Top 5 LLM Fine-Tuning Use Cases You Need to Know

[@maya-akim]

I hope you enjoy this video and let me know if you have any ideas for the next one :)

[@leonvanzyl]

Excellent video Maya. Really informative. Your editing is really cool as well!

[@ImranKhan-wr2il]

How to build your own custom finetuned chatbot -YES 👍 Waiting for your next video

[@steveraju]

I would go as far as saying that you, Maya, are one of the best AI creators on KZbin. Seriously. Excellent content, you have my mind racing with ideas. Keep going! 😊

[@maya-akim]

Thank you so much! 😊

[@AndreAmorim-AA]

Your videos are very didactic, and you have a communication talent. You have a good tone of voice and rhythm for explaining complex topics in a more accessible manner. I find the LLM knowledge domain, fine-tuning, and specific use case applications to be very interesting. I'm wondering if you will go into depth on topics such as Huggingface, the Langchain tutorial, how to deploy our own environment in the cloud (for example, cloud GPU benchmark prices), or even how to deploy LLM locally on premises for sensitive data. That would be great. Thanks for your videos.

[@maya-akim]

Thank you so much for this lovely comment and for all the ideas you shared. I was definitely planning on making more Huggingface/LangChain videos. And you totally opened my eyes to GPU benchmark prices/LLM and sensitive data, I never thought there would be interest but I think that those topics could be turned into great youtube videos.

[@jeffreymorrell2715]

Would love a video on fine tuning for my writing style. I’ve been trying to do this for a while and it hasn’t been great

[@andrey-i2c]

Could you please give a link for 7:48?

[@kevinduck3714]

Your videos are awesome. Keep it up!

[@maya-akim]

Thanks a lot!

[@loicbaconnier9150]

Yes you make a very good work thanks. One another important topic to cover will be RAG and fine tunning it. Why fine tunning RAG , is it better, complementary,.....

[@fufuscientonoventa2181]

I want to send to a LLM documents from my clients (big banks, mutual funds, etc) so that it helps me extract certain data from them. However, I cannot do that with chatGPT or Copilot given that this would breach privacy agreements we have with these clients, as the documents have sensitive information. What is my best alternative? Can I create a fine tuned model which uses a strong LLM such as the ones behind chatGPT or copilot on the back, but which runs locally so that the data I provide the LLM is not uploaded anywhere? Thanks in advance.

[@elrecreoadan878]

Hi ! When should one opt to fine tune instead of using a voiceflow / botpress ai bot for customer service?

[@stephane-wamba]

Good job! Your video is so captivating. What softwares have you used to that?

[@oryxchannel]

Keen...progressive introduction points.

[@RichardGetzPhotography]

BING watching!! I like the 6:50 t5-small from Biblical text. This would help with my Bible app.

[@weiyeeong1212]

you're the best!

[@soumyanath5595]

Planning to fine tune GPT 2 small LLM model (145 million parameters.) locally in a machine Will a laptop consisting of i5 13th Gen and Nvidia RTX 3050 6GB Graphics card, able to do all this task

[@atalaeuro1431]

Hello Maya - good