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Subquadratic
Overview
SubQ is a sub-quadratic language learning model, the first of its kind, developed by Subquadratic Inc. It is designed specifically for long-context tasks.
The model's primary feature is its ability to reason across a vast amount of tokens - up to 12 million - without compromising on the quality of output.
This capability allows SubQ to work across extensive repositories, long histories, and persistent states, a functionality that may satisfy needs of operations dealing with large data sets and lengthy procedures, such as processing complete Python source code libraries or months of PRs.
\ SubQ revolutionizes the traditional language learning models architecture by implementing a fully sub-quadratic sparse-attention design. Most traditional models process all possible relationships between words, which tends to waste computational resources as only a fraction of these relationships are relevant.
SubQ, on the other hand, only focuses on the connections that matter, ensuring efficient usage of computational resources. \ SubQ also boasts about its pricing being significantly more affordable than other leading language learning models.
For developers and teams, the product offers an API for processing entire repositories and pipeline states in a single API call at a linear cost. For coding agents like Claude Code, Codex, and Cursor, it provides a long-context layer to map codebases, gather context, and answer token-heavy questions faster.
\ Subquadratic Inc. is a frontier AI research and infrastructure company known for challenging the traditional transformer model designs and pushing for a foundational change at the model architecture level to enable large-context, multi-modal inference that scales efficiently.
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Building reliable, interpretable AI systemsBibash Katel🙏 69 karmaJul 16, 2024@ClaudeThe most humanly AI i have used so far but the problem is as soon as you start piling up messages in single chat session , it starts getting slow and at some point it starts freezing and also uses a lot of resources. For time being its okay to do 3 4 messages but as soon as we continue it has messages limitation and also starts getting very very slow . For the price of £18 per month this is unacceptable and with the newly introduced feature called project, if we start new chat within the project we cannot continue with the context we provided in other chats within same project. There are lot of improvements for them to work on. And to start with the its speed and its price -
Gemini: Google's most capable AI model yet -
Frontier AI in your handsI just used for a couple of scientific tasks and its output was as good as ChatGPT 4 and Gemini Pro. This is an interesting tool and I will be exploring it further -
Run powerful AI models locally on your machine. -
Open-source AI models for customization and deployment.A huge disappointment. It fails standard tasks that Sonnet 3.5 completes with no issue. I’ll be skipping this version. -
Chat with the world's most responsible AI model.
