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Ant Group is relying on Chinese-made semiconductors to train artificial intelligence models to reduce costs and lessen dependence on restricted US technology, according to people familiar with the matter. The Alibaba-owned company has used chips from domestic suppliers, including those tied to its parent, Alibaba , and Huawei Technologies to train large language models using the Mixture of Experts (MoE) method.
Building a RAG (Retrieval-Augmented Generation) application isnt just about plugging in a few toolsits about choosing the right stack that makes retrieval and generation not just possible but efficient and scalable. Lets say youre working on something like Smart Chat with PDFan AI app that lets users interact with PDFs conversationally. Its not as simple […] The post A Comprehensive Guide to RAG Developer Stack appeared first on Analytics Vidhya.
Unframe , a next-generation enterprise AI platform, has officially emerged from stealth with a $50 million funding round led by Bessemer Venture Partners , alongside TLV Partners , Craft Ventures , Third Point Ventures , SentinelOne Ventures , and Cerca Partners. The funding marks a significant milestone for Unframe as it accelerates global expansion, fuels R&D, and scales delivery of its turnkey AI solutions that are already gaining traction with leading enterprises around the world.
Fine-tuning large language models is no small featit demands high-performance GPUs, vast computational resources, and often, a wallet-draining budget. But what if you could get the same powerful infrastructure for a fraction of the cost? Thats where affordable cloud platforms come in. Instead of paying premium rates on AWS, Google Cloud, or Azure, smart AI […] The post 5 Affordable Cloud Platforms for Fine-tuning LLMs appeared first on Analytics Vidhya.
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.
Recent survey data from 1,250+ development teams reveals a striking reality: 55.2% plan to build more complex agentic workflows this year, yet only 25.1% have successfully deployed AI applications to production. This gap between ambition and implementation highlights the industry's critical challenge: How do we effectively build, evaluate, and scale increasingly autonomous AI systems?
As AI agents take on more complex tasks, simply building them isnt enough; managing their performance, reliability, and efficiency is just as crucial. Thats where Agent Ops comes in. It helps organizations monitor, optimize, and scale AI agents, ensuring they work seamlessly and adapt to real-world challenges. From AI tools for Agent Ops to agent […] The post Top 10 Tools for Agent Ops appeared first on Analytics Vidhya.
As AI agents take on more complex tasks, simply building them isnt enough; managing their performance, reliability, and efficiency is just as crucial. Thats where Agent Ops comes in. It helps organizations monitor, optimize, and scale AI agents, ensuring they work seamlessly and adapt to real-world challenges. From AI tools for Agent Ops to agent […] The post Top 10 Tools for Agent Ops appeared first on Analytics Vidhya.
The Nintendo Switch 2, unveiled April 2, takes performance to the next level, powered by a custom NVIDIA processor featuring an NVIDIA GPU with dedicated RT Cores and Tensor Cores for stunning visuals and AI-driven enhancements. With 1,000 engineer-years of effort across every element from system and chip design to a custom GPU, APIs and world-class development tools the Nintendo Switch 2 brings major upgrades.
Evaluating large language models (LLMs) is essential. You need to understand how well they perform and ensure they meet your standards. The Hugging Face Evaluate library offers a helpful set of tools for this task. This guide shows you how to use the Evaluate library to assess LLMs with practical code examples. Understanding the Hugging […] The post How to Evaluate LLMs Using Hugging Face Evaluate appeared first on Analytics Vidhya.
Google released its new Gemini 2.5 Pro Experimental AI model late last month, and its quickly stacked up top marks on a number of coding, math, and reasoning benchmark testsmaking it a contender for the worlds best model right now. Gemini 2.5 Pro is a reasoning model, meaning its answers derive from a mix of training data and real-time reasoning performed in response to the user prompt or question.
Shay Levi is the Co-Founder and CEO of Unframe, a company redefining enterprise AI with scalable, secure solutions. Previously, he co-founded Noname Security and led the company to its $500M acquisition by Akamai in just four years. A proven innovator in cybersecurity and technology, he specializes in building transformative solutions. Unframe is an all-in-one enterprise AI platform headquartered in Cupertino, California, that enables businesses to bring any unique AI use case to life in hours,
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.
Most of Google's AI efforts thus far have involved adding generative features to existing products, but NotebookLM is different. Created by the Google Labs team, NotebookLM uses AI to analyze user-provided documents. Starting today, it will be even easier to use NotebookLM to explore topics, as Google has added a "Discover Sources" feature to let the app look up its own sources.
