Artificial Inteligence Testing Training 
CIO
JULY 24, 2024
Large language models (LLMs) are hard to beat when it comes to instantly parsing reams of publicly available data to generate responses to general knowledge queries. The key to this approach is developing a solid data foundation to support the GenAI model.
CIO
MARCH 5, 2024
India’s Ministry of Electronics and Information Technology (MeitY) has caused consternation with its stern reminder to makers and users of large language models (LLMs) of their obligations under the country’s IT Act, after Google’s Gemini model was prompted to make derogatory remarks about Indian Prime Minister Narendra Modi.
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Palo Alto Networks
APRIL 2, 2024
Artificial intelligence (AI) plays a crucial role in both defending against and perpetrating cyberattacks, influencing the effectiveness of security measures and the evolving nature of threats in the digital landscape. A large language model (LLM) is a state-of-the-art AI system, capable of understanding and generating human-like text.
AWS Machine Learning - AI
FEBRUARY 6, 2024
To support overarching pharmacovigilance activities, our pharmaceutical customers want to use the power of machine learning (ML) to automate the adverse event detection from various data sources, such as social media feeds, phone calls, emails, and handwritten notes, and trigger appropriate actions.
CIO
JUNE 13, 2024
That’s what a number of IT leaders are learning of late, as the AI market and enterprise AI strategies continue to evolve. But purpose-built small language models (SLMs) and other AI technologies also have their place, IT leaders are finding, with benefits such as fewer hallucinations and a lower cost to deploy.
CIO
JANUARY 9, 2024
That quote aptly describes what Dell Technologies and Intel are doing to help our enterprise customers quickly, effectively, and securely deploy generative AI and large language models (LLMs).Many We’re using our own databases, testing against our own needs, and building around specific problem sets.
InfoQ Culture Methods
MARCH 7, 2024
When testing machine learning systems, we must apply existing test processes and methods differently. Machine Learning applications consist of a few lines of code, with complex networks of weighted data points that form the implementation.
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