Forbes

Navigating Data With LLMs - Arguments For And Against Sharing

Visitors check out an infinity chamber seeking to reproduce the atmosphere of a large data centre at the "Futurium", House of Futures in Berlin after the official opening ceremony on September 5, 2019 ...
Forbes

Powering LLMs: Four Considerations When Building A Data Infrastructure

As more organizations implement large language models (LLMs) into their products and services, the first step is to understand that LLMs need a robust and scalable data infrastructure capable of ...
InfoQ

How to Build Effective LLMs When Both Basic Infrastructure and Model Training Data Are Lacking

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
TechRepublic

Cisco Talos Researcher Reveals Method That Causes LLMs to Expose Training Data

In this TechRepublic interview, Cisco researcher Amy Chang details the decomposition method and shares how organizations can protect themselves from LLM data extraction. Cisco Talos AI security ...
TechCrunch

5 steps to ensure startups successfully deploy LLMs

ChatGPT’s launch ushered in the age of large language models. In addition to OpenAI’s offerings, other LLMs include Google’s LaMDA family of LLMs (including Bard), the BLOOM project (a collaboration ...
Ars Technica

How a big shift in training LLMs led to a capability explosion

In April 2023, a few weeks after the launch of GPT-4, the Internet went wild for two new software projects with the audacious names BabyAGI and AutoGPT. “Over the past week, developers around the ...
Yahoo Finance

Custom Large Language Model (LLM) Training Platforms Market Outlook 2026-2030 & 2035 Featuring AWS, NVIDIA, IBM, Microsoft, OpenAI, Databricks, Hugging Face and More

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Computer Weekly

LLMs explained: A developer’s guide to getting started

Since large language models (LLMs) and generative AI (GenAI) are increasingly being embedded into enterprise software, barriers to entry – in terms of how a developer can get started – have almost ...

LLMs believe false statements even after explicit warnings that they’re false

New research on so-called “negation neglect” finds that LLMs in a roughly analogous situation don’t behave that way. They ...
InfoWorld

3 big challenges of commercial LLMs

The high costs of development and training and the lack of pricing transparency put commercial large language models out of reach for many companies. Open source models could change that. Large ...
VentureBeat

How Intuit built custom financial LLMs that cut latency 50% while boosting accuracy—and what enterprise AI teams can learn

Intuit has been on a multi-year journey building its Generative AI Operating System (GenOS) to power AI agents across its platforms which include TurboTax, QuickBooks, Credit Karma and Mailchimp. The ...