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LightOn and Answer.ai Releases ModernBERT: A New Model Series that is a Pareto Improvement over BERT with both Speed and Accuracy
Since the release of BERT in 2018, encoder-only transformer models have been widely used in natural language processing (NLP) applications due to their efficiency in retrieval and classification tasks. However, these models face notable limitations in contemporary applications. Their sequence length, capped at 512 tokens, hampers their ability to handle long-context tasks effectively. Furthermore, their…
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2024 Was the Year the Bottom Fell Out of the Games Industry
From layoffs to the return of Gamergate, video games—and the people who make and play them—had a rough year.
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Sweat the small stuff: Data protection in the age of AI
As concerns about AI security, risk, and compliance continue to escalate, practical solutions remain elusive. While NIST released NIST-AI-600-1, Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile on July 26, 2024, most organizations are just beginning to digest and implement its guidance, with the formation of internal AI Councils as a first step in…
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Mastering Azure management: A comparative analysis of leading cloud platforms
Azure’s growing adoption among companies leveraging cloud platforms highlights the increasing need for effective cloud resource management. With a wide range of services, including virtual machines, Kubernetes clusters, and serverless computing, Azure requires advanced management strategies to ensure optimal performance, enhanced security, and cost efficiency. Enterprises must focus on resource provisioning, automation, and monitoring to…
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Google DeepMind Introduces FACTS Grounding: A New AI Benchmark for Evaluating Factuality in Long-Form LLM Response
Despite the transformative potential of large language models (LLMs), these models face significant challenges in generating contextually accurate responses faithful to the provided input. Ensuring factuality in LLM outputs is particularly critical in tasks requiring responses grounded in lengthy, complex documents, which form the basis for advancing their applications in research, education, and industry. One…
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Arm lawsuit against Qualcomm ends in mistrial and favorable ruling for Qualcomm
Qualcomm did not violate a license with Arm when it acquired Nuvia for $1.4 billion, in a ruling by a jury today.Read More
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Slim-Llama: An Energy-Efficient LLM ASIC Processor Supporting 3-Billion Parameters at Just 4.69mW
Large Language Models (LLMs) have become a cornerstone of artificial intelligence, driving advancements in natural language processing and decision-making tasks. However, their extensive power demands, resulting from high computational overhead and frequent external memory access, significantly hinder their scalability and deployment, especially in energy-constrained environments such as edge devices. This escalates the cost of operation…
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GAO report says DHS, other agencies need to up their game in AI risk assessment
A new report from the US Government Accountability Office (GAO) appears to indicate that no US federal agency reporting into the Department of Homeland Security (DHS) knows the full extent or probability of harm that AI can do the nation’s critical infrastructure. In the report, released earlier this week, it concluded the DHS needs to…
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2025 Big Data Management Predictions
The GenAI revolution has raised expectations for what enterprises can do with data. But it has also exposed some serious shortcomings in how enterprises manage data. That’s the backdrop against which we will dig into this batch of big data management predictions. Getting access to data has always been a challenge for analytics and AI.…
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Hugging Face shows how test-time scaling helps small language models punch above their weight
Given enough time to “think,” small language models can beat LLMs at math and coding tasks by generating and verifying multiple answers.Read More