Enterprises often find that when they fine-tune models, one effective approach to making a large language model (LLM) fit for purpose and grounded in data is to have the model lose some of its abilities. After fine-tuning, some models âforgetâ how to perform certain tasks or other tasks they already learned. Research from the University of Illinois Urbana-Champaign proposes a new method for retraining models that avoids âcatastrophic forgetting,â in... Read more âș
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A new research paper quietly published last week outlines a breakthrough method that allows large language models (LLMs) to simulate human consumer behavior with startling accuracy, a development that could reshape the multi-billion-dollar market research industry. The technique promises to create armies of synthetic consumers who can provide not just realistic product ratings, but also the qualitative reasoning behind them, at a scale and speed currently unattainable.For years, companies have... Read more âș
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As 50,000 attendees descend on Salesforce's Dreamforce conference this week, the enterprise software giant is making its most aggressive bet yet on artificial intelligence agents, positioning itself as the antidote to what it calls an industry-wide "pilot purgatory" where 95% of enterprise AI projects never reach production.The company on Monday launched Agentforce 360, a sweeping reimagination of its entire product portfolio designed to transform businesses into what it calls "agentic... Read more âș
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Presented by SolidigmAs AI adoption surges, data centers face a critical bottleneck in storage â and traditional HDDs are at the center of it. Data that once sat idle as cold archives is now being pulled into frequent use to build more accurate models and deliver better inference results. This shift from cold data to warm data demands low-latency, high-throughput storage that can handle parallel computations. HDDs will remain the... Read more âș
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Imagine you do two things on a Monday morning.First, you ask a chatbot to summarize your new emails. Next, you ask an AI tool to figure out why your top competitor grew so fast last quarter. The AI silently gets to work. It scours financial reports, news articles and social media sentiment. It cross-references that data with your internal sales numbers, drafts a strategy outlining three potential reasons for the... Read more âș
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Your best data science team just spent six months building a model that predicts customer churn with 90% accuracy. Itâs sitting on a server, unused. Why? Because itâs been stuck in a risk review queue for a very long period of time, waiting for a committee that doesnât understand stochastic models to sign off. This isnât a hypothetical â itâs the daily reality in most large companies. In AI, the... Read more âș
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AI tools are revolutionizing software development by automating repetitive tasks, refactoring bloated code, and identifying bugs in real-time. Developers can now generate well-structured code from plain language prompts, saving hours of manual effort. These tools learn from vast codebases, offering context-aware recommendations that enhance productivity and reduce errors. Rather than starting from scratch, engineers can prototype quickly, iterate faster and focus on solving increasingly complex problems.As. Read more âș
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How a semiconductor veteran turned over a century of horticultural wisdom into AI-led competitive advantage For decades, a ritual played out across ScottsMiracle-Groâs media facilities. Every few weeks, workers walked acres of towering compost and wood chip piles with nothing more than measuring sticks. They wrapped rulers around each mound, estimated height, and did what company President Nate Baxter now describes as âsixth-grade geometry to figure out volume.âToday, drones glide... Read more âș
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Software spending now makes up 40% of cybersecurity budgets, with investment expected to grow as CISOs prioritize real-time AI defenses. Read more âș
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M2N2 is a model merging technique that creates powerful multi-skilled agents without the high cost and data needs of retraining. Read more âș
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This is the inside story of Intuit's transformation journey with AI â including a grueling nine-month pivot to "burn the boats" and reinvent how the 40-year-old finance giant builds its products. Read more âș
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OpenAI's new speech model, gpt-realtime, hopes that its more naturalistic voices would make enterprises use more AI generated voices in applications. Read more âș
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Nous Research launches Hermes 4 open-source AI models that outperform ChatGPT on math benchmarks with uncensored responses and hybrid reasoning capabilities. Read more âș
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Behind Nvidia's strong quarterlyu results are ASICs gaining ground in key Nvidia segments, challenging their growth in the quarters to come. Read more âș
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By using two co-evolving AI models, the R-Zero framework generates its own learning curriculum, moving beyond the need for labeled datasets. Read more âș
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While broader technology spending shows signs of cooling, data platform investments accelerate as enterprises prioritize AI-ready infrastructure. Read more âș
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OpenAI and Anthropic tested each other's AI models and found that even though reasoning models align better to safety, there are still risks. Read more âș
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Salesforce launches CRMArena-Pro, a simulated enterprise AI testing platform, to address the 95% failure rate of AI pilots and improve agent reliability, performance, and security in real-world business deployments. Read more âș
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Memp takes inspiration from human cognition to give LLM agents "procedural memory" that can adapt to new tasks and environments. Read more âș
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Enterprise data teams get vendor-neutral open source document database backed by cloud computing giants . Read more âș
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22.03.2026 14:55
Last update: 14:50 EDT.
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