Tue.Mar 25, 2025

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Scaling Up Reinforcement Learning for Traffic Smoothing: A 100-AV Highway Deployment

BAIR

Training Diffusion Models with Reinforcement Learning We deployed 100 reinforcement learning (RL)-controlled cars into rush-hour highway traffic to smooth congestion and reduce fuel consumption for everyone. Our goal is to tackle "stop-and-go" waves , those frustrating slowdowns and speedups that usually have no clear cause but lead to congestion and significant energy waste.

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How to Use MCP: Model Context Protocol

Analytics Vidhya

Youve built applications with LLMs. Youve played with agents. Maybe youve even worked with LangChain, AutoGen, or OpenAIs Assistants API. Isnt it impressive how much these models can reason, understand, and generate? But the moment your agent needs to do something real, like check a database, read from a CRM, or fetch a Google Doc; […] The post How to Use MCP: Model Context Protocol appeared first on Analytics Vidhya.

OpenAI 182
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DeepSeek V3-0324 tops non-reasoning AI models in open-source first

AI News

DeepSeek V3-0324 has become the highest-scoring non-reasoning model on the Artificial Analysis Intelligence Index in a landmark achievement for open-source AI. The new model advanced seven points in the benchmark to surpass proprietary counterparts such as Googles Gemini 2.0 Pro , Anthropics Claude 3.7 Sonnet , and Metas Llama 3.3 70B. While V3-0324 trails behind reasoning models, including DeepSeeks own R1 and offerings from OpenAI and Alibaba , the achievement highlights the growing viability

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DeepSeek V3-0324 vs Claude 3.7: Which is the Better Coder?

Analytics Vidhya

As AI models advance, their programming and software development capabilities have become key benchmarks. Two leading contenders in the coding scene are DeepSeek V3 and Claude 3.7. DeepSeek V3-0324, the latest from DeepSeek AI, comes with promising benchmark results on coding tasks. Meanwhile, Anthropics newest model, Claude 3.7, is a stronger generalist AI with superior […] The post DeepSeek V3-0324 vs Claude 3.7: Which is the Better Coder?

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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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Galaxy.ai Review: 2,000+ AI Tools, But Is It Worth It?

Unite.AI

Are you juggling multiple AI subscriptions, each with its own pricing plan and renewal dates? One platform gives you ChatGPT, another offers Claude , a third lets you generate images and another handles video creation. Before you know it, your expenses for these AI tools have spiraled out of control. You end up overwhelmed by how many tools you need to manage.

AI Tools 166

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ARC Prize launches its toughest AI benchmark yet: ARC-AGI-2

AI News

ARC Prize has launched the hardcore ARC-AGI-2 benchmark, accompanied by the announcement of their 2025 competition with $1 million in prizes. As AI progresses from performing narrow tasks to demonstrating general, adaptive intelligence, the ARC-AGI-2 challenges aim to uncover capability gaps and actively guide innovation. Good AGI benchmarks act as useful progress indicators.

Big Data 157
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How to Build Multilingual Voice Agent Using OpenAI Agent SDK?

Analytics Vidhya

OpenAIs Agent SDK has taken things up a notch with the release of its Voice Agent feature, enabling you to create intelligent, real-time, speech-driven applications. Whether you’re building a language tutor, a virtual assistant, or a support bot, this new capability brings in a whole new level of interactionnatural, dynamic, and human-like. Lets break it […] The post How to Build Multilingual Voice Agent Using OpenAI Agent SDK?

OpenAI 162
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STAT+: Health insurers’ rapid adoption of AI tools is outpacing regulators’ ability to keep watch

Flipboard

Inside the nation’s largest health insurance companies, artificial intelligence is taking off like a rocket. Elevance, which covers about 110 million people, has rolled out a generative AI model to 50,000 employees. Centene Corp, which serves more than 28 million people, is using it to manage contracts with medical groups and measure their performance.

