HyperLLM
AI language model for efficient training and tuning
Language modelAI trainingCost-effective
Introduction
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.
Key Features
Hybrid Retrieval Transformers architecture
Hyper-retrieval for quick fine-tuning
Serverless vector database for decentralization
Frequently Asked Questions
What is HyperLLM?
How to use HyperLLM?
Is HyperLLM training-dependent?
What is the unique feature of HyperLLM's model architecture?
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Use Cases
- Enhance chatbot systems with real-time information retrieval
- Offer real-time product recommendations based on user interests
- Build search engines for contextually relevant search results
How to Use
To use HyperLLM, visit hyperllm.org, get a demo, and start fine-tuning and training your AI models instantly at a significantly reduced cost.