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A workspace for researchers. Discover what to read next, then read it alongside an AI assistant that knows the whole text.
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SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
SWE-bench evaluates language models on 2,294 software-engineering problems drawn from real GitHub issuesthread · 4 and corresponding pull requests across 12 popular Python repositories. Given a codebase and an issue, a model is tasked with generating a patch that resolves the described problem. Resolving issues requires understanding and coordinating changes across multiple functions, classes, and files simultaneously.
Our evaluations show that both state-of-the-art proprietary models and our fine-tuned model SWE-Llama can resolve only the simplest issues…
Know what to read next.
Describe a topic, a method, an open question. A research agent searches the literature and the open web, reads what it finds, and hands back a ranked shortlist — papers and lab blogs together, each with a one-line reason to care.
Medusa: Simple LLM Inference Acceleration Framework
arXiv:2401.10774Multiple decoding heads, no draft model — the closest thing to a drop-in answer.
EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty
arXiv:2401.15077Explains why naive draft–verify breaks down exactly in long-context regimes.
How speculative decoding works in vLLM
vllm.ai · blogThe production tradeoffs you'll actually hit, from the team running it at scale.
Given just a handful of human-written examples of how an API can be used, we let the model annotate a large language-modeling dataset with potential API calls. We then use a self-supervised loss to determine which of these calls actually help the model predict future tokens.
Highlight a sentence. Ask about it.
The assistant has the full text in context. Ask for a derivation, pull definitions side-by-side, or highlight any passage to open a thread that stays pinned to it. Every answer cites its source — click the chip, land on the passage.
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Artifact is built in the open. Read the code, file an issue, send a patch — contributions are very much welcome.
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Every answer your assistant gives traces back to the PDF or page. Click a citation chip, land on the passage.
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Free usage every day · No key required to start · MIT licensed