Thank you to @ThomasScialom
, @omerlevy_
, @timo_schick and @OHonovich for their work on this paper.
AI
-
Acknowledgment of Paper Contributors and Authors
By
–
-

Scaling Natural Language Instructions to 240K Diverse Examples
By
–
New paper — In ‘Unnatural Instructions’ we propose a new method to automatically generate natural language instructions, allowing us to scale up to 240K diverse instructions & train models that rival the performance of contemporary instruction-tuned models. Read on ArXiv
-

Groq First Vendor with Published Audited AI Benchmarking Results
By
–
Peter Nabicht, President of STAC – Securities Technology Analysis Center, announced that @GroqInc is the first vendor to provide the financial services industry with published audited benchmarking results, making real-time #AI more accessible. Read more at http://
groq.link/stacpr -

Award-Winning Research on Language Grounding in Robotic Affordances
By
–
Congratulations to the authors of “Do As I Can, Not As I Say: Grounding Language in Robotic Affordances” (see the blog at https://
goo.gle/3QRJhgl) for winning the Special Innovation Award at @corl_conf
! #CoRL2022 -
Perplexity AI: Modern Wolfram Alpha with Language Interface
By
–
Yesterday, @amasad said @perplexity_ai gave him a similar search experience to Wolfram Alpha. The ability to go beyond just answers but also plots and visualize is a significant step to building the modern version of Wolfram with a language interface. https://t.co/n2oWvzUFHz
— Aravind Srinivas (@AravSrinivas) 20 décembre 2022Yesterday, @amasad said @perplexity_ai gave him a similar search experience to Wolfram Alpha. The ability to go beyond just answers but also plots and visualize is a significant step to building the modern version of Wolfram with a language interface.
-
LLMs Reliability Limitations and Twitter Indexing Accuracy
By
–
LLMs aren't yet 100% reliable, and our Twitter indexing isn't exhaustive. So Bird SQL may not be accurate on all queries.
— Perplexity (@perplexity_ai) 20 décembre 2022
Help us improve by sharing suggestions and feedback via Twitter, Discord (https://t.co/R4G21AmwQ7), support@perplexity.ai
Also seehttps://t.co/wgT9djadYnLLMs aren't yet 100% reliable, and our Twitter indexing isn't exhaustive. So Bird SQL may not be accurate on all queries. Help us improve by sharing suggestions and feedback via Twitter, Discord (
https://
discord.com/invite/kWJZsxP
DuX
…), support@perplexity.ai Also see -

Bird SQL: Natural Language SQL Statistics and Plotting Tool
By
–
Bird SQL generates insightful statistics and plots directly from natural language with embedded code. Bird SQL is a step towards a modern Wolfram Alpha, powered by LLMs. “top 10 "technology brother" accounts bar plot” being led by @tszzl https://
perplexity.ai/sql?uuid=33a4f
ded-7437-450b-aee5-a7bd3f92e634
… -

Quantum advantage breakthrough achievement announced
By
–
Sounds like a super cool quantum advantage result!
-

Following Strategy for High Engagement Influencers in Tech
By
–
Or, were looking to follow new people who engage often with you – example, “bar plot top 20 @amasad doesn't follow but keeps them engaged” https://
perplexity.ai/sql?uuid=48f55
773-6276-4e22-9e13-287366e34159
…