HyperLLM

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Introduction: HyperLLM is a new generation of Small Language Models known as Hybrid Retrieval Transformers. By utilizing hyper-retrieval and serverless embedding, it enables instant model fine-tuning and training at 85% lower costs. It provides real-time retrieval capabilities, making AI model training accessible without additional expenses or extended training times. Exthalpy serves as the variable for hyperparameter control within these HRTs.

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HyperLLM Product Information

What is HyperLLM?

HyperLLM is a new generation of Small Language Models called 'Hybrid Retrieval Transformers' that works with hyper-retrieval and 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. Exthalpy is the variable for hyperparameter control over HRTs.

How to use HyperLLM?

Get started for free and explore available use cases. Integrate Exthalpy into your tech stack using the provided documentation and API references. Build models by utilizing multiple source URLs to create embeddings and answer queries.

HyperLLM's Core Features

Hybrid Retrieval Transformers (HRT) model architecture
Real-time retrieval argumentation
Serverless vector database for complete decentralization
Zero-latency retrieval architecture (HyperRetrieval)
Hyperparameter control with the Exthalpy variable
Instant model fine-tuning and training

HyperLLM Use Cases

#1 Enhance chatbot systems with real-time information retrieval

#2 Offer personalized content recommendations based on user interests and real-time data

#3 Build niche market intelligence models with semantic search capabilities

#4 Implement real-time enterprise knowledge management systems

#5 Gather and synthesize real-time market research data for product management

#6 Build AI models for CRM systems to provide real-time customer insights

FAQ from HyperLLM

Can I create my own retrieval model with Exthalpy? +

Yes, you can build both agents and models using Exthalpy for free.

Can I use my model with an API? +

All Hybrid Retrieval Models include their own individual API set, model ID, and API key. You can use these or share access with other users.

Can I custom label my API URL? +

White-labeling Exthalpy API URLs is currently an invite-only option. You may contact our team to request priority access to this feature.

Can I use more than one source URL as a data source? +

Yes, models built with Exthalpy can utilize multiple source URLs to create embeddings and answer queries.

HyperLLM Pricing

Free

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HyperLLM

HyperLLM Product Information

What is HyperLLM?

How to use HyperLLM?

HyperLLM's Core Features

HyperLLM Use Cases

FAQ from HyperLLM

HyperLLM Pricing

Free

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