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The best *code embedding* model in the market right now was just released: Qodo-Embed-1 — There are two flavors: A lite model with 1.5B parameters and a medium model with 7B parameters (Hugging Face links below). If you want to index a large codebase (supports 10M+ lines of code),...

56,584 просмотров • 1 год назад •via X (Twitter)

Комментарии: 11

Фото профиля Santiago
Santiago1 год назад

Here is a link to the Visual Studio Code extension: And here is the link to the JetBrains extension: Here is the Hugging Face link to the Lite model (1.5B): And here is the link to the Medium model (7B):

Фото профиля Rainmaker
Rainmaker2 лет назад

Join me as I put several Machine Learning models head-to-head to see which one can beat the market and deliver strong returns. In this free Substack post I share several models that deliver better returns with much lower drawdown compared to Buy-and-Hold approach.

Фото профиля Itamar Friedman
Itamar Friedman1 год назад

More behind-the-scenes details: relevant data, synthetic data, and fitting training:

Фото профиля Mohamad Muslim
Mohamad Muslim1 год назад

A Tel Aviv company.

Фото профиля Tenkaizen
Tenkaizen1 год назад

That's quite a claim

Фото профиля Tony Rose
Tony Rose1 год назад

How do you make that embedding available if using Claude 3.7 for coding? Or do you switch for coding to Qodo also?

Фото профиля Alian
Alian1 год назад

Is it related to the AlphaCodium paper in some way? How do you compare to solutions that pass the code as context like agentic chat or sourcegraph search / Cody? thanks

Фото профиля SantoshiEspada
SantoshiEspada1 год назад

Entonces ya está resuelto el problema de software?

Фото профиля Santiago
Santiago1 год назад

Nos va a tomar mucho más que un modelo para code embedding para resolver el problema del software.

Фото профиля Lula Mwape
Lula Mwape1 год назад

Very impressive. 👍

Фото профиля div
div1 год назад

@cursor_ai Planning to add this as an embedding option?

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Nothing beats Augment Code answering questions about large codebases. It's a free extension (works in VSCode, JetBrains, and NeoVim), and has a community edition you can run for free forever. Try this experiment: 1. Download any large open-source project from GitHub 2. Augment will index the code 3. Start asking questions about the codebase 4. Do the same using any other coding agent 5. Compare the speed and the depth of the answers you get If you have a small codebase, the differences with other coding agents won't be obvious, but if you are working on a large project, things will click immediately. Suggestion: download the Keras repository (~180,000 lines of code). I know the library well, and the answers I got from Augment were pretty impressive. By the way, Augment is a fully-fledged AI coding assistant. You can use its agent in every imaginable way: • To implement brand new functionality • To make quick edits to your code • To refactor existing functionality • To generate unit tests • To generate documentation • To handle GitHub—pull requests, commits, branching, etc My favorite feature is their "Next Edit" functionality: 1. You edit the code 2. Augment analyzes the change (across the entire codebase!) 3. Augment determines the ripple effects of that change 4. Augment suggests everything you need to update Here is a link to the tool: Thanks to the team at Augment Code for partnering with me on this post.

Santiago

34,974 просмотров • 1 год назад