HyperLLM

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Introduction:
HyperLLM: Small Language Models for instant fine-tuning and training at 85% less cost.
Added on:
Jul 08 2024
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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 world-class server less 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 use cases. Integrate Exthalpy into your stacks with provided documentation and API references. Build models using 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's 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 niched 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?

Can I use my model with API?

Can I custom label my API URL?

Can I use more than 1 source URL as data source?

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