Abstract: In order to engage with large language models (LLMs) in a meaningful way, it is necessary to create prompts that are both instructive and precise. However, especially when working with ...

Abstract: This work presents a high-performance Transformer-based model for cross-language semantic code clone detection, leveraging multilingual token embeddings, structural abstraction fusion, and ...

Cloud infrastructures are increasingly managed by Infrastructure-as-Code (IaC) frameworks (e.g., Terraform). IaC frameworks enable cloud users to configure their resources in a declarative manner, ...

Workflow is still at the heart of the new framework. Building on the strengths of the Semantic Kernel and AutoGen agent implementations, the new framework offers support for workflow orchestration and ...

Microsoft’s multi-agent framework, AutoGen, acts as the backbone for many enterprise projects, particularly with the release of AutoGen v0.4 in January. However, the company aims to harmonize all of ...

structured output from the OpenAI service. This model will be used to parse the structured output from the OpenAI service, and ensure that the model correctly outputs the schema based on the Pydantic ...

Understanding and reasoning about code semantics is essential for enhancing code LLMs’abilities to solve real-world software engineering (SE) tasks. Although several code reasoning benchmarks exist, ...

Search engines have come a long way from relying on exact match keywords. Today, they try to understand the meaning behind content — what it says, how it says it, and whether it truly answers the ...

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI company, announced the availability of its hybrid search capabilities for Microsoft’s Semantic Kernel project, making Elastic’s ...

I'm working with the getting started notebook, and made some small modifications to use token-based auth with Azure AD. I'm using a .env file to provide endpoint and ...