Articles for category: AI Tools

Unsloth – Getting Started

Unsloth has become synonymous with easy fine-tuning and faster inference of LLMs with fewer hardware requirements. From training LLMs to converting them into various formats, Unsloth offers a host of functionalities. Figure 1. Unsloth text streaming demo. This article will cover some of the most important aspects of starting with Unsloth. What will we cover while getting started with Unsloth? What is Unsloth? Why do we need Unsloth? How to install Unsloth on Ubuntu? How to we run inference with various LLMs? What is the ShareGPT chat template format and why do we need it? How to figure out chat

Data Machina #259 – by Carlos

Prompt Engineering 2.0. Prompt engineering is not going anywhere any time soon. The AI Goliaths have invested 10’s of billions in LLMs & Large Multimodal Models (LMMs), which today -for better or for worse- dominate “modern AI” totally. Due to the way these models were designed and developed, inevitably, to get solid output results from these models you need to instruct them with natural language prompts. Prompt engineering is like Marmite. Many of my hardcore s/w engineers friends absolutely hate prompt engineering. They dismiss it as “random, unreliable pseudo-programming using English language.” But some love it like Marmite. Regardless, if

DeepSeek in Action: Practical AI Applications Transforming Chinese Healthcare

This Q&A explores the practical implications of DeepSeek’s implementation in Chinese healthcare, drawing directly from the findings and analysis presented in the recent paper ‘DeepSeek reshaping healthcare in China’s tertiary hospitals’. What is DeepSeek, and how is it being deployed in Chinese hospitals? DeepSeek is an AI solution being rapidly adopted across China’s tertiary hospitals to improve clinical decision-making and operational efficiency. Its rollout began in Shanghai, with hospitals like Fudan University Affiliated Huashan Hospital testing the DeepSeek 70B model, and has expanded nationwide (Shenzhen, Liuzhou, Chengdu). Crucially, deployments are localized within hospital intranets for data security. The focus is on practical

Seemingly Paradoxical Rules of Writing

Having written close to 200 pieces on this site, and dozens of docs on the job, I’ve come to realize that, with regard to writing, there are many rules and also no rules at all. • • • use simple words to be clear and concise use complex words to be sharp and precise write short sentences for the punch write long sentences to convey nuance invest 80% effort into an intro that hooks skip the intro, just get into the nooks write for a wide audience to maximize reach write for an audience of one, dive into a niche

Developers, burnout is real! 🚀 Tight deadlines, endless context switching & unclear tasks can drain your energy. But with the right project management, you can stay productive & stress-free. Check out how Teamcamp helps streamline workflows!

Pratham naik Follow Project Manager | Passionate about Agile, collaboration, and building efficient workflows | Helping teams streamline project management with the right tools & strategies | Explore more with Teamcamp Location india Education Bachelor’s Degree in Project Management Work Project Manager at Teamcamp Joined Jan 7, 2025 Source link

Part 3: A Survey of Analytics Engineering Work at Netflix | by Netflix Technology Blog

This article is the last in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Need to catch up? Check out Part 1, which detailed how we’re empowering Netflix to efficiently produce and effectively deliver high quality, actionable analytic insights across the company and Part 2, which stepped through a few exciting business applications for Analytics Engineering. This post will go into aspects of technical craft. Rina Chang, Susie Lu What is design, and why does it matter? Often people think design is about how things

Data Lake vs. Data Warehouse vs. Database: Key Differences Explained – BMC Software

Data storage is a big deal. Data companies are in the news a lot lately, especially as companies attempt to maximize value from big data’s potential. For the lay person, data storage is usually handled in a traditional database. But for big data, companies use data warehouses and data lakes. Data lakes are often compared to data warehouses—but they shouldn’t be. Data lakes and data warehouses are very different, from the structure and processing all the way to who uses them and why. In this article, we’ll: Defining database, data warehouse, and data lake Let’s start with the concepts, and

Quickstart to Lightning Fabric – Lightning AI

Takeaways Readers will learn how to convert and scale PyTorch models and training loops with Lightning Fabric. Introduction Some engineers may prefer the greatest amount of control as possible over their PyTorch training loop. Yet, those same engineers also know the benefits of a lightweight, production ready framework that handles the heavy lifting when it comes to SOTA distributed training features. The Power of Lightning Fabric Lightning Fabric does this heavy lifting by enabling researchers and machine learning engineers to train PyTorch models at scale – and with minimal code changes. In as few as five lines, Lightning Fabric orchestrates