HyperLLM : AI Language Model for Efficient Training and Tuning

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%.