Bug localisation and source code comprehension are critical domains within software engineering that focus on efficiently identifying and understanding defects in complex codebases. These processes ...

This technique can be used out-of-the-box, requiring no model training or special packaging. It is code-execution free, which ...

Microsoft’s Semantic Kernel SDK makes it easier to manage complex prompts and get focused results from large language models like GPT. At first glance, building a large language model (LLM) like GPT-4 ...

Microsoft shipped the first beta of its Semantic Kernel SDK for AI development, in the process making it service-agnostic by removing OpenAI-specific code. Semantic Kernel acts like an AI ...

Augment Computing Inc., the maker of an agentic artificial intelligence coding tool for developers, today announced the launch of Model Context Protocol support for its service, which will enable AI ...

Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax. For two decades, enterprise transformation has followed a familiar sequence: ...

Disparate BI, analytics, and data science tools result in discrepancies in data interpretation, business logic, and definitions among user groups. A universal semantic layer resolves those ...