DeepSeek Coder

SGLang is a structured generation language designed for large language models (LLMs). It makes your interaction with LLMs faster and more controllable by co-designing the frontend language and the runtime system.

The core features of SGLang include:

• A Flexible Front-End Language : This allows for easy programming of LLM applications with multiple ch

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Our training data is pretty much from the same place as everybody else’s — which is pretty much the internet. Pretty much every big AI model just pulls off all the data it can, all the text it can, all the images it can. Scientifically speaking, we’re at an early point in the space, where everyone grabs everything they can, they dump it in a huge f... See more

Welcome to the post-training era for startups

Training LLMs can be divided into two major phases: pre-training and post-training. The pre-training phase is an extremely expensive process that involves training a general model from a large corpus of data. Even in the case of DeepSeek, a single run of training costs $6 million, while it’s estimated th

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Meet Cody We’re building the only AI coding assistant that knows your entire codebase Cody answers technical questions and writes code directly in your IDE, using your code graph for context and accuracy.

The text embedding set trained by Jina AI, Finetuner team.

Intended Usage & Model Info

jina-embeddings-v2-base-en is an English, monolingual embedding model supporting 8192 sequence length.

It is based on a Bert architecture (JinaBert) that supports the symmetric bidirectional variant of ALiBi to allow longer sequence length.

The backbone jina-bert-v2-... See more