CIO
JANUARY 20, 2025
Spending on compute and storage infrastructure for cloud deployments has surged to unprecedented heights, with 115.3% billion, highlighting the dominance of cloud infrastructure over non-cloud systems as enterprises accelerate their investments in AI and high-performance computing (HPC) projects, IDC said in a report. billion.
AWS Machine Learning - AI
APRIL 10, 2025
Training a frontier model is highly compute-intensive, requiring a distributed system of hundreds, or thousands, of accelerated instances running for several weeks or months to complete a single job. For example, pre-training the Llama 3 70B model with 15 trillion training tokens took 6.5 During the training of Llama 3.1
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AWS Machine Learning - AI
NOVEMBER 27, 2024
Across diverse industries—including healthcare, finance, and marketing—organizations are now engaged in pre-training and fine-tuning these increasingly larger LLMs, which often boast billions of parameters and larger input sequence length. This approach reduces memory pressure and enables efficient training of large models.
Palo Alto Networks
OCTOBER 30, 2024
To protect against these unintended outcomes, robust defenses, like adversarial training where models are trained using both clean and adversarial threat signatures, can be deployed to help improve resilience. The post Securing AI Infrastructure for a More Resilient Future appeared first on Palo Alto Networks Blog.
CIO
OCTOBER 24, 2024
While LLMs are trained on large amounts of information, they have expanded the attack surface for businesses. From prompt injections to poisoning training data, these critical vulnerabilities are ripe for exploitation, potentially leading to increased security risks for businesses deploying GenAI.
CIO
NOVEMBER 19, 2024
The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. You pull an open-source large language model (LLM) to train on your corporate data so that the marketing team can build better assets, and the customer service team can provide customer-facing chatbots.
CIO
MARCH 13, 2025
Hes seeing the need for professionals who can not only navigate the technology itself, but also manage increasing complexities around its surrounding architectures, data sets, infrastructure, applications, and overall security. Or bring in a consulting company that can help you build and train at the same time, he adds.
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