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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.
Large language models are challenging to adapt to new enterprise tasks. Prompting is error-prone and achieves limited quality gains, while fine-tuning requires large amounts of.
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.
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?
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
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.
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.
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.
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.
So far we have seen LLMs be all about text generation, but looks like things are changing. In the last 15 days, we have seen Google launch its best ever model – Gemini 2.5 Pro with strong image generation capabilities, x.ai releasing image editing features in Grok 3. Open AI has just dropped its best […] The post GPT 4o, Gemini 2.5 Pro, or Grok 3: Which is the Best Image Generation Model?
How can you ensure your machine learning models get the high-quality data they need to thrive? In todays machine learning landscape, handling data well is as important as building strong models. Feeding high-quality, well-structured data into your models can significantly impact performance and training speed. The TensorFlow Dataset API simplifies this process by offering set […] The post Building TensorFlow Pipelines with Vertex AI appeared first on Analytics Vidhya.
Graph neural networks (GNNs) can be pictured as a special class of neural network models where data are structured as graphs — both training data used to train the model and real-world data used for inference — rather than fixed-size vectors or grids like image, sequences, or instances of tabular data.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
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?
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.
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.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
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
UiPath (NYSE: PATH), an enterprise automation and AI software company, today announced the launch of UiPath Test Cloud, a new approach to software testing that uses AI to amplify tester productivity across the testing lifecycle, designed for.
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!
Data augmentation is crucial to make machine learning models more robust and safe. However, augmenting data can be challenging as it requires generating diverse data points to rigorously evaluate model behavior on edge cases and mitigate potential harms. Creating high-quality augmentations that cover these "unknown unknowns" is a time- and creativity-intensive task.
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
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.
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.
A few years ago, having a clean and well-organised portfolio website was enough to make an impression. You would put in your best work, add a short bio, throw out a contact form, and that was it to make your online presence. However, in 2025, professionals are rethinking how to present their portfolios to draw attention and enhance user experience. They are now more focused on collecting users’ behavioural data using analytical tools, cookies, or other tracking mechanisms to design and dev
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.
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
Binance recently suspended a member of its Binance Wallet team amidst allegations of insider trading. The crypto exchange initiated an internal investigation on March 23 following complaints about a staffer allegedly using non-public information for personal profit. The investigation was launched after Binance received a complaint through the platform X, on March 25.
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.
A critical vulnerability in the Next.js web development framework could let hackers bypass authorization checks. Tracked as CVE-2025-29927 , the flaw allows attackers to send requests directly to destination paths, skipping crucial security protocols. Next.js, a widely-used React framework with over 9 million weekly npm downloads , is favored by developers for constructing full-stack web applications.
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
In the accounting world, staying ahead means embracing the tools that allow you to work smarter, not harder. Outdated processes and disconnected systems can hold your organization back, but the right technologies can help you streamline operations, boost productivity, and improve client delivery. Dive into the strategies and innovations transforming accounting practices.
23andMe, the DNA testing company once valued at $6 billion, has filed for bankruptcy, with your personal information and DNA potentially on the line. The company announced on March 23 that it has initiated voluntary Chapter 11 proceedings in the US Bankruptcy Court. The stated goal is to facilitate a sale that maximizes the value of 23andMe’s business.
Two major chipmakers, previously crowned with trillion-dollar valuations, have recently slipped from their lofty perches. Taiwan Semiconductor Manufacturing (TSM) and Broadcom (AVGO) are poised to reclaim their spots, fueled by the ever-growing demand for AI. Out of the seven public companies boasting market caps of $1 trillion or more, six are deeply entrenched in the AI arena.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
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