
HyperLLM is a new generation of Small Language Models called 'Hybrid Retrieval Transformers' that works with hyper-retrieval and world-class serverless embedding to power instant fine-tuning and training at 85% less cost.
It offers real-time retrieval for instant model fine-tuning, making AI model tuning and training accessible to everyone with no additional costs or training time. Instead of waiting hours for a model to adapt, you can adjust it on demand and keep moving.
Exthalpy is the variable for hyperparameter control over HRTs, giving you a straightforward way to manage how your models behave.

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