ML Analytics Research

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What if GenAI didn’t require a brand-new flagship phone—or even a GPU?

With ExecuTorch 0.7, KleidiAI is now enabled by default, bringing automatic acceleration to billions of Arm-based devices—including phones 3–5 years old and even Raspberry Pi 5.

It’s turn-key performance for LLMs and on-device AI—powered by Arm CPUs and the SDOT instruction.

This isn’t future-looking. It’s happening now.

👉 https://hubs.la/Q03CzKFZ0

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Explore how PwC swapped out a proprietary model for fine-tuned Llama 3.1 8B to save 70% on inference costs and reach over 90% accuracy with Digital Workmate, its intelligent document processing solution.

You’ll learn how Llama’s open-source flexibility and portability for local hosting helped PwC provide its clients with an effective, cost-efficient and secure solution to automate document processing.

Read the full story here: https://bit.ly/4mMbHYV

Linus Torvalds is way too cool to care about AI. That's exactly why AI won't replace him. Credit: The reel is based on the video "Linus Torvalds on the kernel, GenAI, EVs, programming languages and more..." from the YouTube channel TFiR. #CusDebMagazine #TechJournal #TechMagazine #LinusTorvalds #AI

🚀 New short course: Orchestrate GenAI workflows with Apache Airflow Notebooks are great for prototyping, but what happens when your GenAI app needs to scale, run reliably, and recover from failure? In our new short course built in collaboration with Astronomer, you’ll learn to take a RAG prototype and turn it into a production-ready workflow, orchestrated with Apache Airflow 3.0. Taught by Kenten Danas and Tamara Fingerlin, this course will teach you how to: 🔹 Break your workflow into modular tasks 🔹 Schedule pipelines using time-based and event-driven triggers 🔹 Run tasks in parallel with dynamic task mapping 🔹 Add retries, alerts, and backfills for fault tolerance 🔹 Scale your pipelines with techniques used in real-world apps like Ask Astro No Airflow experience needed! 📚 Take the course now → https://hubs.la/Q03rHH1N0