AI Tools 148
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Using AI Hallucinations to Evaluate Image Realism

Unite.AI

New research from Russia proposes an unconventional method to detect unrealistic AI-generated images not by improving the accuracy of large vision-language models (LVLMs), but by intentionally leveraging their tendency to hallucinate. The novel approach extracts multiple ‘atomic facts' about an image using LVLMs, then applies natural language inference (NLI) to systematically measure contradictions among these statements effectively turning the model's flaws into a diagnostic tool for de

AI 130
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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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A Crucial Optical Technology Has Finally Arrived

Flipboard

A long-awaited, emerging computer network component may finally be having its moment. At Nvidias GTC event last week in San Jose, the company announced that it will produce an optical network switch designed to drastically cut the power consumption of AI data centers. The systemcalled a co-packaged optics, or CPO, switch can route tens of terabits per second from computers in one rack to computers in another.

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10 Best AI Customer Support Software with Help Desk Features (2025)

Unite.AI

Customer support software is evolving quickly thanks to AI. The tools on this list combine traditional help desk capabilities (like ticketing, knowledge bases, and multi-channel support) with powerful artificial intelligence to automate responses, assist agents, and improve customer satisfaction. Below is a comparison of some of the leading platforms, followed by detailed insights into each.

Chatbots 130
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Ray: Your Gateway to Scalable AI and Machine Learning Applications

Analytics Vidhya

Ray has emerged as a powerful framework for distributed computing in AI and ML workloads, enabling researchers and practitioners to scale their applications from laptops to clusters with minimal code changes. This guide provides an in-depth exploration of Ray’s architecture, capabilities, and applications in modern machine learning workflows, complete with a practical project implementation.

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Deep Research

Flipboard

One of the greatest challenges of Generative AI solutions like ChatGPT is hallucination. They create fear in professionals as well as nightmares involving the lawyer that used ChatGPT and filed a fictitious case with a judge. Hallucinations are a problem because GenAI solutions like ChatGPT are not databases, even though they appear to behave like search engines that provide a custom answer to a question.

ChatGPT 81
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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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OpenAI’s 4o Image Generation is SUPER COOL

Analytics Vidhya

A few days ago, Gemini rolled out its image generation feature in the 2.0 Flash version, and the internet erupted with stunning examples. Now, OpenAI is stepping up to the plate, raising the bar even higher by introducing native image generation (powered by GPT-4o) in ChatGPT. Sam Altman introduced the new feature with enthusiasm, describing […] The post OpenAI’s 4o Image Generation is SUPER COOL appeared first on Analytics Vidhya.

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How health insurers are using AI today

Flipboard

Y ou’re reading the web edition of STAT’s Health Tech newsletter, our guide to how technology is transforming the life sciences.  Sign up to get it  delivered in your inbox every Tuesday and Thursday. How insurers use AI Executives of the nation’s largest health insurance companies regularly highlight their use of AI tools in earnings calls and meetings with investors.

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We Tried the Google 2.5 Pro Experimental Model and It’s Mind-Blowing!

Analytics Vidhya

Google DeepMind has recently unveiled its latest advancement in artificial intelligence: the Gemini 2.5 Pro (experimental) model. Within just a few hours of release, this new model has taken the AI world by storm, ranking #1 on the LMArena Leaderboard! Built upon its predecessors, this new model promises enhanced capabilities and features designed to cater […] The post We Tried the Google 2.5 Pro Experimental Model and Its Mind-Blowing!

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NVIDIA NIM Microservices Now Available to Streamline Agentic Workflows on RTX AI PCs and Workstations

NVIDIA

Generative AI is unlocking new capabilities for PCs and workstations, including game assistants, enhanced content-creation and productivity tools and more. NVIDIA NIM microservices, available now, and AI Blueprints , in the coming weeks, accelerate AI development and improve its accessibility. Announced at the CES trade show in January, NVIDIA NIM provides prepackaged, state-of-the-art AI models optimized for the NVIDIA RTX platform, including the NVIDIA GeForce RTX 50 Series and, now, the new N

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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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Cache-Augmented Generation (CAG): Is It Better Than RAG?

