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10 GitHub Repositories for Mastering Agents and MCPs

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 10 GitHub Repositories for Mastering Agents and MCPs Learn how to build your own agentic AI application with free tutorials, guides, courses, projects, example code, research papers, and more.

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Unlocking the Power of Data: How Databricks, WashU & Databasin Are Redefining Healthcare Innovation

databricks

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What is Context Engineering? The New Foundation for Reliable AI and RAG Systems

Data Science Dojo

Context engineering is quickly becoming the new foundation of modern AI system design, marking a shift away from the narrow focus on prompt engineering. While prompt engineering captured early attention by helping users coax better outputs from large language models (LLMs), it is no longer sufficient for building robust, scalable, and intelligent applications.

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Build a Men’s Fashion Recommendation System Using FastEmbed and Qdrant

Analytics Vidhya

Recommendation systems are everywhere. From Netflix and Spotify to Amazon. But what if you wanted to build a visual recommendation engine? One that looks at the image, not just the title or tags? In this article, you’ll build a men’s fashion recommendation system. It will use image embeddings and the Qdrant vector database. You’ll go […] The post Build a Men’s Fashion Recommendation System Using FastEmbed and Qdrant appeared first on Analytics Vidhya.

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Airflow Best Practices for ETL/ELT Pipelines

Speaker: Kenten Danas, Senior Manager, Developer Relations

ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0 like assets, backfills, and event-driven scheduling make orchestrating ETL/ELT pipelines easier than ever!

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Zuckerberg and LeCun clash over Meta’s AI future

Dataconomy

A philosophical divergence between Meta CEO Mark Zuckerberg and Chief AI Scientist Yann LeCun regarding artificial intelligence strategy and timelines became evident last week with the announcement of Meta Superintelligence Labs , generating uncertainty about the company’s future AI direction. This division within Meta’s AI teams centers on fundamental approaches to AI development.

AI 201
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Serve Machine Learning Models via REST APIs in Under 10 Minutes

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Serve Machine Learning Models via REST APIs in Under 10 Minutes Stop leaving your models on your laptop.

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Model Context Protocol (MCP) 101: How LLMs Connect to the Real World

Data Science Dojo

Model Context Protocol (MCP) is rapidly emerging as the foundational layer for intelligent, tool-using AI systems, especially as organizations shift from prompt engineering to context engineering. Developed by Anthropic and now adopted by major players like OpenAI and Microsoft , MCP provides a standardized, secure way for large language models (LLMs) and agentic systems to interface with external APIs, databases, applications, and tools.

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What is Multi-Modal Data Analysis?

Analytics Vidhya

The traditional single-modal data approaches often miss important insights that are present in cross-modal relations. Multi-Modal Analysis brings together diverse sources of data, such as text, images, audio, and more similar data to provide a more complete view of an issue. This multi-modal data analysis is called multi-modal data analytics, and it improves prediction accuracy […] The post What is Multi-Modal Data Analysis?

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How AI platforms rank on data privacy in 2025

Dataconomy

A new report from Incogni evaluates the data privacy practices of today’s most widely used AI platforms. As generative AI and large language models (LLMs) become deeply embedded in everyday tools and services, the risk of unauthorized data collection and sharing has surged. Incogni’s researchers analyzed nine leading platforms using 11 criteria to understand which systems offer the most privacy-friendly experience.

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Build ETL Pipelines for Data Science Workflows in About 30 Lines of Python

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Build ETL Pipelines for Data Science Workflows in About 30 Lines of Python Want to understand how ETL really works?

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Whats New in Apache Airflow 3.0 –– And How Will It Reshape Your Data Workflows?

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.

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10 NumPy One-Liners to Simplify Feature Engineering

Machine Learning Mastery

When building machine learning models, most developers focus on model architectures and hyperparameter tuning.

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AI chatbots often distort nations human rights records, study finds

Flipboard

LLMs — the data models powering your favorite AI chatbots — don't just have social and racial biases, a new report finds, but inherent biases against democratic institutions. A recent study , published by researchers at the MIT Sloan School of Management , analyzed how six popular LLMs (including ChatGPT, Gemini, and DeepSeek) portray the state of press freedom — and, indirectly, trust in the media — in responses to user prompts.

AI 158
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10 GitHub LLM Repositories Every AI Engineer Should Know

Analytics Vidhya

Are you an AI engineer, wondering how to attain resources that can put your skills to a practical test? It might be difficult to look for the right solution for you, based on the vast amount of information out there. Hence, we present this list of all ten GitHub llm repositories every AI engineer ought […] The post 10 GitHub LLM Repositories Every AI Engineer Should Know appeared first on Analytics Vidhya.

AI 157
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Google’s ZKP tools are now free for developers

Dataconomy

Google has open-sourced its Zero-Knowledge Proof (ZKP) libraries, delivering on a commitment and leveraging a partnership with Sparkasse to support age assurance within the European Union. This initiative aims to facilitate the development of privacy-enhancing applications and digital identity solutions by developers in both private and public sectors, addressing a pressing demand.

AI 179
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Agent Tooling: Connecting AI to Your Tools, Systems & 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.

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AI-First Google Colab is All You Need

KDnuggets

Let's take a closer look at Google Colab's new AI features, and find out how you can use them to increase your daily data workflow productivity.

AI 268
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Addressing Misspecification in Simulation-based Inference through Data-driven Calibration

Machine Learning Research at Apple

Driven by steady progress in deep generative modeling, simulation-based inference (SBI) has emerged as the workhorse for inferring the parameters of stochastic simulators. However, recent work has demonstrated that model misspecification can compromise the reliability of SBI, preventing its adoption in important applications where only misspecified simulators are available.

