Practical AI – Episode #295

Creating tested, reliable AI applications

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It can be frustrating to get an AI application working amazingly well 80% of the time and failing miserably the other 20%. How can you close the gap and create something that you rely on? Chris and Daniel talk through this process, behavior testing, and the flow from prototype to production in this episode. They also talk a bit about the apparent slow down in the release of frontier models.

Featuring

Sponsors

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Notes & Links

📝 Edit Notes

Chapters

1 00:00 Welcome to Practical AI 00:46
2 00:57 Sponsor: Fly 02:29
3 03:33 Thanksgiving preparations 01:24
4 04:57 Agents in production 01:30
5 06:27 AI ceiling & current hype 02:11
6 08:39 Level of transformation 02:10
7 10:49 Current models are mostly good enough 05:56
8 16:55 Sponsor: Timescale 02:17
9 19:34 Robust AI workflows 05:04
10 24:39 Finding the right workflow 06:08
11 30:47 Transition from notebook to code 03:02
12 34:06 Sponsor: Eight Sleep 02:34
13 36:44 Testing and integrating 03:22
14 40:07 Sketching out a good framework 07:17
15 47:23 Roles have shifted 01:57
16 49:20 Outro 00:46

Transcript

⏰ Coming Soon

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