The sum result of these forces leads us to the truth that AI has now landed inside software engineering teams in ... set of embeddings and retrieval augmented generation (RAG) AI services to ...

Why relying on retrieval-augmented generation and prompt engineering is preferable to investing in model training and ...

Alonside data management frameworks, a holistic approach to data engineering for AI is needed along with data provenance ...

TL;DR: Devin, an AI tool by Cognition AI, claims to autonomously build and fix code but has limitations. Criticized for errors and inefficiency, it completed only a few tasks successfully.

A 'binary big bang' occurred when AI foundation models cracked the natural language barrier, kickstarting a shift in our ...

In turn, that data depends on having the right infrastructure to get that data ready for use with gen-AI.

Natural language prompt engineering and retrieval augmented generation (RAG) will be among the highly sought-after skills when hiring software developers in the AI era. According to Gartner's ...

Microsoft is creating a new engineering group that’s focused on artificial intelligence. Led by former Meta engineering chief ...

The scope of the theme includes research in engineering and computing education and assessment, as well as artificial intelligence/machine learning and the convergence between those areas. One key ...

"I'm starting to see more and more companies where 'AI engineer' is one of the top-paying jobs available for software engineers." Salary trends from Levels.fyi, an online platform that allows tech ...

Aatishkumar Dhami is an innovative software engineer and AI specialist ... and implement RAG (Retrieval-Augmented Generation) systems to enhance AI model performance and knowledge retrieval.