Powered by metronome.com Welcome Interested in sponsorship opportunities? Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co In the News How the U.S. Public and AI Experts View AI The public and experts are far apart in their enthusiasm and predictions for AI. But they share similar views in wanting more personal control and worrying regulation will fall short pewresearch.org Sponsor The proven playbook for launching usage-based pricing Thinki
A risk prediction score that uses machine learning and a patient’s genetic information may identify autoimmune conditions up to 1,000% more accurately than current models, according to findings published in Nature Communications.
Inspecting wind turbines, power lines, 5G towers, and pipelines is a tough job. Its often dangerous, time-consuming, and prone to human error. Thats why we at Amazon Web Services (AWS) are working on AI Workforcea system that uses drones and AI to make these inspections safer, faster, and more accurate. This post is the first in a three-part series exploring AI Workforce, the AWS AI-powered drone inspection system.
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.
Editors note: This post is part of the AI On blog series, which explores the latest techniques and real-world applications of agentic AI, chatbots and copilots. The series also highlights the NVIDIA software and hardware powering advanced AI agents, which form the foundation of AI query engines that gather insights and perform tasks to transform everyday experiences and reshape industries.
Every year, AWS Sales personnel draft in-depth, forward looking strategy documents for established AWS customers. These documents help the AWS Sales team to align with our customer growth strategy and to collaborate with the entire sales team on long-term growth ideas for AWS customers. These documents are internally called account plans (APs). In 2024, this activity took an account manager (AM) up to 40 hours per customer.
The hype around Ghibli-style AI-generated art has exploded with the introduction of GPT-4os image generation capabilities. Social media platforms are flooded with dreamy, nostalgic visuals reminiscent of Studio Ghibli films. However, the massive demand has overwhelmed OpenAIs servers, leading to long wait times – even for paid users. But dont worry!
The Model Context Protocol (MCP) is an open standard (open-sourced by Anthropic) that defines a unified way to connect AI assistants (LLMs) with external data sources and tools. Think of MCP as a USB-C port for AI applications a universal interface that allows any AI assistant to plug into any compatible data source or service. By standardizing how context is provided to AI models, MCP breaks down data silos and enables seamless, context-rich interactions across diverse systems.
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
GeForce NOW isnt fooling around. This month, 21 games are joining the cloud gaming library of over 2,000 titles. Whether chasing epic adventures, testing skills in competitive battles or diving into immersive worlds, members can dive into Aprils adventures arrivals, which are truly no joke. Get ready to stream, play and conquer the eight games available this week.
GPUs are widely recognized for their efficiency in handling high-performance computing workloads, such as those found in artificial intelligence and scientific simulations. These processors are designed to execute thousands of threads simultaneously, with hardware support for features like register file access optimization, memory coalescing, and warp-based scheduling.
Real-time AI is unlocking new possibilities in media and entertainment, improving viewer engagement and advancing intelligent content creation. At NAB Show, a premier conference for media and entertainment running April 5-9 in Las Vegas, NVIDIA will showcase how emerging AI tools and the technologies underpinning them help streamline workflows for streamers, content creators, sports leagues and broadcasters.
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
Artificial intelligence is projected to reach $4.8 trillion in market value by 2033, but the technology's benefits remain highly concentrated, UNCTAD says.
As LLMs scale, their computational and bandwidth demands increase significantly, posing challenges for AI training infrastructure. Following scaling laws, LLMs improve comprehension, reasoning, and generation by expanding parameters and datasets, necessitating robust computing systems. Large-scale AI clusters now require tens of thousands of GPUs or NPUs, as seen in LLAMA-3s 16K GPU training setup, which took 54 days.
Generative AI has vastly expanded the toolkit available to hackers and other bad actors. Its now possible to do everything from deepfaking a CEO to creating fake receipts. OpenAI, the biggest generative AI startup of them all, knows this better than anyone.
Anthropic’s Model Context Protocol(MCP) is everywhere! The protocol has rapidly evolved into the canonical standard for context serialization and exchange, displacing earlier contenders such as OpenAPI, GraphQL, and a host of proprietary alternatives. This essay critically examines the architecture, adoption dynamics, and ecosystem alignment that enabled MCP to prevail, providing a comprehensive analysis of its role as the foundational layer in modern Agent AI infrastructure.
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.
Adaptive deep brain stimulation has virtually eliminated the most debilitating motor symptoms for some Parkinsons patients and considerably improved their lives.
In the fast-moving world of artificial intelligence, its easy to feel like the goalposts are constantly shifting. Just as we grow familiar with one generation of large language models (LLMs), a new wave of innovation arrives. The latest? Reasoning modelstools designed not just to generate language, but to think through problems with greater depth and precision.
Q.ANT's new chip uses photon power in a bid to solve AI's big energy issue. It's also 50 times faster than silicon-based equivalents, the company says.
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