What is HyperLLM?
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.
How to use 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.
HyperLLM's Core Features
Hybrid Retrieval Transformers architecture
Hyper-retrieval for quick fine-tuning
Serverless vector database for decentralization
HyperLLM's 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
- HyperLLM Support Email & Customer service contact & Refund contact etc.
Here is the HyperLLM support email for customer service: [email protected] . More Contact, visit the contact us page(https://hyperllm.org/index.php/contact/)
HyperLLM Company
HyperLLM Company name: CMLR Research Labs .
HyperLLM Company address: Admin block, Indian Institute of Technology, Patna.
HyperLLM Pricing
HyperLLM Pricing Link: https://hyperllm.org/index.php/pricing/
HyperLLM Facebook
HyperLLM Facebook Link: https://www.facebook.com/exthalpy
HyperLLM Linkedin
HyperLLM Linkedin Link: https://www.linkedin.com/company/exthalpy
HyperLLM Twitter
HyperLLM Twitter Link: https://twitter.com/exthalpy
HyperLLM Instagram
HyperLLM Instagram Link: https://www.instagram.com/exthalpy
FAQ from HyperLLM
What is HyperLLM?
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.
How to use 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.
Is HyperLLM training-dependent?
No, HyperLLM's Hybrid Retrieval Transformers are training-independent, allowing you to save on model training and tuning costs.
What is the unique feature of HyperLLM's model architecture?
HyperLLM's decentralised architecture offers hyper efficient alternatives to current Large Language Models, reducing costs by 85%.