Data Science Dojo
APRIL 7, 2025
Ever wonder what happens to your data after you chat with an AI like ChatGPT ? Do you wonder who else can see this data? Where does it go? Can it be traced back to you? These concerns arent just hypothetical. In the digital age, data is powe r. But with great power comes great responsibility, especially when it comes to protecting peoples personal information.
Analytics Vidhya
APRIL 7, 2025
The growing importance of Large Language Models (LLMs) in AI advancements cannot be overstated – be it in healthcare, finance, education, or customer service. As LLMs continue to evolve, it is important to understand how to effectively work with them. This guide explores the various approaches to working with LLMs, from prompt engineering and fine-tuning […] The post Decoding LLMs: When to Use Prompting, Fine-tuning, AI Agents, and RAG Systems appeared first on Analytics Vidhya.
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KDnuggets
APRIL 7, 2025
Doing data science projects can be demanding, but it doesnt mean it has to be boring. Here are four projects to introduce more fun to your learning and stand out from the masses.
IBM Data Science in Practice
APRIL 7, 2025
Graceful External Termination: Handling Pod Deletions in Kubernetes Data Ingestion and Streaming Jobs When running big-data pipelines in Kubernetes, especially streaming jobs, its easy to overlook how these jobs deal with termination. What happens when a user or system administrator needs to kill a job mid-execution? If not handled correctly, this can lead to locks, data issues, and a negative user experience.
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.
AWS Machine Learning Blog
APRIL 7, 2025
Prompt caching, now generally available on Amazon Bedrock with Anthropics Claude 3.5 Haiku and Claude 3.7 Sonnet, along with Nova Micro, Nova Lite, and Nova Pro models, lowers response latency by up to 85% and reduces costs up to 90% by caching frequently used prompts across multiple API calls. With prompt caching, you can mark the specific contiguous portions of your prompts to be cached (known as a prompt prefix ).
Analytics Vidhya
APRIL 7, 2025
Ever wondered how Claude 3.7 thinks when generating a response? Unlike traditional programs, Claude 3.7’s cognitive abilities rely on patterns learned from vast datasets. Every prediction is the result of billions of computations, yet its reasoning remains a complex puzzle. Does it truly plan, or is it just predicting the most probable next word?
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
AWS Machine Learning Blog
APRIL 7, 2025
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies and AWS. Amazon Bedrock Knowledge Bases offers fully managed, end-to-end Retrieval Augmented Generation (RAG) workflows to create highly accurate, low-latency, secure, and custom generative AI applications by incorporating contextual information from your companys data sources.
Dataconomy
APRIL 7, 2025
Upgrading to AMD’s AM5 platform? Choosing the right DDR5 memory kit matters, especially with G.Skill’s new CL26 memory and the promise of DDR5-8000 performance. A recent test dives into whether the speed boost is worth the investment, comparing it against the more budget-friendly DDR5-6000 options for Ryzen AM5 builds. Since AM5’s debut, the standard for testing has been G.Skill’s Trident Z5 Neo RGB DDR5-6000 CL30, a 32GB kit costing around $110.
AWS Machine Learning Blog
APRIL 7, 2025
Today, were excited to announce the availability of Llama 4 Scout and Maverick models in Amazon SageMaker JumpStart and coming soon in Amazon Bedrock. Llama 4 represents Metas most advanced multimodal models to date, featuring a mixture of experts (MoE) architecture and context window support up to 10 million tokens. With native multimodality and early fusion technology, Meta states that these new models demonstrate unprecedented performance across text and vision tasks while maintaining efficie
Dataconomy
APRIL 7, 2025
Meta has officially announced its most advanced suite of artificial intelligence models to date: the Llama 4 family. This new generation includes Llama 4 Scout and Llama 4 Maverick, the first of Meta’s open-weight models to offer native multimodality and unprecedented context length support. These models also mark Meta’s initial foray into using a mixture-of-experts (MoE) architecture.
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.
SAS Software
APRIL 7, 2025
With a packed agenda of sessions, navigating a conference like SAS Innovate can feel overwhelming especially for first-time attendees. Where to start? What do you mean I'll hear from inspiring and knowledgeable speakers and business leaders? There's hands-on experiences, too? No worries. After combing through the schedule, Ive identified [.
Hacker News
APRIL 7, 2025
At the turn of the 21st century, Initrode Global's server infrastructure began showing cracks. Anyone that had been in the server room could immediately tell that its growth had been organic. Rackmounted servers sat next to recommissioned workstations, with cables barely secured by cable ties. Clearly there had been some effort to clean things up a bit, but whoever put forth that effort gave up halfway through.
AWS Machine Learning Blog
APRIL 7, 2025
Developing generative AI agents that can tackle real-world tasks is complex, and building production-grade agentic applications requires integrating agents with additional tools such as user interfaces, evaluation frameworks, and continuous improvement mechanisms. Developers often find themselves grappling with unpredictable behaviors, intricate workflows, and a web of complex interactions.
