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In this 25th episode of the Bittensor Guru, I interview Subnet 22 Datura developer Giga. Datura queries a plethora of sources directly and uses it's own "smart scrape" technology to provide highly relevent responses to user queries at https://datura.ai including leveraging an LLM to provide a summary of results. We discuss their functionality, incentive mechanism and roadmap.
https://datura.ai
https://twitter.com/KeithSingery
https://taostats.io/validators/bittensor-guru-podcast/
By Keith Singery5
1212 ratings
In this 25th episode of the Bittensor Guru, I interview Subnet 22 Datura developer Giga. Datura queries a plethora of sources directly and uses it's own "smart scrape" technology to provide highly relevent responses to user queries at https://datura.ai including leveraging an LLM to provide a summary of results. We discuss their functionality, incentive mechanism and roadmap.
https://datura.ai
https://twitter.com/KeithSingery
https://taostats.io/validators/bittensor-guru-podcast/

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