naturallanguageprocessing
By Computerworld Spain staff Spain plans to build a foundational AI large language model trained in Spanish and in the country’s co-official languages, Prime Minister Pedro Sánchez announced on the eve of the Mobile World Congress event in Barcelona. The Spanish LLM will be transparent and open source, he said. While some AI models are trained on texts in multiple languages, more advanced AI features from US-based tech companies are often initially only available in English. That’s the case with Google Gemini, for example, which supports more than 40 languages but offers advanced features only...
Computer World
By Lucas Mearian The Dow Jones Industrial Average shot up more than 450 points on Thursday, rocketing past 39,000 for the first time — with much of that gain attributed to one company’s earnings buoyed by artificial intelligence and cloud tech. Nvidia’s fourth-quarter earnings report also pushed the S&P 500 to a new record and its best single-day gain of the past year. “Nvidia’s robust operating performance demonstrates its uniquely strong platform offerings for generative AI transformation that is seeing increasing adoption across industries and use cases,” said Raj Joshi, senior vice preside...
Computer World
By Lucas Mearian As more organizations turn to generative artificial intelligence (genAI) tools to transform massive amounts of unstructured data and other assets into usable information, being able to find the most relevant content during the AI generation process is critical. Retrieval augmented generation or “RAG” for short, is a technology that can do just that by creating a more customized genAI model that enables more accurate and specific responses to queries. Large language models (LLMs), also called deep-learning models, are the basis of genAI technology; they’re pre-trained on vast a...
Computer World
By David Linthicum I’ve been working with artificial intelligence systems since the 1980s. Back then, AI was considered a revolution in leveraging computer systems to achieve unheard-of capabilities. Things are much the same today with generative AI (genAI). But to avoid the mistakes made during the first generations of AI systems, businesses must understand what AI is valid for and what it is not. It’s 1988, all over againAttempting to compare 1980s vintage AI, including Lisp and M1, to today’s machine learning and genAI capabilities is a bit unfair. Back then, AI systems cost many millions o...
Info World
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