GitHub

Multimodal Understanding and Generation via Instruction Tuning

🔥 Core Discovery: Visual generation capability naturally arises from understanding! With just 200K samples + co-training, LLMs can be taught to generate visual embeddings without extensive ...
GitHub

circuit-synth

What is Code-Based Circuit Design? Circuit-synth brings software engineering practices to hardware design by letting you define circuits in Python code instead of ...
IEEE

On the Effectiveness of Automatic Code Generation for Synthetic Dataset Creation

Abstract: This paper compares synthetic and real-world code datasets for machine learning applications in cybersecurity by examining the relationships between machine code and Low-Level Virtual ...
ZDNet

OpenAI's new Spark model codes 15x faster than GPT-5.3-Codex - but there's a catch

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...
IEEE

Model-Agnostic Empirical Evaluation of Test-Driven Prompt Engineering on Improving Accuracy and Efficiency in Large Language Models Python Code Generation

Abstract: Although Large Language Models (LLMs) are widely adopted for code generation, the generated code can be semantically incorrect, requiring iterations of evaluation and refinement. Test-driven ...