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The world of AI and Large Language Models (LLMs) moves quickly. Integrating external tools and real-time data is vital for building truly powerful applications. The Model Context Protocol (MCP) offers a standard way to bridge this gap. This guide provides a clear, beginner-friendly walkthrough for creating an MCP client server using LangChain. Understanding the MCP […] The post How to Create an MCP Client Server Using LangChain appeared first on Analytics Vidhya.
TL;DR: “Machine unlearning” aims to remove data from models without retraining the model completely. Unfortunately, state-of-the-art benchmarks for evaluating unlearning in LLMs are flawed, especially because they separately test “forget queries” and “retain queries” without examining potential dependencies between forget and retain data.
The Fast Company Impact Council is an invitation-only membership community of leaders, experts, executives, and entrepreneurs who share their insights with our audience. Members pay annual dues for access to peer learning, thought leadership opportunities, events and more. It’s been five years since the intense early days of the COVID-19 pandemic and the first round of lockdowns that mandated work-from-home for companies around the world.
Summary: In 2025, generative AI has progressed well beyond its original role of streamlining work tasks or producing content. While it continues to be a powerful tool for productivity, its influence is now extending into far more personal territory. Increasingly, individuals are engaging with generative AI systems for emotional support, mental wellness, and even companionship. […] The post How Generative AI Is Reshaping Human Connection appeared first on Analytics Vidhya.
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.
“We didnt use to have to decide if our students were human, they were all people. But now theres this skepticism because a growing number of the people were teaching are not real. Were having to have these conversations with students, like, Are you real? Is your work real?” That’s Eric Maag, professor of communication at Southwestern College in California.
This post is divided into three parts; they are: Building a Semantic Search Engine Document Clustering Document Classification If you want to find a specific document within a collection, you might use a simple keyword search.
AI agents are revolutionizing how businesses enhance their operational capabilities and enterprise applications. By enabling natural language interactions, these agents provide customers with a streamlined, personalized experience. Amazon Bedrock Agents uses the capabilities of foundation models (FMs), combining them with APIs and data to process user requests, gather information, and execute specific tasks effectively.
AI agents are revolutionizing how businesses enhance their operational capabilities and enterprise applications. By enabling natural language interactions, these agents provide customers with a streamlined, personalized experience. Amazon Bedrock Agents uses the capabilities of foundation models (FMs), combining them with APIs and data to process user requests, gather information, and execute specific tasks effectively.
AI Isnt Always Helpfuland Researchers Have Found a Way to KnowWhen Just because an AI system is good at something doesnt mean youll always want its help. In a study recently presented at AAAI 2025 , CDS Faculty Fellow Umang Bhatt , CDS visiting researcher Valerie Chen , and colleagues introduced a system called Modiste , detailed in their paper, Learning Personalized Decision Support Policies , to determine exactly when a user truly benefits from AI assistance.
Inside a secretive lab in Santa Barbara, California, scientists at Alphabet are working on one of the company's most ambitious bets yet. They're attempting to develop the world's most advanced quantum computers. Last year, Google unveiled a breakthrough chip called Willow, which it says can solve a problem unimaginably faster than a classical computer.
As new AI tools become more sophisticated and as technologists better tune them to the needs of their organizations, HR and business leaders are grappling with new considerations about who or what is doing that work. AI tools can already tackle really simple tasks well, and they are getting more complex, according to Bryan Ackermann, head of AI strategy and transformation at Korn Ferry.
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.
Parkinson’s disease is caused by the loss of dopamine neurons, causing motor symptoms. Initial cell therapies using fetal tissues showed promise but had complications and ethical concerns1–5. Pluripotent stem (PS) cells emerged as a promising alternative for developing safe and effective treatments6. In this phase I/II trial at Kyoto University Hospital, seven patients (ages 50–69) received bilateral transplantation of dopaminergic progenitors derived from induced PS (iPS) cell
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
There are so many factors that can influence how we perceive others, which in turn can determine the people we choose as platonic friends or romantic mates. We certainly make snap judgments based on physical appearance, but scent can have a powerful influence, too. According to a new paper published in the journal Scientific Reports, two heterosexual women meeting for the first time rely partly on scent to judge whether they want to be friends with each other, deciding within minutespractically
Chris Krebs affirmed the 2020 election was secure. Now he's the target of an Executive Orderand the cybersecurity industrys silence is enabling a dangerous precedent.
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.
Success demands more success. Earlier this week, The Verge reported that OpenAI is developing its own social network to compete with Meta and X. The product may never see the light of day, but the idea has a definite logic to it.
Retrieval Augmented Generation (RAG) enhances AI responses by combining the generative AI models capabilities with information from external data sources, rather than relying solely on the models built-in knowledge. In this post, we showcase the custom data connector capability in Amazon Bedrock Knowledge Bases that makes it straightforward to build RAG workflows with custom input data.
ChatGPT, OpenAIs text-generating AI chatbot, has taken the world by storm since its launch in November 2022. What started as a tool to supercharge productivity through writing essays and code with short text prompts has evolved into a behemoth with 300 million weekly active users.
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
ChatGPT-generated action figures and Studio Ghibli-inspired illustrations have dominated the internet in recent weeks, reigniting artists' concerns about their livelihoods. Joy Cardao said she used to get commissioned almost every week to create anime-inspired art.
A system design is given for a computer capable of efficient execution of APL source statements and programs. The system is organized in a new type computer architecture based upon the storage of matrices and vectors in cellular logic arrays. Almost all of the scalar, mixed, and composite fixed point APL operations are implemented on the machine by algorithms given in this paper.
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.
The real value of AI isn't in what you ask it's in how you shape the conversation. Mastering prompt interactions means better content, sharper thinking and fewer generic outputs. By now, most marketers have experimented with ChatGPT.
Author(s): Youssef Hosni Originally published on Towards AI. Docker containers offer significant advantages for machine learning by ensuring consistent, portable, and reproducible environments across different systems. By encapsulating all dependencies, libraries, and configurations in a container, Docker eliminates compatibility issues and the it works on my machine problem.
The Plaud NotePin is a fantastic AI device for those looking to record and transcribe in-person meetings, classes and brainstorming sessions. Here's how it has helped me.
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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