Dataconomy
APRIL 7, 2025
Microsoft is giving Copilot a major boost to keep pace in the fast-moving AI chatbot arena. The update introduces features already seen in competitors like Gemini and ChatGPT, focusing on enhanced memory, task automation, visual understanding, and research capabilities. Copilot ‘s improved memory allows it to personalize responses based on user data.
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
PyImageSearch
APRIL 7, 2025
Home Table of Contents Diagonalize Matrix for Data Compression with Singular Value Decomposition What Is Matrix Diagonalization? Mathematical Definition Singular Value Decomposition How to Diagonalize Matrix with Singular Value Decomposition Power Iteration Algorithm Step 1: Start with a Random Vector Step 2: Iteratively Refine the Vector Step 3: Construct the Singular Vectors Step 4: Deflate the Matrix Step 5: Form the Matrices U, , and V Calculating SVD Using Power Iteration Data Compression U
Dataconomy
APRIL 7, 2025
Microsoft offers a playable, AI-generated tech demo of the classic game Quake II. This demonstration utilizes Microsoft’s new Muse AI model, initially unveiled as part of the company’s foray into the Xbox AI era earlier this year. While initially presented as a Microsoft Research project, the tech giant is now allowing users of its Copilot service to experience Muse firsthand through this unique gaming application.
FlowingData
APRIL 7, 2025
You get a tariff. And you get a tariff. And you. And you. Everybody gets a tariff. But not the same for every type of consumer good. For the Washington Post, Luis Melgar, Rachel Lerman, and Szu Yu Chen show the percentages of imported value by category. That means products that the United States commonly gets from Vietnam, such as clothing and shoes, would be subject to a new 46 percent tax, whereas goods from Colombia, like flowers, would see a lower new 10 percent levy.
Hacker News
APRIL 7, 2025
Knowledge-intensive analytical applications retrieve context from both structured tabular data and unstructured, text-free documents for effective decision-making. Large language models (LLMs) have made it significantly easier to prototype such retrieval and reasoning data pipelines. However, implementing these pipelines efficiently still demands significant effort and has several challenges.
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.
Dataconomy
APRIL 7, 2025
Microsoft’s decade-old Windows 10 operating system is losing ground to Windows 11, the software set to replace it. Despite this, the older version still leads in market share, with Microsoft ending support for Windows 10 on October 14, 2025. Originally launched in 2015, Windows 10 was meant to be the last version of Windows, evolving indefinitely under the same name.
Machine Learning Mastery
APRIL 7, 2025
This post is divided into five parts; they are: Recommendation Systems Cross-Lingual Applications Text Classification Zero-Shot Classification Visualizing Text Embeddings A simple recommendation system can be created by finding a few of the most similar items to the target item.
Dataconomy
APRIL 7, 2025
AI fairness plays a crucial role in the development and deployment of artificial intelligence systems, ensuring that they operate equitably across diverse demographic groups. In our increasingly data-driven world, it is vital to address the ethical implications of AI technologies, as they can significantly impact societal structures and individual lives.
KDnuggets
APRIL 7, 2025
Experience the state-of-the-art AI models in seconds, effortlessly, and hassle-free.
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
Hacker News
APRIL 7, 2025
They are wildly successful, said Google Threat Intelligence Group expert Michael Barnhart, who has been tracking North Korea and collecting intelligence broadly for decades.
APRIL 7, 2025
Retaining top AI talent is tough amid cutthroat competition between Google, OpenAI, and other heavyweights. Googles AI division, DeepMind, has resorted to using aggressive noncompete agreements for some AI staff in the U.K.
Hacker News
APRIL 7, 2025
Colossal, a genetics startup, has birthed three pups that contain ancient DNA retrieved from the remains of the animals extinct ancestors. Is the woolly mammoth next?
APRIL 7, 2025
With Llama 4, Meta fudged benchmarks to appear as though its new AI model is better than the competition. Over the weekend, Meta dropped two new Llama 4 models: a smaller model named Scout, and Maverick, a mid-size model that the company claims can beat GPT-4o and Gemini 2.
Speaker: Yohan Lobo and Dennis Street
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.
Hacker News
APRIL 7, 2025
Im thrilled to share that Cloudflare has acquired Outerbase. This is such an amazing opportunity for us, and I want to explain how we got here, what weve built so far, and why we are so excited about becoming part of the Cloudflare team. Databases are key to building almost any production application: you need to persist state for your users (or agents), be able to query it from a number of different clients, and you want it to be fast.
APRIL 7, 2025
Were a few years into a supposed artificial intelligence revolution, which could and should have been about reducing mundane tasks and freeing
Hacker News
APRIL 7, 2025
Imbuing his work with a volatile mix of tenderness, aggression, sophistication, and obscenity, the Roman poet left a record of a divided and fascinating self.
APRIL 7, 2025
Explore the 2025 AI Index from Stanford Universitys Institute for Human-Centered Artificial Intelligence. These 12 charts reveal key trends, costs, and impacts of AI in 2025.
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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