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Demonstrating you can do it yourself shows a level of investment and commitment to AI in your platform that integrating LLAMA does not. And from a corporate pe
by Closi 3y ago
Demonstrating you can do it yourself shows a level of investment and commitment to AI in your platform that integrating LLAMA does not.
And from a corporate perspective, it means that you have in-house capability to work at the cutting-edge of AI to be prepared for whatever comes next.
- hintymad 3y ago> Demonstrating you can do it yourself shows a level of investment and commitment to AI in your platform that integrating LLAMA does not. I buy this argument. It looks that's not what AWS does, though, yet they don't have problem attracting LLM users. Maybe AWS already got enough reputation?
- zubairshaik 3y agoI may be misunderstanding, but doesn't Amazon have it's own models in the form of Amazon Titan[0]? I know they aren't competitive in terms of output quality but surely in terms of cost there can be some use cases for them. [0] https://aws.amazon.com/bedrock/titan/ https://aws.amazon.com/bedrock/titan/
- rmbyrro 3y agoIt's easier because 70% of the market already has an AWS account and a sizeable budget allocated to it. The technical team is literally one click away from any AWS service.