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No-Code Generative AI, Domain specific LLMs, AI experimentation | Karthik Dinakar, cofounder and CTO of Pienso

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Manage episode 374228145 series 3370867
Content provided by Prateek Joshi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Prateek Joshi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Karthik Dinakar is the cofounder and CTO of Pienso, an interactive AI platform anyone can use to turn text data into insights without requiring any coding. He has a PhD in Machine Learning from MIT. He has held roles at MIT Media Lab, Microsoft, and Deutsche Bank.
In this episode, we cover a range of topics including:
- Tech stack of Generative AI applications
- Problem with general purpose LLMs
- Training LLMs on my own data
- Making LLMs faster and cheaper
- Shortage of AI compute
- Context windows
- Pursuit of AGI
Karthik's favorite books:
- Introduction to Algorithms (Authors: Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein)
- Mindstorms: Children, Computers, And Powerful Ideas (Author: Seymour Peypert)
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Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi

  continue reading

152 episodes

Artwork
iconShare
 
Manage episode 374228145 series 3370867
Content provided by Prateek Joshi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Prateek Joshi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Karthik Dinakar is the cofounder and CTO of Pienso, an interactive AI platform anyone can use to turn text data into insights without requiring any coding. He has a PhD in Machine Learning from MIT. He has held roles at MIT Media Lab, Microsoft, and Deutsche Bank.
In this episode, we cover a range of topics including:
- Tech stack of Generative AI applications
- Problem with general purpose LLMs
- Training LLMs on my own data
- Making LLMs faster and cheaper
- Shortage of AI compute
- Context windows
- Pursuit of AGI
Karthik's favorite books:
- Introduction to Algorithms (Authors: Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein)
- Mindstorms: Children, Computers, And Powerful Ideas (Author: Seymour Peypert)
--------
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi

  continue reading

152 episodes

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