HyperLLM

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Introduction:
HyperLLM offers tools for training, tuning, and deploying efficient language models and retrieval-based AI applications.
Added on:
Jun 13 2024
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HyperLLM Product Information

What is HyperLLM?

HyperHRT introduces a new generation of language model architecture developed at the Indian Institute of Technology, Patna that you can train & tune and integrate with a small-language model. HyperHRT works on real-time decentralised fine-tuning approach. HyperCrawl is a part of HyperLLM where they are dedicated to build the infrastructure for a world of future LLMs. Models that requires less computational resources & outperforms any models available. Exthalpy is serverless retrieval to power the future of AI. Build retrieval-first AI applications and models that are less dependent on computation-heavy training processes.

How to use HyperLLM?

Use HyperCrawl via API or install it as a Python library. Exthalpy can be used to build retrieval-first AI applications. Train and tune language models using HyperHRT.

HyperLLM's Core Features

Real-time decentralised fine-tuning (HyperHRT)

ML-first web crawler (HyperCrawl)

Serverless retrieval (Exthalpy)

Asynchronous Retrieval

Data Preprocessing & Merging

Local Embedding Setup

Dense Vector Semantic Retrieval

Historical Dataset Management

HyperLLM's Use Cases

#1

Building retrieval-first AI applications

#2

Training and tuning language models

#3

Web crawling and data extraction

#4

Creating AI models with reduced computational needs

FAQ from HyperLLM

What is HyperHRT?

What is HyperCrawl?

What is Exthalpy?

How can I use HyperCrawl?

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HyperLLM Website Traffic Analysis

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Mar 2024 - Jun 2026 All Traffic

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