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Evaluating Large Language Models Trained on Code

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Yfredley ·

All public GitHub code was used in training Copilot

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GitHub Copilot, with “public code” blocked, emits my copyrighted code

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Mercury: Ultra-fast language models based on diffusion

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OpenAI Codex

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GitHub Copilot Generated Insecure Code in 40% of Circumstances During Experiment

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Z3 approach to discover that “q_rsqrt” is in Copilot's slur list

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GPT-3 APIs are now in public beta

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A neural network solves and generates mathematics problems by program synthesis

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AlphaFold won’t revolutionise drug discovery

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ML code generation vs. coding by hand: what we think programming will look like

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DeepSeekMath 7B achieved 51.7% on MATH benchmark

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Qwen1.5-110B

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Solving Advent of Code Puzzles with GitHub Copilot: Day 1

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Does RL Incentivize Reasoning in LLMs Beyond the Base Model?

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Yrushingcreek ·

Show HN: Phind Model beats GPT-4 at coding, with GPT-3.5 speed and 16k context

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Yajafari1 ·

A new way to predict when software jobs will become automated

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Yvok ·

Evaluating Large Language Models Trained on Code

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Yaray ·

Evaluating Large Language Models Trained on Code

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Yhomarp ·

Evaluating Large Language Models Trained on Code (paper about GH copilot model)

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Yprakashqwerty ·

Evaluating Large Language Models Trained on Code(GitHub Copilot)

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Yswyx ·

Replit's new Code LLM: Open Source, 77% smaller than Codex, trained in 1 week

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Ytransitivebs ·

GPT-Migrate converts repos from one lang/framework to another

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Ykateklink ·

Refact LLM: New 1.6B code model reaches 32% HumanEval and is SOTA for the size

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YJimmc414 ·

Evaluating Large Language Models Trained on Code

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Yskilled ·

What OpenAI Really Wants

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