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Full-stack approach for effective AI agents (Practical AI #269)

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Kandungan disediakan oleh Changelog Media. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Changelog Media atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

There’s a lot of hype about AI agents right now, but developing robust agents isn’t yet a reality in general. Imbue is leading the way towards more robust agents by taking a full-stack approach; from hardware innovations through to user interface. In this episode, Josh, Imbue’s CTO, tell us more about their approach and some of what they have learned along the way.

Leave us a comment

Changelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!

Sponsors:

  • Neo4j – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack.
  • Fly.ioThe home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs.

Featuring:

Show Notes:

Something missing or broken? PRs welcome!

  continue reading

Bab

1. Welcome to Practical AI (00:00:00)

2. Josh Albrecht from Imbue (00:00:43)

Chapter image

3. Categorizing agents (00:04:50)

4. Making agents work (00:08:28)

5. Usecases for agents (00:11:47)

6. Full stack approach (00:13:56)

7. Research first (00:18:11)

8. Focusing on environments (00:20:55)

9. Fundamental laws to deep learning (00:24:11)

11. Engineering trust (00:30:02)

12. New interfaces (00:33:11)

13. Reviewable outputs (00:35:07)

14. Day to day coding with an agent (00:36:58)

15. Language context shifting (00:40:39)

16. Things to come (00:43:41)

17. Thanks for joining us! (00:45:50)

18. Outro (00:46:15)

2037 episod

Artwork
iconKongsi
 
Manage episode 418400108 series 1280399
Kandungan disediakan oleh Changelog Media. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Changelog Media atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

There’s a lot of hype about AI agents right now, but developing robust agents isn’t yet a reality in general. Imbue is leading the way towards more robust agents by taking a full-stack approach; from hardware innovations through to user interface. In this episode, Josh, Imbue’s CTO, tell us more about their approach and some of what they have learned along the way.

Leave us a comment

Changelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!

Sponsors:

  • Neo4j – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack.
  • Fly.ioThe home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs.

Featuring:

Show Notes:

Something missing or broken? PRs welcome!

  continue reading

Bab

1. Welcome to Practical AI (00:00:00)

2. Josh Albrecht from Imbue (00:00:43)

Chapter image

3. Categorizing agents (00:04:50)

4. Making agents work (00:08:28)

5. Usecases for agents (00:11:47)

6. Full stack approach (00:13:56)

7. Research first (00:18:11)

8. Focusing on environments (00:20:55)

9. Fundamental laws to deep learning (00:24:11)

11. Engineering trust (00:30:02)

12. New interfaces (00:33:11)

13. Reviewable outputs (00:35:07)

14. Day to day coding with an agent (00:36:58)

15. Language context shifting (00:40:39)

16. Things to come (00:43:41)

17. Thanks for joining us! (00:45:50)

18. Outro (00:46:15)

2037 episod

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