HyperLLM - Hybrid Retrieval Transformers
HyperLLM: Small Language Models for instant fine-tuning and training at 85% less cost.
Source rating 5.0
(88)
0 views
0 saves
Unknown
Verdict
A quick read before you dig into the full page.
- Best if
- HyperLLM: Small Language Models for instant fine-tuning and training at 85% less cost
- Pick this when
- HyperLLM: Small Language Models for instant fine-tuning and training at 85% less cost
Overview
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.
Access & connections
Where you can use HyperLLM - Hybrid Retrieval Transformers.
Platforms
Capabilities
What this tool accepts, produces, and is strongest at.
Highlights
- 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
FAQ 6
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.
Can I create my own retrieval model with Exthalpy?
Yes, you can build agents as well as models using Exthalpy for free.
Can I use my model with API?
All Hybrid Retrieval Models come with their own individual API set, model ID & API key. You can use it or share access with other users.
Can I custom label my API URL?
White-labelling Exthalpy API URLs is currently an invite-only option too. But you can contact our team to get priority access of this feature.
Can I use more than 1 source URL as data source?
Yes, models that you build with Exthalpy can use multiple source URLs to create embeddings and answer to queries.
Related tools
Recommended
HyperLLM - Hybrid Retrieval Transformers