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.

Jaksot(780)

Privacy and Security for Stable Diffusion and LLMs with Nicholas Carlini - #618

Privacy and Security for Stable Diffusion and LLMs with Nicholas Carlini - #618

Today we’re joined by Nicholas Carlini, a research scientist at Google Brain. Nicholas works at the intersection of machine learning and computer security, and his recent paper “Extracting Training Da...

27 Helmi 202343min

Understanding AI’s Impact on Social Disparities with Vinodkumar Prabhakaran - #617

Understanding AI’s Impact on Social Disparities with Vinodkumar Prabhakaran - #617

Today we’re joined by Vinodkumar Prabhakaran, a Senior Research Scientist at Google Research. In our conversation with Vinod, we discuss his two main areas of research, using ML, specifically NLP, to ...

20 Helmi 202331min

AI Trends 2023: Causality and the Impact on Large Language Models with Robert Osazuwa Ness - #616

AI Trends 2023: Causality and the Impact on Large Language Models with Robert Osazuwa Ness - #616

Today we’re joined by Robert Osazuwa Ness, a senior researcher at Microsoft Research, to break down the latest trends in the world of causal modeling. In our conversation with Robert, we explore advan...

14 Helmi 20231h 22min

Data-Centric Zero-Shot Learning for Precision Agriculture with Dimitris Zermas - #615

Data-Centric Zero-Shot Learning for Precision Agriculture with Dimitris Zermas - #615

Today we’re joined by Dimitris Zermas, a principal scientist at agriscience company Sentera. Dimitris’ work at Sentera is focused on developing tools for precision agriculture using machine learning, ...

6 Helmi 202332min

How LLMs and Generative AI are Revolutionizing AI for Science with Anima Anandkumar - #614

How LLMs and Generative AI are Revolutionizing AI for Science with Anima Anandkumar - #614

Today we’re joined by Anima Anandkumar, Bren Professor of Computing And Mathematical Sciences at Caltech and Sr Director of AI Research at NVIDIA. In our conversation, we take a broad look at the emer...

30 Tammi 20231h 1min

AI Trends 2023: Natural Language Proc - ChatGPT, GPT-4 and Cutting Edge Research with Sameer Singh - #613

AI Trends 2023: Natural Language Proc - ChatGPT, GPT-4 and Cutting Edge Research with Sameer Singh - #613

Today we continue our AI Trends 2023 series joined by Sameer Singh, an associate professor in the department of computer science at UC Irvine and fellow at the Allen Institute for Artificial Intellige...

23 Tammi 20231h 45min

AI Trends 2023: Reinforcement Learning - RLHF, Robotic Pre-Training, and Offline RL with Sergey Levine - #612

AI Trends 2023: Reinforcement Learning - RLHF, Robotic Pre-Training, and Offline RL with Sergey Levine - #612

Today we’re taking a deep dive into the latest and greatest in the world of Reinforcement Learning with our friend Sergey Levine, an associate professor, at UC Berkeley. In our conversation with Serge...

16 Tammi 202359min

Supporting Food Security in Africa Using ML with Catherine Nakalembe - #611

Supporting Food Security in Africa Using ML with Catherine Nakalembe - #611

Today we conclude our coverage of the 2022 NeurIPS series joined by Catherine Nakalembe, an associate research professor at the University of Maryland, and Africa Program Director under NASA Harvest. ...

9 Tammi 20231h 6min

Suosittua kategoriassa Politiikka ja uutiset

uutiscast
aikalisa
rss-ootsa-kuullut-tasta
politiikan-puskaradio
ootsa-kuullut-tasta-2
tervo-halme
viisupodi
rss-podme-livebox
otetaan-yhdet
et-sa-noin-voi-sanoo-esittaa
rss-asiastudio
the-ulkopolitist
rss-sanna-ukkola-show-verkkouutiset
io-techin-tekniikkapodcast
rikosmyytit
rss-mina-ukkola
rss-kovin-paikka
rss-hyvaa-huomenta-bryssel
rss-terveisia-seelannista
rss-tasta-on-kyse-ivan-puopolo-verkkouutiset