Fri.Mar 07, 2025

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Beyond the Cloud: Exploring the Benefits and Challenges of On-Premises AI Deployment

Unite.AI

When you mention AI, both to a layman and an AI engineer, the cloud is probably the first thing that comes to mind. But why, exactly? For the most part, its because Google, OpenAI and Anthropic lead the charge, but they dont open-source their models nor do they offer local options. Of course, they do have enterprise solutions, but think about itdo you really want to trust third parties with your data?

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What does “PhD-level” AI mean? OpenAI’s rumored $20,000 agent plan explained.

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The AI industry has a new buzzword: "PhD-level AI." According to a report from The Information, OpenAI may be planning to launch several specialized AI "agent" products including a $20,000 monthly tier focused on supporting "PhD-level research." Other reportedly planned agents include a "high-income knowledge worker" assistant at $2,000 monthly and a software developer agent at $10,000 monthly.

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Gou Rao, CEO & Co-Founder of NeuBird – Interview Series

Unite.AI

Goutham (Gou) Rao is the CEO and co-founder of NeuBird , the creators of Hawkeye, the worlds first generative AI-powered ITOps engineer, designed to help IT teams diagnose and resolve technical issues instantly, enabling seamless collaboration between human teams and AI. A serial entrepreneur with a proven track record, Rao has co-founded and successfully exited multiple companies.

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Google Announces "AI Mode" For Search Results That Only Shows You AI Slop

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Put on your sturdiest boots, because the decades-long part of our internet journey over dry land is over. Now it's time to knuckle down and trudge through an endless bog of AI slop. That's because Google, our tech overlords whose search engine is basically the connective tissue of the entire surface web, has announced that it's going to expand its infamously terrible and ad-inundated AI Overviews feature the big unsolicited box that appears above real search results, presenting machine-generate

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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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Top 15 LLM Evaluation Metrics to Explore in 2025

Analytics Vidhya

Understanding LLM Evaluation Metrics is crucial for maximizing the potential of large language models. LLM evaluation Metrics help measure a models accuracy, relevance, and overall effectiveness using various benchmarks and criteria. By systematically evaluating these models, developers can identify strengths, address weaknesses, and refine them for real-world applications.

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When to Use GRUs Over LSTMs?

Analytics Vidhya

To this day, I remember coming across recurrent neural networks in our course work. Sequence data excite you initially, but then confusion sets in when differentiating between the multiple architectures. I asked my advisor, “Should I use an LSTM or a GRU for this NLP project?” His untimely, “It depends,” did nothing to assuage my […] The post When to Use GRUs Over LSTMs?

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Announcing general availability of Amazon Bedrock Knowledge Bases GraphRAG with Amazon Neptune Analytics

AWS Machine Learning Blog

Today, Amazon Web Services (AWS) announced the general availability of Amazon Bedrock Knowledge Bases GraphRAG (GraphRAG), a capability in Amazon Bedrock Knowledge Bases that enhances Retrieval-Augmented Generation (RAG) with graph data in Amazon Neptune Analytics. This capability enhances responses from generative AI applications by automatically creating embeddings for semantic search and generating a graph of the entities and relationships extracted from ingested documents.

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How to Use Mistral OCR for Your Next RAG Model

Analytics Vidhya

Retrieval-Augmented Generation (RAG) systems have revolutionized how we access and utilize vast amounts of data, enabling AI to deliver more informed and context-aware responses. However, their capabilities have largely been confined to digital text, overlooking valuable information in multimodal formats like scanned documents, images, and handwritten notes.

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Install VS Code Extensions Offline: Step-by-Step Guide

SAS Software

This article provides a step-by-step guide on manually installing VS Code extensions when access to the online marketplace is restricted, including downloading.vsix files from GitHub and handling dependencies. The post Install VS Code Extensions Offline: Step-by-Step Guide appeared first on SAS Blogs.

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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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LLMs Are “Just” Coding Assistants — But That Still Changes Everything

Towards AI

Author(s): Towards AI Editorial Team Originally published on Towards AI. Understanding the Role of LLMs in Modern Coding: A Guide for Aspiring Developers The rise of large language models (LLMs) has made AI development more accessible than ever. You can generate text, analyze data, and build AI-driven applications with just a few API calls. This accessibility has lowered the entry barrier, allowing anyone to create sophisticated products.

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DOGE Has Deployed Its GSAi Custom Chatbot for 1,500 Federal Workers

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Elon Musks DOGE team is automating tasks as it continues its purge of the federal workforce.

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NN#11 — Neural Networks Decoded: Concepts Over Code

Towards AI

Author(s): RSD Studio.ai Originally published on Towards AI. Limitations of ANNs: Move to Convolutional Neural Networks This member-only story is on us. Upgrade to access all of Medium. The journey from traditional neural networks to convolutional architectures wasnt just a technical evolution it was a fundamental reimagining of how machines should perceive visual information.

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Microsoft reportedly ramps up AI efforts to compete with OpenAI

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Microsoft is accelerating its push to compete with OpenAI, its longtime collaborator, by developing its own powerful AI models and exploring alternatives to power products like Microsofts Copilot bot.

