Sat.Mar 08, 2025

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Traditional RAG to Graph RAG: The Evolution of Knowledge Retrieval Systems in Artificial Intelligence

Analytics Vidhya

The change from traditional retrieval-augmented generation to Graph RAG proves an interesting shift in machines’ understanding and processing of knowledge, and this study considers both architectures in their differences, applications, and further trajectories. The present organization and access of information will tell whether the AI merely has an answer or actually understands the question in […] The post Traditional RAG to Graph RAG: The Evolution of Knowledge Retrieval Systems i

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This AI Paper Introduces a Parameter-Efficient Fine-Tuning Framework: LoRA, QLoRA, and Test-Time Scaling for Optimized LLM Performance

Marktechpost

Large Language Models (LLMs) are essential in fields that require contextual understanding and decision-making. However, their development and deployment come with substantial computational costs, which limits their scalability and accessibility. Researchers have optimized LLMs to improve efficiency, particularly fine-tuning processes, without sacrificing reasoning capabilities or accuracy.

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This is How Andrej Karpathy Uses LLMs

Analytics Vidhya

In his latest video, “How I use LLMs: Andrej Karpathy,” the renowned AI expert pulls back the curtain on the evolving world of LLM. Serving as a follow-up to his earlier video “Deep Diving into LLMs” from the General Audience Playlist on his YouTube channel, this presentation explores how the initial textual chat interface hosted […] The post This is How Andrej Karpathy Uses LLMs appeared first on Analytics Vidhya.

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Reimagining Diffusion Models: Autoregressive Priors for Efficient Initialization

Towards AI

Author(s): Shenggang Li Originally published on Towards AI. Exploring a Novel Approach to Diffusion Initialization with Intuitive Illustrations, Applications This member-only story is on us. Upgrade to access all of Medium. Photo by Gary Fultz on Unsplash Diffusion models have become a cornerstone of modern AI, especially in generative tasks like creating realistic images or high-quality audio.

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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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Inception Unveils Mercury: The First Commercial-Scale Diffusion Large Language Model

Marktechpost

The landscape of generative AI and LLMs has experienced a remarkable leap forward with the launch of Mercury by the cutting-edge startup Inception Labs. Introducing the first-ever commercial-scale diffusion large language models (dLLMs), Inception labs promises a paradigm shift in speed, cost-efficiency, and intelligence for text and code generation tasks.

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China’s Autonomous Agent, Manus, Changes Everything

Flipboard

One recent evening in Shenzhen, a group of software engineers gathered in a dimly lit co-working space, furiously typing as they monitored the performance of a new AI system. The air was electric, thick with the hum of servers and the glow of high-resolution monitors.

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Text Summarization with DistillBart Model

Machine Learning Mastery

This tutorial is in two parts; they are: Using DistilBart for Summarization Improving the Summarization Process Let's start with a fundamental implementation that demonstrates the key concepts of text summarization with DistilBart: import torch from transformers import AutoTokenizer, AutoModelForSeq2SeqLM class TextSummarizer: def __init__(self, model_name="sshleifer/distilbart-cnn-12-6"): """Initialize the summarizer with a pre-trained model.

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Chinese humanoid robot lands world's first front flip

Flipboard

Chinese robotics company Zhongqing Robotics, also known as EngineAI, has officially entered the humanoid robotics scene by releasing a video showcasing what it claims is the world's first humanoid robot front flip.

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This AI Paper from MIT and UCL Introduces a Diagrammatic Approach for GPU-Aware Deep Learning Optimization

Marktechpost

Deep learning models, having revolutionized areas of computer vision and natural language processing, become less efficient as they increase in complexity and are bound more by memory bandwidth than pure processing power. The latest GPUs struggle with tremendous bandwidth limitations as they are constantly needed to move data between varying levels of memory.

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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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9 US AI startups have raised $100M or more in 2025

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Last year was a monumental year for the AI industry in the U.S. and beyond. There were 49 startups that raised funding rounds worth $100 million or more in 2024, per our count at TechCrunch.

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Tufa Labs Introduced LADDER: A Recursive Learning Framework Enabling Large Language Models to Self-Improve without Human Intervention

Marktechpost

Large Language Models (LLMs) benefit significantly from reinforcement learning techniques, which enable iterative improvements by learning from rewards. However, training these models efficiently remains challenging, as they often require extensive datasets and human supervision to enhance their capabilities. Developing methods that allow LLMs to self-improve autonomously without additional human input or large-scale architectural modifications has become a major focus in AI research.

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Judge allows authors’ AI copyright lawsuit against Meta to move forward

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A federal judge is allowing an AI-related copyright lawsuit against Meta to move forward, although he dismissed part of the suit. In Kadrey vs.

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Important LLMs Papers for the Week from 24/02 to 01/03

Towards AI

Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Large Language Models Research This member-only story is on us. Upgrade to access all of Medium. Large language models (LLMs) have advanced rapidly in recent years. As new generations of models are developed, researchers and engineers need to stay informed on the latest progress.

