Why Data, Not Models, Determines AI Success

Enterprises racing to deploy generative AI often focus on models. In practice, outcomes depend on how well organizations ...
TMCnet

Cohesity Secures Earliest Invented Patent in the Industry for GenAI Retrieval-Augmented Generation (RAG) Platform Built on Secondary Data

Cohesity Gaia is available today as part of the Cohesity Data Cloud platform. It enables enterprise teams to unlock insights from years of historical data, accelerate decision-making, and build ...
ascopubs.org

Retrieval-augmented large language models for clinical trial screening.

Exploring AI-generated content and professional guidelines in cancer symptom management: A comparative analysis between ChatGPT and NCCN guidelines. Performance of various RAG-LLMs for clinical trial ...
EurekAlert!

Evaluating open-ended high-stakes exams with LLMs: Alignment between ChatGPT-4o and human grading in high- and low-resource languages

There is a substantial potential to use LLMs as a supplementary grading tools, particularly in high-resource languages, but ...
VentureBeat

Table-augmented generation shows promise for complex dataset querying, outperforms text-to-SQL

AI has transformed the way companies work and interact with data. A few years ago, teams had to write SQL queries and code to extract useful information from large swathes of data. Today, all they ...
Healthcare Asia Magazine on MSN

Asan Medical Centre deploys private AI for data protection

Private AI models are operated exclusively on an organisation’s internal servers. Asan Medical Centre has deployed a Private ...
Crypto Briefing

MIT’s MeMo framework boosts LLM performance by 26% without retraining

MIT's MeMo framework trains a compact memory model that boosts LLM performance by up to 26.73% without retraining, with major implications for crypto AI agents.

MIT's MeMo lets teams swap in a better LLM without retraining — and performance jumps 26%

MIT's MeMo keeps AI memory separate from reasoning, so teams can upgrade their LLM without retraining and see a 26% performance gain, researchers say.
InfoQ

Why Vector Search Alone Isn't Enough: Hybrid Retrieval for RAG

In this article, author Aaditya Chauhan discusses the limitations of RAG pipelines based purely on vector search and how an ...