🤖 Matrices for Machine Learning with Python

🦾Plus: 🤖 China’s Baidu launches ultra-cheap AI models

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Hey folks! Let’s get into Big Data and AI craziness…

In today's edition: What's Shaping the Future of Data?

  • 🗄️In S3 simplicity is table stakes 

  • 🧩9 Software Architecture Patterns for Distributed Systems 

  • đź“ŠTop 7 Open-Source LLMs in 2025

  • 🤖 China’s Baidu launches ultra-cheap AI models

  • ⚖️ Judge rejects Musk's bid to block OpenAI's evolution

  • 🧪 Harvard team creates AI agent for personalized medicine

  • 📱 Siri all-hands leaks

  • 🤖Tern AI's low-cost GPS alternative actually works

  • đź’ˇAI Tutorial:How to Screen Share with ChatGPT

  • 🤖 AI Tools and Data Tools to checkout

In the current digital age, the sheer volume of data generated is truly staggering. From social media interactions to sensor data from IoT devices, organizations are inundated with vast amounts of information. But how can businesses turn this uncontrolled influx into valuable insights? The answer lies in advanced AI development techniques that are revolutionizing big data management.

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The past year has seen some really interesting feature launches for S3 tables that remove limits and make S3 simpler. A lot of work has gone into the properties that make S3 simple - the S3 team considers themselves successful only when these things can be taken for granted as that means they aren't distractions.

The article presents nine essential architectural patterns for distributed systems, including Peer-to-Peer, API Gateway, Pub-Sub, Request-Response, Event Sourcing, ETL, Batching, Streaming Processing, and Orchestration. These patterns provide proven solutions for managing data and communication flow in modern software development, ensuring reliability, scalability, and maintainability.

This guide introduces how to define and use matrices in Python, their operations, and an outline of their uses in ML processes. Matrices are a key concept not only in linear algebra but also with regard to their prominent application and use in machine learning (ML) and data science.

These models are free to use, can be fine-tuned, and offer enhanced privacy and security since they can run directly on your machine, and match the performance of proprietary solutions like o3-min and Gemini 2.0.

👨‍💻 Data Tools, Libraries

TinySQL is a course designed to teach you how to implement a distributed relational database in Go

FilePizza (GitHub Repo)

FilePizza enables peer-to-peer file transfers inside the browser.

AI News:

Chinese tech giant Baidu just released two aggressively priced multimodal AI models — ERNIE 4.5, a significant upgrade to their foundational model, and a new deep-think-capable model called Ernie X1. ERNIE 4.5 stands out with enhanced “EQ” and language skills as well as improved hallucination prevention, logical reasoning, and coding abilities.

A federal judge has denied Elon Musk’s request for a preliminary injunction against OpenAI's structural changes, while fast-tracking the trial and dismissing several of Musk's claims entirely, according to a March 4, 2025 ruling. The judge said Musk didn’t have "the high burden” for a preliminary injunction but allowed other aspects of the lawsuit with an expedited trial this fall.

Researchers from Harvard and MIT just introduced TxAgent, an AI agent that leverages multi-step reasoning and real-time biomedical knowledge retrieval to generate trusted, personalized treatment recommendations for patients.

A leaked internal meeting shows Apple's struggles to upgrade Siri with advanced AI features. Siri team head Robby Walker admitted the situation is "ugly," noting frustration within the team. Apple aimed to launch significant Siri upgrades with iOS 19, but these features faced delays due to severe quality problems.

Tern AI is building a low cost GPS alternative that can locate the position of a vehicle using only map information and the vehicle's existing sensor data. The system can localize vehicles in parking garages, tunnels, and on mountains, something GPS struggles to do.

AI Tutorial

How to Screen Share with ChatGPT

If you've ever wanted ChatGPT to guide you through a task without constant back-and-forth text, its screen-sharing feature lets you do just that, providing real-time assistance on any project.

Note: To use ChatGPT's screen-sharing feature, you'll need a ChatGPT Plus subscription ($20/month) and the ChatGPT mobile app.

  1. Download the ChatGPT app for Android or iOS and open it to start a new conversation.

  2. Tap the voice mode icon in the bottom right corner to access advanced voice mode.

  3. Tap the three dots and select Share Screen.

  4. When prompted, grant ChatGPT permission to access your screen.

  5. Choose to share your entire screen or a specific app, then tap Start.

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🔥Top AI tools to increase productivity: 

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  4. Augment Code - The first AI coding assistant built for professional software engineers and large codebases.

  5. X Headshot is an AI headshot generator that turns your selfies into professional AI headshots.

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  7. DOMYSHOOT revolutionizes product photography with cutting-edge AI technology.

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