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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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AGI could now arrive as early as 2026 — but not all scientists agree

Flipboard

Predictions on the dawn of the AI singularity vary wildly but scientists generally say it will come before 2040, according to new analysis, slashing

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Finer-CAM Revolutionizes AI Visual Explainability: Unlocking Precision in Fine-Grained Image Classification

Marktechpost

Researchers at The Ohio State University have introduced Finer-CAM, an innovative method that significantly improves the precision and interpretability of image explanations in fine-grained classification tasks. This advanced technique addresses key limitations of existing Class Activation Map (CAM) methods by explicitly highlighting subtle yet critical differences between visually similar categories.

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Week in Review: OpenAI could charge $20K a month for an AI agent

Flipboard

Welcome back to Week in Review. This week were looking at OpenAI potentially charging $20,000 a month for a specialized AI agent, the unexpected return of early-internet darling Digg, a company genetically engineering mice to have mammoth-like fur, and more! Lets do this.

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10 Ways AI Can Improve Your Reading and Writing in 2025

Ofemwire

Everyone holds different perspectives on AI and its potential applications, and this includes both readers and writers, who also have their thoughts on this evolving technology. Here are 10 Ways Ai Can Improve Your Reading and Writing in 2025. So, what benefits does AI bring to readers and writers? If you identify as either, you might wonder, How can AI enhance my reading and writing experience?.

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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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How North Korea’s unstoppable hackers are weaponising AI

Flipboard

ChatGPT, DeepSeek and Googles Gemini are among the AI models that North Korean hackers are exploiting for fraud, experts warn.

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Why Time Series Analysis Still Matters in the Age of Generative AI and LLMs

ODSC - Open Data Science

With the rise of generative AI and large language models (LLMs), its easy to assume that traditional data analysis techniques, like time series modeling , have taken a backseat. After all, LLMs generate human-like text, solve coding problems, and even analyze dataso why should we still focus on timeseries? The truth is, time series analysis remains a critical component of AI-driven decision-making , especially in industries where forecasting, anomaly detection, and real-time insights are essenti

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Do androids dream of electric sheep? This Michigan educator’s classes ponder the humanity of A.I.

Flipboard

There are more immediate questions to ask about artificial intelligence before humans should start worrying about "The Terminator" coming true, a Central Michigan University educator said.

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You’re Doing RAG Wrong: How to Fix Retrieval-Augmented Generation for Local LLMs

Towards AI

Last Updated on March 8, 2025 by Editorial Team Author(s): DarkBones Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. ✔ Want to skip straight to the setup? Jump to the tutorial. ✔ Need a RAG refresher? Check out my previous article. RAG Works Until It Doesnt RAG sounds great, until you try implementing it.

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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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Where the AI jobs are

Flipboard

New York, Seattle and San Jose had the most overall AI job openings this past January, by one estimate.

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UltraScale Playbook

Bugra Akyildiz

HuggingFace wrote an excellent report called Ultra-Scale Playbook , a guide detailing methodologies for training large language models (LLMs) on GPU clusters. The playbook analyzes over 4,000 scaling experiments conducted across GPU configurations ranging from 1 to 512 devices. It addresses three primary constraints in distributed training: Memory usage (hardware limits per GPU) Compute efficiency (percentage of time GPUs spend on arithmetic operations) communication overhead (latency and bandwi

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5 mind-blowing ChatGPT prompts you’ll wish you knew sooner

Flipboard

ChatGPT has quickly become the most widely used AI tool on the market, with millions of people turning to it daily for writing help, research, and

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Mistral AI Launches New Mistral OCR API

Towards AI

Last Updated on March 8, 2025 by Editorial Team Author(s): Get The Gist Originally published on Towards AI. Plus: Anthropic Launches New AI Collaboration Platform This member-only story is on us. Upgrade to access all of Medium. Welcome to Get The Gist, where every weekday we share an easy-to-read summary of the latest and greatest developments in AI news, innovations, and trends all delivered in under 5 minutes!

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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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Tech giants reportedly prepare stocking new West Texas data center

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The Abilene facility is part of a $500 billion AI-focused project.

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Qilin: A Multimodal Dataset with APP-level User Sessions To Advance Search and Recommendation Systems

Marktechpost

Search engines and recommender systems are essential in online content platforms nowadays. Traditional search methodologies focus on textual content, creating a critical gap in handling illustrated texts and videos that have become crucial components of User-Generated Content (UGC) communities. Current datasets for search and recommendation tasks contain textual information or statistically dense features, severely limiting the development of effective multimodal search and recommendation (S&

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Google, Oppo, Moto and Honor are finally giving us the AI we deserve

Flipboard

Apple has delayed the new Siri and next-gen Apple Intelligence, but this week I've seen five demos that are finally the type of AI that we deserve. Here's more.

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