AgentRun is a Python library that makes it easy to run Python code safely from large language models (LLMs) with a single line of code. Built on top of the Docker Python SDK and RestrictedPython, it ...
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Generate realistic test data in Python fast. No dataset required
Learn the NumPy trick for generating synthetic data that actually behaves like real data.
OpenAI’s most advanced agentic coding model is natively integrated into JetBrains AI chat in the 2025.3 version of IntelliJ, ...
Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively ...
Abstract: Motivated by hyper-reliable low-latency communication in 6G, we consider error control coding for short block lengths in multi-antenna SIMO flat-fading ...
Overview: LLMs help developers identify and fix complex code issues faster by automatically understanding the full project ...
From the first 5 rows of the dataset, we can see that there are several columns available: species, island, bill_length_mm, bill_depth_mm, flipper_length_mm, body_mass_g, and sex. There also appears ...
Abstract: In the paper, we propose a novel RaptorQ-based unsourced random access (URA) scheme that integrates RaptorQ codes and sparse regression codes (SPARCs) to design access schemes tailored for ...
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