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LLM privacy policies take almost 20 minutes to read, Bridewell finds
Bridewell finds popular LLM privacy policies average 20 minutes to read, with many utilizing user data for model training and posing data risks.
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LLM
The model isn’t the variable. The foundation is.
As organisations focus on AI models and hallucinations, they often overlook the real issue: data foundations. This article explores why enterprise AI trust depends on traceable, verifiable data relationships rather than model selection alone.
The cost of AI agents is spiralling. Here’s how to approach LLM cost optimisation
As AI agent adoption grows, enterprises face escalating token consumption and infrastructure costs. This article explores LLM cost optimisation strategies, from micro-agents and smaller models to improved visibility and ROI measurement.
Splunk’s AI infrastructure monitoring is now watching your LLMs – here’s why that matters
LLMs are now production infrastructure. Splunk's new AI monitoring tools offer critical visibility - but beware of indiscriminate data capture.
Security considerations in iterative AI-driven code generation
AI-generated code can accumulate vulnerabilities over time. This article explores the risks of iterative AI development and how to embed security into workflows.
Zyphra announces ZAYA1 model, world’s first to use large-scale training on an AMD platform
AMD has announced that Zyphra has developed ZAYA1, a large-scale mixture-of-experts foundation model trained entirely on AMD Instinct MI300X GPUs, AMD Pensando networking and ROCm open software, powered by IBM Cloud.
AI bias: the hidden business risk companies can’t afford to ignore
From healthcare to finance, AI bias is creating real business risk. Discover how regulation and human oversight can restore trust and fairness.
Oracle’s Larry Ellison outlines AI future built on secure access to private enterprise data
During Oracle’s AI World conference, company Founder and CTO, Larry Ellison, made the case for leveraging enterprise and private data to train and deploy large AI models
Enterprise’s advantage in code may become a thing of the past
Generative AI is changing software development, reducing enterprise dominance in code and opening new opportunities for smaller players
Zoho speeds up AI delivery with Dell AI Factory with Nvidia
Zoho has partnered with Dell Technologies to leverage the Dell AI Factory with Nvidia. Dell said the collaboration will support Zoho’s multimodal large language models (LLMs) and agentic AI tools.
IBM, BharatGen join forces to build AI models for Indian languages
IBM and BharatGen have announced a strategic collaboration to develop advanced AI systems specifically designed for India's diverse linguistic and cultural needs.
AMD claims it can run Llama 4 Scout LLM with 128 billion parameters on a Ryzen AI Max+ laptop
AMD has announced that it's now possible to run the Llama 4 Scout local language model (LLM) with 128 billion parameters on a Ryzen-powered laptop
Today’s large language models may never be good enough for Artificial General Intelligence (AGI)
AI researchers don’t think scaling will let LLMs reach AGI - and say that AI may never be accurate enough to trust
How Google made AlphaFold 3
Google has lifted the lid on how the latest iteration of its protein-structure prediction model, AlphaFold, was built.
How Retrieve-Augment-Generate (RAG) improves generative AI models
In this explainer, Vinay Samuel makes the case for why RAG, or Retrieve-Augment-Generate, is critical in generative AI development
AI chatbots a security risk due to LLMs, says UK’s National Cyber Security Centre
Davey Winder reveals why the UK's cyber security centre is concerned about AI chatbots, and large language models in particular - and what you can do about it.
Generative AI is talking, but is anyone actually listening?
Stop the hype. Generative AI is churning out chum, which makes Claire Reilly wonder one thing: who on Earth is reading this stuff?