HyperLLM provides tools for training, tuning, and deploying efficient language models and retrieval-based AI applications. It includes features like real-time decentralised fine-tuning, ML-first web crawling, and serverless retrieval to reduce computational needs and improve efficiency.
HyperLLM offers tools for training, tuning, and deploying efficient language models and retrieval-based AI applications. 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. It works on a 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 require less computational resources and outperform 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.
A.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.
A.HyperCrawl is a ML-first web crawler designed to boost retrieval processes by eliminating the crawl time of domains.
A.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.
A.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.
