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AutoGPT, LLMs for developers, Context windows | Aditya Naganath, Investor at Kleiner Perkins

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Manage episode 364001327 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://ppacc.player.fm/legal.

Aditya Naganath is an investor at Kleiner Perkins, a legendary VC firm with investments in companies such as Google, Amazon, Spotify, Doordash, Slack, Intuit, UiPath, Figma, and many more. Prior to this, he was a product manager at Google focusing on growth initiatives for the SMB monetization team within emerging markets. He has previously been in technical roles at Palantir, Twitter, and Nextdoor. He earned a patent during his time at Twitter for a technical analytics product he co-created. And he has a bachelor’s degree in Computer Science from Columbia University and an MBA from Stanford.
In this episode, we cover a range of topics including:
- Uses of AutoGPT
- How to intervene when AutoGPT gets stuck and how to provide feedback
- ChatGPT Plugins
- Generative AI in the enterprise
- Context windows of LLMs
- What new emergent properties can be uncovered if LLMs can reason over larger context windows
- LLMs for developers
- AI landscape and investment opportunities
Aditya's favorite book: Factfulness (Author: Hans Rosling)
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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

172 episodes

Artwork
iconShare
 
Manage episode 364001327 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://ppacc.player.fm/legal.

Aditya Naganath is an investor at Kleiner Perkins, a legendary VC firm with investments in companies such as Google, Amazon, Spotify, Doordash, Slack, Intuit, UiPath, Figma, and many more. Prior to this, he was a product manager at Google focusing on growth initiatives for the SMB monetization team within emerging markets. He has previously been in technical roles at Palantir, Twitter, and Nextdoor. He earned a patent during his time at Twitter for a technical analytics product he co-created. And he has a bachelor’s degree in Computer Science from Columbia University and an MBA from Stanford.
In this episode, we cover a range of topics including:
- Uses of AutoGPT
- How to intervene when AutoGPT gets stuck and how to provide feedback
- ChatGPT Plugins
- Generative AI in the enterprise
- Context windows of LLMs
- What new emergent properties can be uncovered if LLMs can reason over larger context windows
- LLMs for developers
- AI landscape and investment opportunities
Aditya's favorite book: Factfulness (Author: Hans Rosling)
--------
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

172 episodes

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