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Language Models

HyperHRT - Instant serverless finetuning

HyperLLM offers tools for training, tuning, and deploying efficient language models and retrieval-based AI applications.

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Language Models Web crawler Serverless retrieval
More categories (7)
AI Machine Learning Fine-Tuning Data extraction API Python library open-source
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Verdict

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HyperLLM offers tools for training, tuning, and deploying efficient language models and retrieval-based AI applications
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HyperLLM offers tools for training, tuning, and deploying efficient language models and retrieval-based AI applications

Overview

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.

HyperHRT - Instant serverless finetuning screenshot

Access & connections

Where you can use HyperHRT - Instant serverless finetuning.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Highlights

  • 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

FAQ 6

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.
What is HyperHRT?
HyperHRT is 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. It works on a real-time decentralised fine-tuning approach.
What is HyperCrawl?
HyperCrawl is a ML-first web crawler designed to boost retrieval processes by eliminating the crawl time of domains.
What is Exthalpy?
Exthalpy is serverless retrieval to power the future of AI, enabling the building of retrieval-first AI applications and models that are less dependent on computation-heavy training processes.
How can I use HyperCrawl?
HyperCrawl is available as an API and as a Python library which is open-source and free to use. You can install it using pip.
HyperHRT - Instant serverless finetuning
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