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Контент предоставлен Amit Prakash & Dheeraj Pandey, Dheeraj Pandey, and Amit Prakash. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией Amit Prakash & Dheeraj Pandey, Dheeraj Pandey, and Amit Prakash или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.player.fm/legal.
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Rajat Monga on TensorFlow, Startups, and the Future of AI - Episode 09: The Effortless Podcast

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Контент предоставлен Amit Prakash & Dheeraj Pandey, Dheeraj Pandey, and Amit Prakash. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией Amit Prakash & Dheeraj Pandey, Dheeraj Pandey, and Amit Prakash или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.player.fm/legal.

In this special guest episode of the Effortless Podcast, Amit Prakash sits down with Rajat Monga, the creator of TensorFlow and current Corporate Vice President of Engineering at Microsoft. With a career spanning Google Brain, founding Inference, and leading AI inferencing at Microsoft, Rajat offers a unique perspective on the evolution of AI. The conversation dives into TensorFlow’s revolutionary impact, the challenges of building startups, the rise of PyTorch, the future of inferencing, and how transformative tools like GPT-4 and OpenAI’s Gemini are reshaping the AI landscape.
Key Topics and Chapter Markers:

Introduction to Rajat Monga & TensorFlow Legacy [0:00]

The inflection points in AI: TensorFlow's role and challenges [6:00]

PyTorch vs. TensorFlow: A tale of shifting paradigms [16:00]

The startup journey: Building Inference and lessons learned [27:00]

Exploring O1 and advancements in reasoning frameworks [54:00]

AI inference: Cost optimizations and hardware innovations [57:00]

Agents, trust, and validation: AI in decision-making workflows [1:05:00]

Rajat’s personal journey: Tools for resilience and finding balance [1:20:00]

Host:

Amit Prakash: Co-founder and CTO at ThoughtSpot, formerly at Google AdSense and Bing, and a PhD in Computer Engineering. Amit has a strong track record in analytics, machine learning, and large-scale systems.

Follow Amit on:

LinkedIn - https://www.linkedin.com/in/amit-prakash-50719a2/

X (Twitter) - https://x.com/amitp42

Guest:

Rajat Monga: He is a pioneer in the AI industry, best known as the co-creator of TensorFlow. He has held senior roles at Google Brain and Microsoft, shaping the foundational tools that power today’s AI systems. Rajat also co-founded Inference, a startup focused on anomaly detection in data analytics. At Microsoft, he leads AI software engineering, advancing inferencing infrastructure for the next generation of AI applications. He holds a Btech Degree from IIT, Delhi.

Follow Rajat on:

LinkedIn - https://www.linkedin.com/in/rajatmonga/

X (Twitter) - https://twitter.com/rajatmonga

Share Your Thoughts: Have questions or comments? Drop us a mail at EffortlessPodcastHQ@gmail.com

Email: EffortlessPodcastHQ@gmail.com

  continue reading

10 эпизодов

Artwork
iconПоделиться
 
Manage episode 456149706 series 3613634
Контент предоставлен Amit Prakash & Dheeraj Pandey, Dheeraj Pandey, and Amit Prakash. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией Amit Prakash & Dheeraj Pandey, Dheeraj Pandey, and Amit Prakash или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.player.fm/legal.

In this special guest episode of the Effortless Podcast, Amit Prakash sits down with Rajat Monga, the creator of TensorFlow and current Corporate Vice President of Engineering at Microsoft. With a career spanning Google Brain, founding Inference, and leading AI inferencing at Microsoft, Rajat offers a unique perspective on the evolution of AI. The conversation dives into TensorFlow’s revolutionary impact, the challenges of building startups, the rise of PyTorch, the future of inferencing, and how transformative tools like GPT-4 and OpenAI’s Gemini are reshaping the AI landscape.
Key Topics and Chapter Markers:

Introduction to Rajat Monga & TensorFlow Legacy [0:00]

The inflection points in AI: TensorFlow's role and challenges [6:00]

PyTorch vs. TensorFlow: A tale of shifting paradigms [16:00]

The startup journey: Building Inference and lessons learned [27:00]

Exploring O1 and advancements in reasoning frameworks [54:00]

AI inference: Cost optimizations and hardware innovations [57:00]

Agents, trust, and validation: AI in decision-making workflows [1:05:00]

Rajat’s personal journey: Tools for resilience and finding balance [1:20:00]

Host:

Amit Prakash: Co-founder and CTO at ThoughtSpot, formerly at Google AdSense and Bing, and a PhD in Computer Engineering. Amit has a strong track record in analytics, machine learning, and large-scale systems.

Follow Amit on:

LinkedIn - https://www.linkedin.com/in/amit-prakash-50719a2/

X (Twitter) - https://x.com/amitp42

Guest:

Rajat Monga: He is a pioneer in the AI industry, best known as the co-creator of TensorFlow. He has held senior roles at Google Brain and Microsoft, shaping the foundational tools that power today’s AI systems. Rajat also co-founded Inference, a startup focused on anomaly detection in data analytics. At Microsoft, he leads AI software engineering, advancing inferencing infrastructure for the next generation of AI applications. He holds a Btech Degree from IIT, Delhi.

Follow Rajat on:

LinkedIn - https://www.linkedin.com/in/rajatmonga/

X (Twitter) - https://twitter.com/rajatmonga

Share Your Thoughts: Have questions or comments? Drop us a mail at EffortlessPodcastHQ@gmail.com

Email: EffortlessPodcastHQ@gmail.com

  continue reading

10 эпизодов

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