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Dune Introduces LLM Feature to Transform Data Interaction, To Integrate GPT-4 Soon

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Data analytics platform Dune has launched its first Large Language Model (LLM) feature, Query Explanations, aiming to improve the user experience when interacting with complex SQL queries, according to an official blog post.

By clicking a button, users will receive a natural language explanation of any query, making data analysis more accessible and less intimidating.

"Soon, the power of GPT4 will provide you with a detailed explanation of the query, helping to improve your knowledge and speed up your journey to data mastery. " read the blog post.

This exciting development is just the beginning of Dune's LLM roadmap, which includes:

  1. Query Translations: Dune plans to help users transition to its homegrown query engine and SQL dialect, Dune SQL, using LLMs for automated tooling and improved experience.
  2. Natural Language Querying: Dune aims to enable users to ask questions and query its vast datasets in plain English, without SQL knowledge. The platform will parse the question, generate the SQL query, and produce an accurate report based on the input.
  3. Search: Dune intends to use LLMs to improve search functionality, making it easier to find the right dashboard or query among hundreds of thousands of options.
  4. Wizard Knowledge Base: A chatbot is in the works to help users quickly navigate through Dune's vast blockchain and SQL knowledge resources. Users will also be able to contribute their own learnings to benefit the entire community.

With Query Explanations now available, Dune's LLM roadmap is focused on enhancing user experience and empowering the community to harness these powerful technologies. 

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