Abstract: Inspired by recent advances in deep learning, we present the DeepCoder - a Convolutional Neural Network (CNN) based video compression framework. We apply separate CNN nets for predictive and ...
Researchers at Tsinghua University and Microsoft have built SynthSmith, a pipeline that generates training tasks for code models entirely from scratch; no human-written examples needed. Their 7B model ...
Thanks for your outstanding work! When reproducing Deepcoder-1.5B training, we found that for the first few dozen steps, batch/solve_none was always around 30-32, while batch/solve_all and batch/solve ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Ludi Akue discusses how the tech sector’s ...
Artificial Intelligence (AI) is changing how software is developed. AI-powered code generators have become vital tools that help developers write, debug, and complete code more efficiently. Among ...
According to DeepLearning.AI, Together AI and Agentica have launched DeepCoder-14B-Preview, a code generation model designed to rival top-tier reasoning models such as OpenAI’s o1 and DeepSeek-R1, ...
Imagine a scenario where a programmer needs to follow a couple of tried and tested procedures to write code that becomes a part of a bigger program that needs some insightful contribution from another ...
rLLM is an open-source project to fully democratize reinforcement learning (RL) for LLMs and reproduce DeepSeek R1 and OpenAI O1/O3 at scale on real tasks. For all releases, we open source all our ...
The demand for intelligent code generation and automated programming solutions has intensified, fueled by a rapid rise in software complexity and developer productivity needs. While natural language ...