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 ...

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 ...

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: ...

Databricks, the Data and AI company, today launched Genie Code, an autonomous AI agent that fundamentally changes how data work gets done. Genie Code can carry out complex tasks such as building ...

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 ...