Thu.Apr 03, 2025

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Ant Group uses domestic chips to train AI models and cut costs

AI News

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.

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A Comprehensive Guide to RAG Developer Stack

Analytics Vidhya

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.

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Unframe Emerges from Stealth with $50M to Transform Enterprise AI Deployment

Unite.AI

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.

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5 Affordable Cloud Platforms for Fine-tuning LLMs

Analytics Vidhya

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.

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Automation, Evolved: Your New Playbook For Smarter Knowledge Work

Speaker: Frank Taliano

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.

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Bridging the AI Agent Gap: Implementation Realities Across the Autonomy Spectrum

Unite.AI

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?

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Nintendo Switch 2 Leveled Up With NVIDIA AI-Powered DLSS and 4K Gaming

NVIDIA

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.

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How to Evaluate LLMs Using Hugging Face Evaluate

Analytics Vidhya

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.

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Google’s Gemini 2.5 Pro could be the most important AI model so far this year

Flipboard

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.

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Shay Levi, CEO and Co-Founder of Unframe – Interview Series

Unite.AI

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,

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The Ultimate Blueprint for an AI-First Contact Center

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.

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Feeling curious? NotebookLM can now discover data sources for you.

Flipboard

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.

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AI News Weekly - Issue #432: How the U.S. Public and AI Experts View AI - Apr 3rd 2025

AI Weekly

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

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Novel AI tool may help predict autoimmune disease risk ‘as early as birth’

Flipboard

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.

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AI Workforce: using AI and Drones to simplify infrastructure inspections

AWS Machine Learning Blog

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.

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The Intersection of AI and Sales: Personalization Without Compromise

Speaker: Jesse Hunter and Brynn Chadwick

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.

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From Browsing to Buying: How AI Agents Enhance Online Shopping

NVIDIA

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.

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How AWS Sales uses generative AI to streamline account planning

AWS Machine Learning Blog

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.

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7 Free ChatGPT Alternatives to Create Ghibli-Style Images

Analytics Vidhya

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!

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Introduction to MCP: The Ultimate Guide to Model Context Protocol for AI Assistants

Marktechpost

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.

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The New CX: Your Guide to AI Agents

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

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No Foolin’: GeForce NOW Gets 21 Games in April

NVIDIA

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.

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This AI Paper Unveils a Reverse-Engineered Simulator Model for Modern NVIDIA GPUs: Enhancing Microarchitecture Accuracy and Performance Prediction

Marktechpost

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.

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Midjourney releases its first new AI image model in nearly a year

Flipboard

Midjourney, one of the earliest AI image-generating services on the web, has released its first new AI image model in nearly a year.

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NVIDIA Showcases Real-Time AI and Intelligent Media Workflows at NAB

NVIDIA

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.

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How to Achieve High-Accuracy Results When Using LLMs

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

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AI could affect 40% of jobs and widen inequality between nations, UN warns

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Artificial intelligence is projected to reach $4.8 trillion in market value by 2033, but the technology's benefits remain highly concentrated, UNCTAD says.

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UB-Mesh: A Cost-Efficient, Scalable Network Architecture for Large-Scale LLM Training

Marktechpost

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.

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OpenAI just made its first cybersecurity investment

Flipboard

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.

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The Sequence Engineering #524: Why Did MCP Won?

TheSequence

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.

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Zero Trust Mandate: The Realities, Requirements and Roadmap

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.

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An AI-enhanced treatment has reduced Parkinson’s symptoms for some people

Flipboard

Adaptive deep brain stimulation has virtually eliminated the most debilitating motor symptoms for some Parkinsons patients and considerably improved their lives.

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The Rise of Reasoning Models: Unlocking the Next Phase of AI

ODSC - Open Data Science

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.

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World's first light-powered neural processing units (NPUs) could massively reduce energy consumption in AI data centers

Flipboard

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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