & Productivity with Michael Kempe - TWiML Talk #153

In this episode of our PegaWorld series, I’m joined by Michael Kempe, chief operating officer at global share registry and financial services provider Link Market Services. In the interview, Michael a...

20 Kesä 201836min

Data Platforms for Decision Automation at Scotiabank with Jim Saleh - TWiML Talk #152

Data Platforms for Decision Automation at Scotiabank with Jim Saleh - TWiML Talk #152

In this show, part of our PegaWorld 18 series, I'm joined by Jim Saleh, Senior Director of process and decision automation at Scotiabank. Jim is tasked with helping the bank transition from a world wh...

19 Kesä 201832min

Towards the Self-Driving Enterprise with Kirk Borne - TWiML Talk #151

Towards the Self-Driving Enterprise with Kirk Borne - TWiML Talk #151

In this show, the first of our PegaWorld 18 series, I'm joined by Kirk Borne, Principal Data Scientist at management consulting firm Booz Allen Hamilton. In our conversation, Kirk shares his views on ...

18 Kesä 201841min

How a Global Energy Company Adopts ML & AI with Nicholas Osborn - TWiML Talk #150

How a Global Energy Company Adopts ML & AI with Nicholas Osborn - TWiML Talk #150

On today’s show I’m excited to share this interview with Nick Osborn, a longtime listener of the show and Leader of the Global Machine Learning Project Management Office at AES Corporation, a Fortune ...

14 Kesä 201846min

Problem Formulation for Machine Learning with Romer Rosales - TWiML Talk #149

Problem Formulation for Machine Learning with Romer Rosales - TWiML Talk #149

In this episode, i'm joined by Romer Rosales, Director of AI at LinkedIn. We begin with a discussion of graphical models and approximate probability inference, and he helps me make an important connec...

11 Kesä 201850min

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