Why can't Microsoft's tools do this?

Abstract: Adversarial examples are important to test and enhance the robustness of deep code models. As source code is discrete and has to strictly stick to complex grammar and semantics constraints, ...

The blog recommended that users learn to train their own AI models by downloading the Harry Potter dataset and then uploading text files to Azure Blob Storage. It included example models based on a ...

Your workflow is begging for Linux Mint applets.

According to Jeff Dean on Twitter, sharing specific small snippets of code can effectively demonstrate AI techniques, providing developers with practical and actionable examples to accelerate AI ...

Tools for translating natural language into code promise natural, open-ended interaction with databases, web APIs, and other software systems. However, this promise is complicated by the diversity and ...

Amazon Web Services on Tuesday announced three new AI agents it calls “frontier agents,” including one designed to learn how you like to work and then operate on its own for days. Each of these agents ...

Vibe coding — the fast-growing trend of using generative AI to spin up code from plain-language prompts — is quick, creative, and great for instant prototypes. But many argue that it's not cut out for ...

QR codes are quickly replacing the traditional barcode as the new essential tool shaping modern retail. A decade ago, they were just a simple way to connect in-store and online shopping, but now they ...

As we all know, ChatGPT is a large language model (LLM) that is trained on a wide variety of massive data. It includes data from general knowledge, common sense, reasoning, mathematical problems, ...

Abstract: One of the most effective resources for learning application programming interfaces (APIs) is code examples. The shortage of such examples can pose a significant learning obstacle for API ...