ChatGPT Models Get an Upgrade? OpenAI Fine-Tuning API and Custom Models
OpenAI enhances its fine-tuning API and expands the custom models program, introducing new features for greater developer control and efficiency in AI model training. This initiative supports various applications, from improving job recommendation algorithms to specialized domain training, aiming to enhance performance, reduce costs, and lower latency.
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Introducing improvements to the fine-tuning API and expanding our custom models program
openai.com/blog/introducing-i...
Fine-tuning OpenAI Documentation
Learn how to customize a model for your application.
platform.openai.com/docs/guid...
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Key Takeaways:
✩ Epoch-based Checkpoint Creation: This feature allows the creation of a model checkpoint at each training epoch, reducing the need for retraining and helping to prevent overfitting.
✩ Assisted Fine-Tuning in Custom Models Program: A collaborative effort with OpenAI's technical team to utilize advanced fine-tuning techniques and hyperparameters for optimizing model performance for specific tasks or domains.
✩ Custom-Trained Model Development: For highly specialized needs, OpenAI offers the development of custom-trained models from scratch, using proprietary data to impart unique domain knowledge and capabilities.
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Пікірлер: 13
Navigate to key moments👇 made via tubestamp.com 0:00 - Introduction to OpenAI's model fine-tuning 1:00 - Specific capabilities of custom fine-tuned models 3:14 - Comparing different model outputs in the playground 4:26 - Importance of prompt input and output in models 5:30 - Advantages of using base model over fine-tune model 6:45 - Transitioning to developing your own language model Recap by TubeStamp ✏️
I was not expecting you to say “make your own LLM” 😅 how would you go about doing that?
Great content as always
Correct me if I'm wrong. Wouldn't building out your own LLM be an impossible task for a single person?
@webcafeai
2 ай бұрын
In the context of taking this step, having a team would definitely be needed. I bring this up in this video as something to keep in mind. If the software you created is generating substantial income, then by this point, you would have a team of capable engineers. This LLM doesn't have to do everything; it just has to do the things you provide on your platform very effectively.
@user-dx9nz8ue3e
2 ай бұрын
@@webcafeai Got it, thanks!
Where can i find pricing for the fine-tuned models? From what i know a 3.5 fine tuned model has the same price/token as the base model.
@webcafeai
Ай бұрын
Pricing for these models can be found here: openai.com/pricing
is gpt3.5 good enough for invoice processing, if the invoice is input as an image file, do i need the vision capabilities of gpt4?
@webcafeai
2 ай бұрын
3.5 is definitely powerful enough to handle invoices. In the context of how to process them in a more cost-friendly way, instead of using a high-level model like GPT-4 to read the image, converting the invoice into raw data for 3.5 to analyze would be the more attractive route.
Corbin I love your content bro, but I couldn’t help but notice you had your face on the screen in 7 different places all at once @1:10 😂 we see you bro
@webcafeai
2 ай бұрын
😂
Well done, good job. I`m always on to your videos. But, it`s about time we start to adress the issues of long exposure to the use of generative A.I. Guys, people, student`s in particular, are getting dumbe and dumber. Beside presenting appearently outstanding academic essays and articles. Should`nt that issue be adressed? I think it`s time. Again, great videos, love it.