Oneindia

Researcher Anisha Jadhav’s New LLM- Based Framework Aims to Bring Transparency to Agile Story Point Estimation

Anisha Jadhav's SPX framework revolutionizes Agile story point estimation. This AI breakthrough, published by IEEE, offers ...
Devdiscourse

AI hallucinations, bias and data leaks: Expanding LLM risk landscape

However, a new study warns that the same capabilities driving their adoption are also creating a broad and evolving landscape of security, privacy, and ethical risks that existing safeguards are ...
No Jitter

Learning to Live With Your UCaaS LLM, Part 1

(Author’s note: this article in its entirety was written without the help of generative AI (Gen AI) in any way, nor was AI used to generate any graphics, either.) Leveraging the large language models ...
VentureBeat

Fine-tuning vs. in-context learning: New research guides better LLM customization for real-world tasks

Two popular approaches for customizing large language models (LLMs) for downstream tasks are fine-tuning and in-context learning (ICL). In a recent study, researchers at Google DeepMind and Stanford ...
Opinion
EurekAlert!Opinion

Generative AI may cut costs in machine-learning systems, but it increases risks of cyberattacks and data leaks, computer scientist says

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper publishing April 22 in the Cell Press ...

Learning Generative AI is not the first step of learning Generative AI

A misconception is currently thriving in the industry that one can become a Generative AI expert without learning ...
Diginomica

Want better LLM results? Then it's time for AI evaluation tools - learning from Galileo's RAG and agent metrics

A consistent media flood of sensational hallucinations from the big AI chatbots. Widespread fear of job loss, especially due to lack of proper communication from leadership - and relentless overhyping ...
Tech Xplore on MSN

Generative AI may cut costs in machine-learning systems, but it increases risks of cyberattacks and data leaks

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...