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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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Anthropic Proposes AI Policy Recommendations to White House for U.S. AI Action Plan

ODSC - Open Data Science

AI research firm Anthropic has submitted a set of strategic recommendations to the White Houses Office of Science and Technology Policy (OSTP) in response to its request for an AI Action Plan. The proposals aim to position the United States as a leader in artificial intelligence while addressing economic and national security concerns. Anthropic projects that powerful AI systems will emerge by late 2026 or early 2027, with capabilities rivaling Nobel Prize-winning experts across multiple discipl

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Mayo Clinic’s secret weapon against AI hallucinations: Reverse RAG in action

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Even as large language models (LLMs) become ever more sophisticated and capable, they continue to suffer from hallucinations: offering up inaccurate information, or, to put it more harshly, lying.

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Best Financial Datasets for AI & Data Science in 2025

ODSC - Open Data Science

In the fast-moving world of AI and data science, high-quality financial datasets are essential for building effective models. Whether its algorithmic trading , risk assessment, fraud detection , credit scoring, or market analysis, the accuracy and depth of financial data can make or break an AI-driven solution. However, not all datasets are created equal.

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AI Thinks It Cracked Kryptos. The Artist Behind It Says No Chance

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Jim Sanborns inbox is flooded with amateur cryptographers who say theyve cracked the code with chatbots like Grok 3.

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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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China’s AI Boom Fuels Market Surge as Alibaba Leads Tech Rally

ODSC - Open Data Science

A wave of AI advancements from China has ignited a surge in the stock market, propelling Chinese tech firms to multi-year highs. Alibaba Group Holding Ltd. led the charge on Thursday after unveiling its latest open-source AI model, significantly outperforming its previous version while using a fraction of the data employed by DeepSeeks R1. The announcement came amid a series of AI developments from major Chinese firms.

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A robot taught these birds a long-lost birdsong

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The song of the chingolo can be heard across South America. But young songbirds were no longer learning the tunes of their eldersuntil scientists stepped in. The song of the male chingolo, or rufous-collared sparrow (Zonotrichia capensis), is one of the most distinctive sounds in South America.

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What is Neuromorphic Computing? A Comprehensive Guide

Pickl AI

Summary: This blog takes you through a detailed learning on Neuromorphic Computing. The technology has long been talked about and holds a promising future. It focusses on making machines work similar to the human brain. It helps machines work on the same pattern as that of the neuron system in the human body. Read ahead to explore more about this technology.

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AI Tool Diagnoses Multiple Diseases From One Blood Sample

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A new artificial intelligence (AI) tool can simultaneously assess blood samples for infections, autoimmune diseases, and vaccine responses, according

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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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Alibaba Researchers Propose START: A Novel Tool-Integrated Long CoT Reasoning LLM that Significantly Enhances Reasoning Capabilities by Leveraging External Tools

Marktechpost

Large language models have made significant strides in understanding and generating human-like text. Yet, when it comes to complex reasoning tasksespecially those that require multi-step calculations or logical analysisthey often struggle. Traditional chain-of-thought (CoT) approaches help by breaking down problems into intermediate steps, but they rely heavily on the models internal reasoning.

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Medical AI tools are growing, but are they being tested properly?

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AI medical benchmark tests fall short because they dont test efficiency on real tasks such as writing medical notes, experts say.

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Google Expands AI Overviews and Introduces AI Mode for Smarter Search

ODSC - Open Data Science

Google is improving its search capabilities with two major updates. AI Overviews now use Gemini 2.0, offering faster and more accurate responses. Additionally, Google is testing a new feature called AI Mode, designed for users who need deeper insights. AI Overviews Upgrade with Gemini2.0 AI Overviews, now used by over a billion people, have received a significant upgrade.

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Superintelligence startup Reflection AI launches with $130M in funding

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Reflection AI Inc., a new startup led by former Google DeepMind researchers, launched today with $130 million in early-stage funding.The company raised the capital over two rounds.

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Beyond the Buzz: How to Turn Marketing Trends into Revenue-Driving Strategies

Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader

Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.

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Taking a Look at The 4 Vs of Big Data

Pickl AI

Summary: The 4 Vs of Big DataVolume, Velocity, Variety, and Veracityshape how businesses collect, analyse, and use data. These factors drive decision-making, AI development, and real-time analytics. Managing Big Data effectively helps companies optimise strategies, improve customer experience, and gain a competitive edge in todays data-driven world.

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How AI Is Leveling the Playing Field For Small Businesses to Compete With Industry Giants

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In 2025, entrepreneurs can use technology to overcome any resource gap they have compared to the competition. The public perception of artificial intelligence often hinges on reducing workforces and replacing workers.

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Microsoft AI Introduces Belief State Transformer (BST): Enhancing Goal-Conditioned Sequence Modeling with Bidirectional Context

Marktechpost

Transformer models have transformed language modeling by enabling large-scale text generation with emergent properties. However, they struggle with tasks that require extensive planning. Researchers have explored modifications in architecture, objectives, and algorithms to improve their ability to achieve goals. Some approaches move beyond traditional left-to-right sequence modeling by incorporating bidirectional context, as seen in models trained on past and future information.

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