By searching for the closest examples with respect to the input query and adding them to prompt, it often matches the performance of state of the art fine-tuned models, providing an autoML solution that is easy to configure and adapt.
Classifications endpoint: Can leverage labeled training data without fine-tuning.Can be used to build applications like customer support bots with no fine-tuning.
Answers endpoint: Searches provided information (documents, knowledge bases etc.) for relevant context to be added to the prompt before completing with GPT-3.“It was able to return very relevant, evergreen content from our news archives for questions such as ‘Why does a volcano erupt?’”Īs we scale access, our team is continually improving the platform-from implementing a content filter to offering new features for developers including our recently launched: We’ve seen great results from Algolia Answers on questions that are difficult to answer with textual search alone,” said Peter Buffington, Product Manager at ABC Australia. After running tests of GPT-3 on 2.1 million news articles, Algolia saw 91% precision or better and Algolia was able to accurately answer complex natural language questions four times more often than BERT. Algolia Answers helps publishers and customer support help desks query in natural language and surface nontrivial answers. When the OpenAI API launched, Algolia partnered with OpenAI to integrate GPT-3 with their advanced search technology in order to create their new Answers product that better understands customers’ questions and connects them to the specific part of the content that answers their questions. Algolia uses GPT-3 in their Algolia Answers product to offer relevant, lightning-fast semantic search for their customers.
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