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In recent years, the AI field has been captivated by the success of large language models (LLMs). Initially designed for natural language processing, these models have evolved into powerful reasoning tools capable of tackling complex problems with human-like step-by-step thought process. However, despite their exceptional reasoning abilities, LLMs come with significant drawbacks, including high computational costs and slow deployment speeds, making them impractical for real-world use in resource
The actual text for the post content appears below. Text will appear on the homepage, i.e., [link] but we only show part of theac posts on the homepage. The rest is accessed via clicking 'Continue'. This is enforced with the `more` excerpt separator. --> PLAID is a multimodal generative model that simultaneously generates protein 1D sequence and 3D structure, by learning the latent space of protein folding models.
Spot AI has introduced Iris , which the company describes as the worlds first universal video AI agent builder for enterprise camera systems. The tool allows businesses to create customised AI agents through a conversational interface, making it easier to monitor and act on video data from physical settings without the need for technical expertise. Designed for industries like manufacturing, logistics, retail, construction, and healthcare, Iris builds on Spot AIs earlier launch of out-of-the-box
Imagine having a casual chat online, assuming you’re speaking to a real person. But what if its not? What if, behind the screen, its an AI model trained to sound human? In a recent 2025 study, researchers from UC San Diego found that large language models like GPT-4.5 could convincingly pass as human, sometimes more […] The post AI Passes the Turing Test: How Are LLMs Like GPT-4.5 Fooling Humans?
Document-heavy workflows slow down productivity, bury institutional knowledge, and drain resources. But with the right AI implementation, these inefficiencies become opportunities for transformation. So how do you identify where to start and how to succeed? Learn how to develop a clear, practical roadmap for leveraging AI to streamline processes, automate knowledge work, and unlock real operational gains.
People in Japan treat cooperative artificial agents with the same level of respect as they do humans, while Americans are significantly more likely to exploit AI for personal gain, according to a new study published in Scientific Reports by researchers from LMU Munich and Waseda University Tokyo. As self-driving vehicles and other AI autonomous robots become increasingly integrated into daily life, cultural attitudes toward artificial agents may determine how quickly and successfully these techn
Recent advances in Large Language Models (LLMs) enable exciting LLM-integrated applications. However, as LLMs have improved, so have the attacks against them. Prompt injection attack is listed as the #1 threat by OWASP to LLM-integrated applications, where an LLM input contains a trusted prompt (instruction) and an untrusted data. The data may contain injected instructions to arbitrarily manipulate the LLM.
Recent advances in Large Language Models (LLMs) enable exciting LLM-integrated applications. However, as LLMs have improved, so have the attacks against them. Prompt injection attack is listed as the #1 threat by OWASP to LLM-integrated applications, where an LLM input contains a trusted prompt (instruction) and an untrusted data. The data may contain injected instructions to arbitrarily manipulate the LLM.
Generative AI is reshaping global competition and geopolitics, presenting challenges and opportunities for nations and businesses alike. Senior figures from Boston Consulting Group (BCG) and its tech division, BCG X, discussed the intricate dynamics of the global AI race, the dominance of superpowers like the US and China, the role of emerging “middle powers,” and the implications for multinational corporations.
It's a fact of life that automation can make us lazier. Usually, the tradeoffs are worth it. But it feels more pernicious with AI Chatbots, which offer to basically automate thinking itself. Th at's what Sam Schechner, a tech reporter for The Wall Street Journal , began to wise up to after developing a nasty ChatGPT habit. "Artificial intelligence was eating my brain," he wrote in a recent essay for the newspaper.
Have you ever stared at a massive document with the deadline looming and thought, Theres no way Im getting through all of this? Weve all been there, drowning in tabs, buried under PDFs, and juggling half-finished Google Docs. Whether you're a student piecing together a paper , a creator wrestling with research , or a professional trying to make sense of endless reports, the chaos is real.
At a time when major AI companies make the slightest of an update in their interface – a breakthrough moment; Meta AI has redefined this culture. Launching not one but THREE models on the same day under the Llama 4 herd. Llama 4 consists of three models: Scout, Maverick, and Behemoth. Each is designed with […] The post Llama 4 Models: Meta AI is Open Sourcing the Best!
Start building the AI workforce of the future with our comprehensive guide to creating an AI-first contact center. Learn how Conversational and Generative AI can transform traditional operations into scalable, efficient, and customer-centric experiences. What is AI-First? Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
Alibaba Cloud has expanded its AI portfolio for global customers with a raft of new models, platform enhancements, and Software-as-a-Service (SaaS) tools. The announcements, made during its Spring Launch 2025 online event, underscore the drive by Alibaba to accelerate AI innovation and adoption on a global scale. The digital technology and intelligence arm of Alibaba is focusing on meeting increasing demand for AI-driven digital transformation worldwide.
Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. Although an individual LLM can be highly capable, it might not optimally address a wide range of use cases or meet diverse performance requirements. The multi-LLM approach enables organizations to effectively choose the right model for each task, adapt to different domains, and optimize for specific cost, latency, or quality needs.
Canada has a remarkable claim to fame in the realm of artificial intelligence. While the United States and China dominate the global stage with massive venture capital flows and booming tech giants, Canadians can point to many of AIs pioneering mindsfrom Geoffrey Hinton, often hailed as the Godfather of Deep Learning , to Ilya Sutskever, co-founder of OpenAI, and Joelle Pineau, formerly a leading research director at Meta AI until his announced departure all with roots in Canadian labs and univ
AI tools are changing how developers work, and Devin 2.0 is part of that shift. Built by Cognition AI, it improves on the previous version in many ways. Devin 2.0 is faster, more efficient, and easier to use. It supports planning, coding, debugging, and task execution with simple prompts. Unlike the earlier version, it now […] The post Devin 2.0 Explained: Features, Use Cases, and How It Compares to Windsurf and Cursor appeared first on Analytics Vidhya.
Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.
Deep Cogito has released several open large language models (LLMs) that outperform competitors and claim to represent a step towards achieving general superintelligence. The San Francisco-based company, which states its mission is “building general superintelligence,” has launched preview versions of LLMs in 3B, 8B, 14B, 32B, and 70B parameter sizes.
AI is an extraordinary tool that amplifies our cognitive capacity. It can analyze, summarize, and generate content faster than any human. However, AI is only ever as good as the questions we ask it. It will never replace our capacity for thinking, and can, in fact, reinforce bias because it is learning what we teach it. For this reason, the top skills of the future include thinking skills.
Once upon a time, the tech clarion call was cellphones for everyone and indeed mobile communications have revolutionized business (and the world). Today, the equivalent of that call is to give everyone access to AI applications. But the real power of AI is in harnessing it for the specific needs of businesses and organizations. The path blazed by Chinese startup DeepSeek demonstrates how AI can indeed be harnessed by everyone, especially those with limited budgets, in order to meet their speci
Market research is the backbone of customer-driven decision-making, yet gathering reliable insights has never been more challenging. Recruiting and managing a representative sample takes up 60% of a research projects time, but despite these efforts, response rates continue to decline, panel fatigue is growing, and operational costs are rising. At the same time, evolving privacy […] The post Transforming Market Research with Synthetic Panels appeared first on Analytics Vidhya.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
AI is driving a new revolution across a number of industries and the supply chain is no exception. AI has been the most transformative technology of the decade, and its no secret it has helped supply chains become more efficient, resilient, and responsive, while allowing organisations to become more efficient and ensuring workforces to focus on more strategic growth.
Even as tariffs loom, big tech companies still plan to splash tons of money on AI infrastructure. But the return they're getting on these moonshot investments should give you pause. In numbers, Microsoft, Meta, Google, and Amazon combined will spend more than $270 billion in capital expenditures to build AI data centers in 2025 alone, according to a Citigroup estimate cited by The Wall Street Journal.
In the past few years, the AI world has shifted from a culture of open collaboration to one dominated by closely guarded proprietary systems. OpenAI a company literally founded with open in its name pivoted to keeping its most powerful models secret after 2019. Competitors like Anthropic and Google similarly built cutting-edge AI behind API walls, accessible only on their terms.
We all depend on LLMs for our everyday activities, but quantifying “How efficient they are” is a gigantic challenge. Conventional metrics such as BLEU, ROUGE, and METEOR tend to fail in comprehending the real meaning of the text. They are too keen on matching similar words instead of comprehending the concept behind it. BERTScore reverses […] The post BERTScore: A Contextual Metric for LLM Evaluation appeared first on Analytics Vidhya.
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
Financial platforms today enable users to access almost every financial service or product online from the convenience of their homes. The fintech revolution has been gaining momentum over the years, helping companies provide robust services and solutions to customers without the limitation of geographical distances. While a lot of emerging technologies are playing a role in the evolution of the finance industry, the AI revolution is one of the most prominent.
It's no secret that Elon Musk's wealth is staggering. At the time of writing, he's worth over $325 billion. To give that number a sense of scale, that's $62 billion more than the total annual salary of every worker in Michigan combined all 4.3 million of them. So why is he powering his data centers with rinky-dink portable generators? New aerial surveillance footage obtained by the Southern Environmental Law Center has found that Musk's artificial intelligence company, xAI, is using 35 methane
Artificial Intelligence (AI) is advancing rapidly, with its applications spreading across industries such as healthcare, finance, education, and entertainment. Among the most exciting areas for AI is scientific research. AI's ability to process vast data, recognize complex patterns, and make predictions is accelerating the pace at which scientific discoveries are made.
In a recent YouTube interview, OpenAI’s CEO Sam Altman sat down with Varun Mayya to talk about how AI is changing the world. They discussed – how people are using AI to create amazing images, how jobs in design and tech are evolving, and why India is one of the fastest-growing markets for AI tools. […] The post 11 Insights from Sam Altman on the Future of AI, Jobs, and India appeared first on Analytics Vidhya.
The guide for revolutionizing the customer experience and operational efficiency This eBook serves as your comprehensive guide to: AI Agents for your Business: Discover how AI Agents can handle high-volume, low-complexity tasks, reducing the workload on human agents while providing 24/7 multilingual support. Enhanced Customer Interaction: Learn how the combination of Conversational AI and Generative AI enables AI Agents to offer natural, contextually relevant interactions to improve customer exp
The UK government has announced the first meeting of a new AI Energy Council aimed at ensuring the nation’s AI and clean energy goals work in tandem to drive economic growth. The inaugural meeting of the council will see members agree on its core objectives, with a central focus on how the government’s mission to become a clean energy superpower can support its commitment to advancing AI and compute infrastructure.
Little love has been lost between billionaire Elon Musk and OpenAI. Musk co-founded the company in 2015 alongside current CEO Sam Altman, only to rage quit roughly three years later, citing disagreements with the group's direction. Since then, in a flurry of personal attacks and disparaging comments, the mercurial Musk has taken it out on the firm, accusing it of failing to uphold its open-source roots.
The fast-food industry is evolving, and technology is at the center of this transformation. Wendys , in partnership with Google Cloud , has introduced FreshAI , an AI-powered ordering system designed to make drive-thru service faster, more accurate, and more efficient. This innovation goes beyond convenience and aims to enhance the ordering experience by reducing errors, streamlining service, and personalizing interactions.
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