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Don’t let hype about AI agents get ahead of reality

Flipboard

Skip to Content MIT Technology Review Featured Topics Newsletters Events Audio Sign in Subscribe MIT Technology Review Featured Topics Newsletters Events Audio Sign in Subscribe Opinion Don’t let hype about AI agents get ahead of reality There is enormous potential for this technology, but only if we deploy it responsibly. By Yoav Shoham archive page July 3, 2025 Sarah Rogers/MITTR | Getty Google’s recent unveiling of what it calls a “new class of agentic experiences” feels like a turning point.

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Knowing Steam players are hoarders explains why you give Valve that 30%

Hacker News

More than likely the person buying your game is not going to play it.

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How to Modernize Manufacturing Without Losing Control

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

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Auxia Announces AI Analyst Agent for Marketing Teams

insideBIGDATA

PALO ALTO, Calif.—June 24, 2025—Auxia, an agentic customer orchestration platform, today announced advancements to its Analyst Agent, enabling marketing teams to discover insights from their campaigns through natural language conversations that happen in real-time. Simple questions like “Which customers are most likely to upgrade?” now get immediate answers with visual explanations showing exactly why.

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7 DuckDB SQL Queries That Save You Hours of Pandas Work

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 7 DuckDB SQL Queries That Save You Hours of Pandas Work See how DuckDB outperforms Pandas in real world tasks like filtering, cohort analysis and revenue modelling all within your notebook.

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Shielded Diffusion: Generating Novel and Diverse Images using Sparse Repellency

Machine Learning Research at Apple

The adoption of text-to-image diffusion models raises concerns over reliability, drawing scrutiny under the lens of various metrics like calibration, fairness, or compute efficiency. We focus in this work on two issues that arise when deploying these models: a lack of diversity when prompting images, and a tendency to recreate images from the training set.

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Massive study detects AI fingerprints in millions of scientific papers

Flipboard

Chances are that you have unknowingly encountered compelling online content that was created, either wholly or in part, by some version of a Large …

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

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.

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7 RAG Applications for Computer Vision

Analytics Vidhya

Artificial Intelligence is at an inflection point where computer vision systems are breaking out of their classical limitations. While good at recognizing objects and patterns, they have traditionally been limited when it came to making considerations of context and reasoning. Introducing Retrieval Augemented Generation (RAG) to the scenario – changing the game in the way […] The post 7 RAG Applications for Computer Vision appeared first on Analytics Vidhya.

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This $1B deal could make Mistral a true AI superpower

Dataconomy

French AI startup Mistral is negotiating with investors, including Abu Dhabi’s MGX fund, to secure up to $1 billion in equity funding, according to Bloomberg. Concurrently, Mistral is engaging with French financial institutions, such as Bpifrance SACA, to obtain several hundred million euros in debt financing. These discussions aim to bolster Mistral’s financial position within the global artificial intelligence sector.

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Building Modern Data Lakehouses on Google Cloud with Apache Iceberg and Apache Spark

KDnuggets

Forget data silos. You can build a modern data lakehouse that gives you transactional consistency, schema evolution, and top-tier performance, all in one place with Apache Iceberg and Apache Spark.

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The Geometries of Truth Are Orthogonal Across Tasks

Machine Learning Research at Apple

This paper was presented at the Workshop on Reliable and Responsible Foundation Models at ICML 2025. Large Language Models (LLMs) have demonstrated impressive generalization capabilities across various tasks, but their claim to practical relevance is still mired by concerns on their reliability. Recent works have proposed examining the activations produced by an LLM at inference time to assess whether its answer to a question is correct.

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

Speaker: Tamara Fingerlin, Developer Advocate

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.

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Forget the hype — real AI agents solve bounded problems, not open-world fantasies

Flipboard

Skip to main content Events Video Special Issues Jobs VentureBeat Homepage Subscribe Artificial Intelligence View All AI, ML and Deep Learning Auto ML Data Labelling Synthetic Data Conversational AI NLP Text-to-Speech Security View All Data Security and Privacy Network Security and Privacy Software Security Computer Hardware Security Cloud and Data Storage Security Data Infrastructure View All Data Science Data Management Data Storage and Cloud Big Data and Analytics Data Networks Automation Vie

AI 168
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9 Steps for Crafting an Interactive Dashboard using Python and Gradio

Analytics Vidhya

Have you ever been stuck in a situation where you have a huge dataset and you wanted insights from it? Sounds scary, right? Getting useful insights, especially from a huge dataset, is a tall order. Imagine transforming your dataset into an interactive web application without any frontend expertise for data visualization. Gradio, when used alongside […] The post 9 Steps for Crafting an Interactive Dashboard using Python and Gradio appeared first on Analytics Vidhya.

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PayPal’s AI now blocks scams before you click

Dataconomy

PayPal has implemented a new AI-powered scam alert system to enhance fraud prevention for its global user base, including Venmo users in the United States, according to ZDNet. This initiative combats evolving scam tactics by leveraging artificial intelligence to identify and mitigate potential risks in transactions. PayPal’s new system deploys AI-powered scam alerts specifically for Friends and Family transactions on the PayPal platform globally and for Venmo transactions within the U.S.

AI 150
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7 Steps to Mastering Vibe Coding

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 7 Steps to Mastering Vibe Coding Learn how to master vibe coding in these 7 steps, and transform AI code generation into a professional superpower.

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A Guide to Debugging Apache Airflow® DAGs

In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

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How HP is optimizing the 3D Printing supply chain using Delta Sharing

databricks

Javier Lagares is a Principal Data Engineer at HP, where he leads the development of data-driven solutions for the 3D printing business. With.