Building Reliable LLM Apps with OpenAI (Instructor Tutorial)

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⏱️ Timestamps
00:00 Introduction
01:29 OpenAI Default Response
09:41 OpenAI JSON Mode
14:56 OpenAI Function Calling
23:53 Pydantic + Instructor
35:25 Output Validation
41:04 Content Filtering
45:17 Use Case Example
47:38 What is Data Freelancer?

👋🏻 About Me
Hi there! I'm Dave, an AI Engineer and the founder of Datalumina. On this channel, I share practical coding tutorials to help you become better at building intelligent systems. If you're interested in that, consider subscribing!

#openai #pydantic #instructor #json
  1. Dave Ebbelaar
  2. data science
  3. python
  4. machine learning
  5. vscode
  6. data analytics
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Комментарии
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Creator of instructor here! Thanks so much for this video

jxnlco
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Please keep on making unique content like this that solves pains of gen AI developers for which solutions aren't that straightforward.

mzafarr
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This is gold. Thanks for sharing Dave!

isaihernandez
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I like how you are so comprehensive in covering the different branches of scenarios and possibilities, going over the trade-offs. All these delivered so systematically and articulately as well. Well done. I RARELY subscribe to tutorial channels but yours is an instant subscribe after 2 videos.

treflatface
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I had been wondering about these problems for a while. This video is 100% gold!

daffertube
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Great content. The progressive approach of explaining the problem and narrowing down the solutions is perfect 👌

sapiensmagno
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Your content is amazing. Super clear, cover every scenario. Thank you!!!

matheusmota
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The exact video i needed with Pydantic and Instructor - Thank you Dave!

aliabassi
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Dave.. your content is so specific for us GenAI devs. I LOVE it. Please keep it up!

vmxxwicbz
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Great walkthrough and thank you for pointing out Instructor - a great library!

baksoy
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This is really wonderful tutorial! I hope this video becomes popular soon. Could you share such more tutorial talking about how to make LLM application output consistent responses with production grade solution that will scale!

kapilkhond
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Wow! Knowledge bomb.
Please make more videos like this.

farhanafridi
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Great tutorial Dave! Really thank you for sharing knowledge like this. It's helping me a lot!!

tonimigliato
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Excellent explanation!! Thanks so much for this video.

rfa_solutions
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man, you're a really good teacher!

johannesseikowsky
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Hey Dave, thank you so much for the video.

imadsaddik
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Great content, immediately using it!! Many thanks!!

miguelmeza
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Really helpful video Dave, thank you for sharing this information!

pedroaquino
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Well deserved compliments in the comments, you have explained the greatest ability of LLMs very clear. Let's chat at the next Amsterdam AI Builders Meetup!

faustoalbers
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This was great, thanks. I've had questions about this previously

AndrewChildsza
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