Artificial intelligence (AI) is one of the fastest-growing industries, requiring a lot of power to run. Server hosting, training and storing information, among other essential tasks, contribute to this demand. Every query has a cost, and recent…
Category: AI
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AI-Driven Cloud Cost Optimization: Strategies and Best Practices
As companies increasingly migrate workloads to the cloud, managing associated costs has become a critical factor. Research indicates that approximately one-third of public cloud spending produces no useful work, with Gartner estimating this waste…
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Take a Tour of All the Essential Features in ChatGPT
Hello WIRED subscribers! Thank you to everyone who attended our most recent AI Unlocked webinar. I really enjoyed our lively discussion about ChatGPT’s software features and wish I could have answered even more of your questions about using
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AI and Behavioral Finance: Predicting Investor Behavior
AI and Behavioral Finance: Predicting Investor Behavior
Artificial intelligence (AI) has made huge strides in the financial sector, especially in the area of behavioral finance. Traditional finance assumed rational decision-making, but we know…
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Research Suggests LLMs Willing to Assist in Malicious ‘Vibe Coding’
Over the past few years, Large language models (LLMs) have drawn scrutiny for their potential misuse in offensive cybersecurity, particularly in generating software exploits.
The recent trend towards ‘vibe coding’ (the casual use of language…
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The Dream of the Metaverse Is Dying. Manufacturing Is Keeping It Alive
It used to be that when BMW would refit a factory to build a new car, the only way the automaker could check if the chassis would fit through the production line was to fly a team out and physically push the body through the process, making note…
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How the Model Context Protocol (MCP) Standardizes, Simplifies, and Future-Proofs AI Agent Tool Calling Across Models for Scalable, Secure, Interoperable Workflows Traditional Approaches to AI–Tool Integration
Before MCP, LLMs relied on ad-hoc, model-specific integrations to access external tools. Approaches like ReAct interleave chain-of-thought reasoning with explicit function calls, while Toolformer trains the model to learn when and…
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Scaling Reinforcement Learning Beyond Math: Researchers from NVIDIA AI and CMU Propose Nemotron-CrossThink for Multi-Domain Reasoning with Verifiable Reward Modeling
Large Language Models (LLMs) have demonstrated remarkable reasoning capabilities across diverse tasks, with Reinforcement Learning (RL) serving as a crucial mechanism for refining their deep thinking abilities. While RL techniques…
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Multimodal Queries Require Multimodal RAG: Researchers from KAIST and DeepAuto.ai Propose UniversalRAG—A New Framework That Dynamically Routes Across Modalities and Granularities for Accurate and Efficient Retrieval-Augmented Generation
RAG has proven effective in enhancing the factual accuracy of LLMs by grounding their outputs in external, relevant information. However, most existing RAG implementations are limited to text-based corpora, which restricts their…
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10 Best AI Observability Tools (May 2025)
The artificial intelligence observability market is experiencing explosive growth, projected to reach $10.7 billion by 2033 with a compound annual growth rate of 22.5%. As AI adoption accelerates—with 78% of organizations now using AI in at…
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