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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Hyperparameter Optimization through Neural Network Partitioning with Christos Louizos - #627

Hyperparameter Optimization through Neural Network Partitioning with Christos Louizos - #627

Today we kick off our coverage of the 2023 ICLR conference joined by Christos Louizos, an ML researcher at Qualcomm Technologies. In our conversation with Christos, we explore his paper Hyperparameter...

1 Maj 202333min

Are LLMs Overhyped or Underappreciated? with Marti Hearst - #626

Are LLMs Overhyped or Underappreciated? with Marti Hearst - #626

Today we’re joined by Marti Hearst, Professor at UC Berkeley. In our conversation with Marti, we explore the intricacies of AI language models and their usefulness in improving efficiency but also the...

24 Apr 202337min

Are Large Language Models a Path to AGI? with Ben Goertzel - #625

Are Large Language Models a Path to AGI? with Ben Goertzel - #625

Today we’re joined by Ben Goertzel, CEO of SingularityNET. In our conversation with Ben, we explore all things AGI, including the potential scenarios that could arise with the advent of AGI and his pr...

17 Apr 202359min

Open Source Generative AI at Hugging Face with Jeff Boudier - #624

Open Source Generative AI at Hugging Face with Jeff Boudier - #624

Today we’re joined by Jeff Boudier, head of product at Hugging Face 🤗. In our conversation with Jeff, we explore the current landscape of open-source machine learning tools and models, the recent shi...

11 Apr 202333min

Generative AI at the Edge with Vinesh Sukumar - #623

Generative AI at the Edge with Vinesh Sukumar - #623

Today we’re joined by Vinesh Sukumar, a senior director and head of AI/ML product management at Qualcomm Technologies. In our conversation with Vinesh, we explore how mobile and automotive devices hav...

3 Apr 202339min

Runway Gen-2: Generative AI for Video Creation with Anastasis Germanidis - #622

Runway Gen-2: Generative AI for Video Creation with Anastasis Germanidis - #622

Today we’re joined by Anastasis Germanidis, Co-Founder and CTO of RunwayML. Amongst all the product and model releases over the past few months, Runway threw its hat into the ring with Gen-1, a model ...

27 Mars 202349min

Watermarking Large Language Models to Fight Plagiarism with Tom Goldstein - 621

Watermarking Large Language Models to Fight Plagiarism with Tom Goldstein - 621

Today we’re joined by Tom Goldstein, an associate professor at the University of Maryland. Tom’s research sits at the intersection of ML and optimization and has previously been featured in the New Yo...

20 Mars 202351min

Does ChatGPT “Think”? A Cognitive Neuroscience Perspective with Anna Ivanova - #620

Does ChatGPT “Think”? A Cognitive Neuroscience Perspective with Anna Ivanova - #620

Today we’re joined by Anna Ivanova, a postdoctoral researcher at MIT Quest for Intelligence. In our conversation with Anna, we discuss her recent paper Dissociating language and thought in large langu...

13 Mars 202345min

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