felix089

14 ms·

1. 91.▲
   by felix089 2y ago

   Thanks, and yes, tracking logs is included in the free plan!
2. 92.▲
   by felix089 2y ago

   Thanks for giving it a try! The 100 is for the pro plan, by default you should have 10 in your account, but happy to add more, please email me with your account email, and I'll top it up: founders@finetunedb.com - Thanks!
3. 93.▲
   by felix089 2y ago

   Happy to hear you like the UI, ease of use is key for us. Would love for you to give it a try, any feedback welcome!
4. 94.▲
   by felix089 2y ago

   You can fine-tune any OpenAI model that is available in your account, so both 3.5-turbo and 4o-mini work, but mini replaced 3.5 for most use cases. Where did you see 3.5 mentioned over mini?
5. 95.▲
   by felix089 2y ago

   Okay thanks for sharing, I think that's the way to go with the subset. Feel free to reach out if you need anything, more than happy to take a closer look!
6. 96.▲
   by felix089 2y ago

   Thank you! We currently don't support direct labeling, but if you can extract the text, our platform helps you organize it for fine-tuning. What use case are you looking to train the model for?
7. 97.▲
   by felix089 2y ago

   The cost depends on the number of tokens processed, so fine-tuning on completions costs the same per token as any other data.
8. 98.▲
   by felix089 2y ago

   Yes, you can fine-tune using plain text completions. You don't need structured conversations unless you want conversational abilities. Plain text works great if you want the model to generate text in a specific style or domain. It all
9. 99.▲
   by felix089 2y ago

   Hi, current pricing for Llama 3.1 8B for example is: Training Tokens: $2 / 1M, Input and Output Tokens: $0.30 / 1M. We'll update pricing on the website shortly to reflect this.
10. 100.▲
    by felix089 2y ago

    Agreed too
11. 101.▲
    by felix089 2y ago

    Thanks!
12. 102.▲
    by felix089 2y ago

    Agreed, for this use case probably the easiest way to go.
13. 103.▲
    by felix089 2y ago

    To get the outcome you want, RAG (retrieval augmented generation) would be the way to go, not fine-tuning. Fine-tuning doesn't make the model memorize specific content like a book. It teaches new behaviors or styles. RAG allows the mod
14. 104.▲
    by felix089 2y ago

    Very happy to hear, please do reach out to us with any feedback or questions via founders@finetunedb.com
15. 105.▲
    by felix089 2y ago

    Other co-founder here, so we offer more specific features around iterating on your datasets and include domain experts in this workflow. And I'd argue that you also want your datasets not necessarily with your foundation model provider
16. 106.▲
    by felix089 2y ago

    Thank you, and yes that is possible. Which model are you looking to fine-tune?
17. 107.▲
    by felix089 2y ago

    Thanks! We have a free tier with limited features. Our pro plan starts at €50 per seat per month and includes all features. Teams often collaborate with domain experts to create datasets. And for custom integrations, we offer custom plans o
18. 108.▲
    Show HN: FinetuneDB – AI fine-tuning platform to create custom LLMs(finetunedb.com)

    152 points by felix089 2y ago|68 comments