HyperLLM is a new generation of Small Language Models called 'Hybrid Retrieval Transformers' that utilizes hyper-retrieval and serverless embedding for instant fine-tuning and training at 85% less cost.
Wie benutzt man HyperLLM?
To use HyperLLM, visit hyperllm.org, get a demo, and start fine-tuning and training your AI models instantly at a significantly reduced cost.
Anwendungsfälle von HyperLLM
Kernfunktionen von HyperLLM
Hybrid Retrieval Transformers architecture
Hyper-retrieval for quick fine-tuning
Serverless vector database for decentralization
FAQ von HyperLLM
Is HyperLLM training-dependent?
What is the unique feature of HyperLLM's model architecture?
