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 ...

Under the hood, the company uses what it calls the Context Engine, a powerful semantic search capability that improves AI understanding of codebases beyond simple static and keyword searches used by ...

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 ...

Large language models (LLMs) by themselves are less than meets the eye; the moniker “stochastic parrots” isn’t wrong. Connect LLMs to specific data for retrieval-augmented generation (RAG) and you get ...