Exthalpy also offers real-time AI model fine-tuning with no extra cost or training time. The platform is designed as a serverless and decentralized way for large language models to tap into the internet for real-time interactions. That opens up use cases like improving chatbot systems, recommending products and content to customers, and building market intelligence models for specific domains.
Among the features:
Exthalpy's distributed computing and low-latency data retrieval architecture is designed to deliver real-time local embeddings through retrieval-first semantic search. That means it's faster and more accurate than traditional methods, and can help users save up to 85% compared to leading large language models. The platform also includes detailed reporting, performance benchmarking and client training resources.
Some examples of use cases:
Pricing tiers are designed to accommodate different budgets:
Exthalpy promises a 1:1 enterprise-first experience with 24/7 live support and dedicated technical staff. Customers can integrate Exthalpy into their own stacks using documentation and API references. New customers can get started with a free first 100 queries.
Published on June 12, 2024
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