Search Results for "programming languages learning" - Page 28

Compiler and virtual machine of a new programming language similar to pascal with learning proposals for computer science engineering students.

Blade Language Developer (or Project Blade for short) is a toolkit for creating domain specific or general programming languages. The toolkit offers a language for describing grammars, and templatable parser generator.

For software developers in domains involving statistical analysis, the "R + Java = Inf" project analyses and enhances the interoperability between the R and Java programming languages. The deliverables are source code, documentation and benchmarks.

a distributed engine for abstract neural network development via natural-language programming

...It was trained on the C4 dataset, along with a variety of supervised NLP benchmarks, using both unsupervised denoising and supervised objectives. The model supports multiple languages, including English, French, Romanian, and German. Its flexible architecture and consistent input/output format simplify model reuse and transfer learning across different NLP tasks. T5-base achieves competitive performance across 24 language understanding tasks, as documented in its research paper.

...With 229B parameters, it introduces a self-evolution framework in which the model actively improves its own capabilities by updating memory, generating skills, and iterating through reinforcement learning experiments. This process enables it to autonomously refine systems, achieving measurable performance gains such as a 30% improvement in programming scaffolds. M2.7 excels in real-world engineering scenarios, including debugging, log analysis, system monitoring, and root cause investigation, demonstrating strong system-level reasoning comparable to SRE workflows. ...

NVIDIA Nemotron 3.5 Lightning 30B-A3B NVFP4 is an open large language model optimized for efficient autonomous agents, sub-agent deployments, and local inference. It uses a hybrid Mixture-of-Experts architecture combining Mamba-2, MoE, and selected attention layers, with 30B total parameters but only 3B active during inference. The model supports context windows up to 1 million tokens, enabling long-running workflows and large-context reasoning. Its NVFP4 quantization reduces deployment...