


Using OpenAI's new ChatGPT to write a tutorial blog post on plotting with Pandas/Matplotlib, section-by-section, with conversational feedback. (1/3)

By
–



Using OpenAI's new ChatGPT to write a tutorial blog post on plotting with Pandas/Matplotlib, section-by-section, with conversational feedback. (1/3)
By
–
I wonder if it just learned to prefer least-to-most output style implicitly from RLHF because it leads to better answers.
By
–
But entities that create order and get better at doing so, aka living things, are rare…
By
–
It doesn’t have a calculator. The arithmetic it knows is mostly memorization with pattern-matching and guesswork to fill in the gaps, and there’s too many possible equations to memorize them all. Also, tokenization impairs its lexical understanding of numbers.
By
–
Thanks for sharing @_akhaliq! Also checkout our oral session and poster at #NeurIPS2022 MLSys workshop! https://
nips.cc/Conferences/20
22/ScheduleMultitrack?event=62290
…
By
–
Tokenization. It doesn’t see text as sequences of characters, but of variable-length tokens about 4 chars on average. It generally can’t do anything that needs to be done one letter at a time. It’s also bad at counting in its head.

By
–
Hi-Tech World Cup balls charging! For the first time this year, each ball has a motion sensor inside giving real-time ball tracking and statistics. It collects #data such as position, speed and direction, assisting the referees on offside calls Credit: Kinexon
#ml #ai #tech
By
–
Baffled by the number of people (specifically influencers and investors) who still get fooled by ML demos and cherry picked examples engineered for wow effect! Rookie mistake to judge the quality of a model (versus looking at usage, revenue and more tangible evaluations)
By
–
In general, you shouldn't expect it to be able to perform accurate calculations, at least not "in its head" — this is a known limitation of models like GPT-3. It only stands a chance if prompted to write calculations out step-by-step like one might do on paper.