Not Diamond — new SOTA meta-model
notdiamond.ai
Not Diamond — new SOTA meta-model
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Re: Not Diamond — new SOTA meta-model
#2Re: Not Diamond — new SOTA meta-model
#3Re: Not Diamond — new SOTA meta-model
#4To train a router, you literally just upload a dataset with your inputs and eval scores for different models. It’s completely agnostic to your choice of scoring metrics, frameworks, or tools. And if you don’t have your own eval data, you can still use Not Diamond’s base router out of the box—it takes Some other features worth noting:
• Python, TypeScript, and REST API support
• Option to route to faster/cheaper models when doing so doesn’t impact quality
• Joint prompt optimization interface
• Online, real-time personalization to hyperpersonalize model recommendations to individual end users
• Blazing fast inference speeds (• Easy deployments to your private infra
Would love to hear what folks think.
Re: Not Diamond — new SOTA meta-model
#5this is neat, where can i find more details on how the automatic routing logic works?
Re: Not Diamond — new SOTA meta-model
#6Re: Not Diamond — new SOTA meta-model
#7Are computer vision models supported?
Re: Not Diamond — new SOTA meta-model
#8Re: Not Diamond — new SOTA meta-model
#9Re: Not Diamond — new SOTA meta-model
#10I've been working with the team at Not Diamond and trying out the private beta for a couple of weeks, and the routing experience is great. It makes it really easy to use different models and also route based on different tradeoffs. All I had to do was grab API keys from the different LLM APIs and quickly set it up.