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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.
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.
You should choose this if you want cutting-edge small language models that fine-tune instantly and cost way less. It’s all about real-time retrieval and serverless setups, making AI training accessible and efficient without the usual heavy compute needs.
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