5 Steps to Build Your Own LLM Classification System

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5 Steps to Build Your Own LLM Classification System

Рет қаралды 7,596

Күн бұрын

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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!

Пікірлер: 26

@avidlearner8117 Ай бұрын

Maaaaaan.... You have THE BEST content, HANDS DOWN, for Gen AI Development. Clear, concise, every step explained, context.... Context is key... Bravo! And thanks a lot for this, it's inspiring.

@daveebbelaar Ай бұрын

Wow, thanks!

@HerroEverynyan Ай бұрын

So cool that you make such great content, with clear explanations, and are so transparent

@daveebbelaar Ай бұрын

I appreciate that!

@IdPreferNot1 Ай бұрын

Such great content. I was going to gist this and then i see that's even how you're sharing it! I wanted to get a use case for Instructor library as looked interesting, but wasnt sure what it added beyond pydantic. ... and here it is. Thanks!

@farhanafridi8694 Ай бұрын

Great! would love to see more of these.

@jeromedupourque6067 Ай бұрын

Congratulations this is just perfect!

@nexuslux Ай бұрын

Excellent video. Can you go into a bit more detail of how a database of this type of information might look and operate. Or any type of automation that would be involved? You mentioned sentiment or you mentioned doing analytics

@mamadou-diandjalo6723 Ай бұрын

This is exactly what i needed ! Thanks !!

@lesptitsoiseaux Ай бұрын

You have 50 000 classes transcripts you need to do a recommendation engine. Best approach?

@volt8399 Ай бұрын

You did an amazin job, thank you so much for sharing this.

@MuhammadFaizanMumtaz3 Ай бұрын

great yar bhoat zbrdst.

@sumitbindra Ай бұрын

Loved the content. What are the advantages of using this instead of function calling?

@daveebbelaar Ай бұрын

@@sumitbindra streamlines prompt engineering, less code, and auto retries.

@sumitbindra Ай бұрын

@@daveebbelaar makes sense. thank you

@guilhermeveiga9345 Ай бұрын

Good tip thnkss

@jppalmab Ай бұрын

Gold

@synergyai Ай бұрын

How do you deal with the objections of sending this 'sensitive' data to OpenAI? We are doing a project now where we have to clean the data before sending it to openAI which is a big challenge. Curious to hear other people thoughts on this...

@daveebbelaar Ай бұрын

We use Azure OpenAI. Clients are generally okay with that in our experience.

@AbdulBasit-ff6tq Ай бұрын

Why don't you just just use the json response from openai directly?

@daveebbelaar Ай бұрын

This unifies your data structures without relying on prompt engineering. You still have to provide a JSON schema when using the JSON response with OpenAI, and there is also no automated retry mechanism if it fails to load your Pydantic model afterwards. Overall, this streamlines the development experience, especially if you're working with multiple developers who might all have slightly different prompting styles for JSON. Instructor uses the JSON response and Function Calling under the hood.

@AbdulBasit-ff6tq Ай бұрын

@@daveebbelaar How good or bad this solution is compared to other alternatives like langchain and llamaimdex output parsers?

@avidlearner8117 Ай бұрын

@@AbdulBasit-ff6tq I don't think it's related.