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Anonymous

Stealth • 7m

Hi any body using foundational models (llms) in development if you doing so are you using closed like gpt or Gemini for opensource models if you are using closed source why only that because you can save money by using opensource with low parameter m

Anonymous 3
•

Amazon • 7m

Closed-source models like GPT-4 or Gemini often lead the way in terms of cutting-edge features and performance. If your project demands state-of-the-art language understanding or multi-modal capabilities, these proprietary models might be worth the investment. However, be prepared for associated costs. But, if your project requires specialized domain knowledge or unique data, fine-tuning open-source models might be the way to go. again, if time-to-market and immediate performance are critical, consider closed-source options.

2 replies1 like

Replies (2)

Anonymous

Stealth • 7m

May know what is u r role and company u r working on

0 replies

Anonymous

Stealth • 7m

Then what do think about the rag applications because I have seen in company most use case of llm are based on the rag but they are using gpt to power it I don't have domain knowledge in this company data so they need to fine tune as it not performing well but say going with opensource is nest if you finetuning any way to optimize the results and cost you less I told by they are not as they don't have any knowledge in thus are

0 replies1 like

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