Friday, December 16, 2022
HomeData SciencePerplexity AI Improves Twitter Search with BirdSQL

Perplexity AI Improves Twitter Search with BirdSQL



Perplexity AI has been forward of its time by producing search outcomes utilizing a big language mannequin like ChatGPT, however providing even higher factuality, whereas related with the web. Now they’ve provide you with an excellent higher replace. 

Ask any Twitter consumer, they are going to inform you how inconvenient the search characteristic is. Filtering out Tweets by particular individuals about one particular matter is near inconceivable. Perplexity AI is right here to repair that downside of Twitter search with Hen SQL. 

BirdSQL is constructed on the big language mannequin of OpenAI’s API, Twitter API, and PostgresSQL. The mannequin interprets pure language to SQL code via OpenAI’s codex. This makes it simpler to go looking posts on Twitter. You can too seek for particular Tweets of a particular individual by sorting them out by likes and variety of retweets. For instance, you’ll be able to seek for,  “High 10 Tweets about Elon Musk within the final hour” and it gives you exact outcomes. 

Click on right here to test Hen SQL.

What Hen SQL does might sound revolutionary, however that is what the Twitter neighborhood has been asking for a very long time. Former CEO of Twitter, Jack Dorsey additionally known as the engine ‘nice’.

ChatGPT with Web

The part of the web site, “Ask Something”, because the title suggests, means that you can ask something and it generates output whereas additionally citing the sources it retrieved the knowledge from. It was impressed by OpenAI’s WebGPT.

In 2021, OpenAI created WebGPT, which was meant to enhance the factual accuracy of enormous language fashions by connecting them to the net by fine-tuning GPT-3 for open-ended questions. This primarily a glimpse of what ChatGPT would seem like if it was related to the web.

The publish Perplexity AI Improves Twitter Search with BirdSQL appeared first on Analytics India Journal.



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