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What comes after Open AI? Logan Kilpatrick on how you should prepare for the future of LLMs

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Manage episode 429394514 series 3586305
Content provided by Raza Habib. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Raza Habib 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.

If you need to understand the future trajectory of AI, Logan Kilpatrick will help you do just that. Having seen the frontier at both OpenAI and Google.

Logan led developer relations at OpenAI before leading product on the Google AI Studio. He's been closer than anyone to developers building with LLMs and has seen behind the curtain at two frontier labs.

Logan and I talked about:
๐Ÿ”ธ What it was like joining OpenAI the day ChatGPT hit 1 million users
๐Ÿ”ธ What you might expect from GPT5
๐Ÿ”ธ Google's latest innovations and the battle with OpenAI
๐Ÿ”ธ How can you stay ahead and achieve real ROI
๐Ÿ”ธ Logan's insights into the form factor of AI and what will replace chatbots

Chapters:
00:00 - Introduction
01:50 - OpenAI and the Release of ChatGPT
07:43 - Characteristics of Successful AI Products and Teams
10:00 - The Rate of Change in AI
12:22 - The Future of AI and the Role of Systems
13:47 - ROI in AI and Challenges with Cost
18:07 - Advice for Builders and the Potential of Fine-Tuning
20:52 - The Role of Prompt Engineering in AI Development
25:27 - The Current State of Gemini
34:07 - Future Form Factors of AI
39:34 - Challenges and Opportunities in Building AI Startups

I hope you enjoy the conversation and if you do, please subscribe!

--------------------------------------------------------------------------------------------------------------------------------------------------
Humanloop is an Integrated Development Environment for Large Language Models. It enables product teams to develop LLM-based applications that are reliable and scalable. To find out more go to humanloop.com

  continue reading

11 episodes

Artwork
iconShare
 
Manage episode 429394514 series 3586305
Content provided by Raza Habib. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Raza Habib 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.

If you need to understand the future trajectory of AI, Logan Kilpatrick will help you do just that. Having seen the frontier at both OpenAI and Google.

Logan led developer relations at OpenAI before leading product on the Google AI Studio. He's been closer than anyone to developers building with LLMs and has seen behind the curtain at two frontier labs.

Logan and I talked about:
๐Ÿ”ธ What it was like joining OpenAI the day ChatGPT hit 1 million users
๐Ÿ”ธ What you might expect from GPT5
๐Ÿ”ธ Google's latest innovations and the battle with OpenAI
๐Ÿ”ธ How can you stay ahead and achieve real ROI
๐Ÿ”ธ Logan's insights into the form factor of AI and what will replace chatbots

Chapters:
00:00 - Introduction
01:50 - OpenAI and the Release of ChatGPT
07:43 - Characteristics of Successful AI Products and Teams
10:00 - The Rate of Change in AI
12:22 - The Future of AI and the Role of Systems
13:47 - ROI in AI and Challenges with Cost
18:07 - Advice for Builders and the Potential of Fine-Tuning
20:52 - The Role of Prompt Engineering in AI Development
25:27 - The Current State of Gemini
34:07 - Future Form Factors of AI
39:34 - Challenges and Opportunities in Building AI Startups

I hope you enjoy the conversation and if you do, please subscribe!

--------------------------------------------------------------------------------------------------------------------------------------------------
Humanloop is an Integrated Development Environment for Large Language Models. It enables product teams to develop LLM-based applications that are reliable and scalable. To find out more go to humanloop.com

  continue reading

11 episodes

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