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  • Next-Gen OpenAI Codex Model Neural networks trained for code autocompletion, generate reasonable code from plain text instructions. What's next? Inspired by the rudimentary GPT-3 ability to generate code, the OpenAI researchers decided to focus on specifically training a system, called Codex, to generate code from text. The following video came out as a live demo of the new Next-Gen OpenAI Codex system: "Proficient in more than a dozen programming languages, Codex can now interpret simple commands in natural language and execute them on the user’s behalf—making it possible to build a natural language interface to existing applications." The system is claimed to have a 37% accuracy by the metric that OpenAI group has defined, a 10% improvement compared to the previous model. Details in the research paper: https://arxiv.org/pdf/2107.03374.pdf.

ago @ Multithreaded programming language, compiler and interpreter

The link to the project's repo is telling more than the summary. … (expand)

[reply]

Mindey

ago @ Simple Brainwave Modulation Prototype App

Welcome back, [Niamh]! I'm quite surprised how good a match is your … (expand)

[reply]

Mindey

ago @ Imaginary auction shop

This idea reminds me of some projects on crowdfunding platforms. They only … (expand)

[reply]

Niamhnab

ago @ Personalized Diet

I guess, using neuralink, we could automate that collection of data about … (expand)

[reply]

Mindey

ago @ Personalized Diet

// How to discover what foods are good for each individual? The … (expand)

[reply]

Mindey

ago @ Investomart

Retail buyers (consumers) buying out the producer stocks on a daily basis, … (expand)

[reply]

IdeationGeek

ago @ Personalized Diet

So, would this problem be better named as "Food compatibility matching" or … (expand)

[reply]

Mindey