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Training a SOTA Code LLM in 1 week and Quantifying the Vibes — with Reza Shabani of Replit

Replit has open-sourced its new code-focused large language model, replit-code-v1-3b. This model, which is significantly smaller than OpenAI's Codex, reportedly outperforms it on the HumanEval benchmark when fine-tuned on Replit's data. The release was discussed in an interview with Replit's Head of AI, Reza Shabani, who detailed the journey of training the model and its potential applications for developers. AI

Summary written by None from 1 source. How we write summaries →

RANK_REASON Release of an open-source code LLM from a company that is not a Tier-1 AI lab.

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Training a SOTA Code LLM in 1 week and Quantifying the Vibes — with Reza Shabani of Replit

COVERAGE [1]

  1. Latent Space Podcast TIER_1 · Latent.Space and Alessio Fanelli ·

    Training a SOTA Code LLM in 1 week and Quantifying the Vibes — with Reza Shabani of Replit

    <p><em>Latent Space is popping off! Welcome to the over 8500 latent space explorers who have joined us. Join us this month at </em><a href="https://latent.space/community" target="_blank"><em>various events in SF and NYC</em></a><em>, or start your own!</em></p><p><em>This post s…