Analytics Vidhya

Retrieval-Augmented Generation (RAG) has transformed AI by dynamically retrieving external knowledge, but it comes with limitations such as latency and dependency on external sources. To overcome these challenges, Cache-Augmented Generation (CAG) has emerged as a powerful alternative. CAG implementation focuses on caching relevant information, enabling faster, more efficient responses while enhancing scalability, accuracy, and reliability. […] The post Cache-Augmented Generation (CAG): Is

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Integrate natural language processing and generative AI with relational databases

Flipboard

In this post, we present an approach to using natural language processing (NLP) to query an Amazon Aurora PostgreSQL-Compatible Edition database. The solution presented in this post assumes that an organization has an Aurora PostgreSQL database. We create a web application framework using Flask for the user to interact with the database. JavaScript and Python code act as the interface between the web framework, Amazon Bedrock, and the database.

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Enhance enterprise productivity for your LLM solution by becoming an Amazon Q Business data accessor

AWS Machine Learning Blog

Since Amazon Q Business became generally available in 2024, customers have used this fully managed, generative AI-powered assistant to enhance their productivity and efficiency. The assistant enables users to answer questions, generate summaries, create content, and complete tasks using enterprise data. Todays workforce faces significant application overload.

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Bubble Trouble

Flipboard

An AI bubble threatens Silicon Valley, and all of us. This article appears in the April 2025 issue of The American Prospect magazine. Subscribe here.

AI 181
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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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Amazon Bedrock launches Session Management APIs for generative AI applications (Preview)

AWS Machine Learning Blog

Amazon Bedrock announces the preview launch of Session Management APIs, a new capability that enables developers to simplify state and context management for generative AI applications built with popular open source frameworks such as LangGraph and LlamaIndex. Session Management APIs provide an out-of-the-box solution that enables developers to securely manage state and conversation context across multi-step generative AI workflows, alleviating the need to build, maintain, or scale custom backen

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Scary AI-powered swarm robots team up to build cars faster than ever

Flipboard

The automotive industry is undergoing a seismic shift driven by the integration of AI-powered humanoid robots into production lines.

Robotics 181
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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly Media

Lets be real: building LLM applications today feels like purgatory. Someone hacks together a quick demo with ChatGPT and LlamaIndex. Leadership gets excited. We can answer any question about our docs! But then reality hits. The system is inconsistent, slow, hallucinatingand that amazing demo starts collecting digital dust. We call this POC Purgatorythat frustrating limbo where you’ve built something cool but can’t quite turn it into something real.

LLM 63
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China: AI talent in high demand during China's spring hiring season

Flipboard

China - Recent Storyline: AI talent in high demand during China's spring hiring season [Voice_over] China's spring hiring season is underway with companies in emerging sectors, especially those in the AI industry, leading the race for talent. At a recent job fair for university graduates in Shanghai, private companies made a strong presence, accounting for nearly 50 percent of employers.

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Relevance, Reach, Revenue: How to Turn Marketing Trends From Hype to High-Impact

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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Enhance deployment guardrails with inference component rolling updates for Amazon SageMaker AI inference

AWS Machine Learning Blog

Deploying models efficiently, reliably, and cost-effectively is a critical challenge for organizations of all sizes. As organizations increasingly deploy foundation models (FMs) and other machine learning (ML) models to production, they face challenges related to resource utilization, cost-efficiency, and maintaining high availability during updates.

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OpenAI Is Ready for Hollywood to Accept Its Vision

Flipboard

As the company engages major studios and throws its own short film festival (with Universal, Disney and talent agency execs in attendance), its executives see a future unconstrained by legal or labor guardrails.

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Evaluate and improve performance of Amazon Bedrock Knowledge Bases

AWS Machine Learning Blog

Amazon Bedrock Knowledge Bases is a fully managed capability that helps implement entire Retrieval Augmented Generation (RAG) workflows from ingestion to retrieval and prompt augmentation without having to build custom integrations to data sources and manage data flows. There is no single way to optimize knowledge base performance: each use case is impacted differently by configuration parameters.