A familiar problem that crops up in modern frontend development with React, is the rogue appearance of a 0 in the UI… but why?

“The soul becomes dyed with the colour of its thoughts.”

I’m excited to share with you mind-blowing use cases that showcase just how insanely useful GPT-4o can be.

People develop products, but now there’s an alternative, right?

The author declares that there are no competing interests. The source code of modified Edax is available at GitHub.

We conclude that our study has weakly solved Othello, although we recognize that our achievement is just above the criteria for weakly solving.

We used a dataset including 61,549 game records played between 2001 and 2020. We selected 2,587 positions out of the 2,958,551 positions

Existing Othello software was used to solve the position with 36 empty squares. Edax is based on alpha-beta search and employs many techniques

Get your writing back on track with these 3 ideas

We propose a simple backtracking method to improve model outputs based on the location of logical errors. Backtracking reduces the computational cost

Can we combine functions by using mapping? What about this in relation to function composition and pipelining?

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All models are given the same 3-shot prompts. We use three different prompting methods. Direct trace-level prompting involves using the whole trace as input

BIG-Bench Mistake consists of 2186 sets of CoTstyle traces. Each trace was generated by PaLM 2-L-Unicorn

Once Upon a Time in the World of Code…

Correction and improvement of working with time in JS Date using JS Temporal (Stage 3 Candidate) in practical sandbox

Elevate Your Obsidian Experience: Discover the Best New Plugins for Enhanced Note-Taking and Boost Productivity

Introduction: JavaScript is the driving force behind the dynamic behaviour of web pages. But have you ever wondered how it works under the…

If only you had been honest when you said you loved me, maybe losing you wouldn’t be the painful road I now walk.

The choice has always been yours

In this study, researchers describe three lines of work that seek to improve the training and evaluation of neural models using naturally-occurring supervision.