A few decades ago, quality training was scarce and costly. Thanks to the convergence of several new advancements, software vendors now provide online training to a worldwide audience, making skill acquisition more accessible than ever. Microsoft offers its Microsoft Learn platform, Google provides Google Skills , and Oracle University is doing a great job of delivering training for their products while also covering higher-level concepts relevant to the database, cloud, and AI domains. The following Oracle certification exams are free to take and come with learning resources: Oracle Cloud Infrastructure Foundations Associate (1Z0-1085-26) Oracle Cloud Infrastructure Architect Associate (1Z0-1072-26) Oracle Data Center Operations Foundations Associate (1Z0-3000) Oracle Multicloud Foundations Associate (1Z0-1144-26) Oracle Cloud Infrastructure AI Foundations Associate (1Z0-1122-26) Oracle AI Database Foundations Associate (1Z0-1195-26) Additionally, Oracle University offers many ...
Open Food Facts (OFF) is a crowd-sourced database of food products from around the world. Somewhere in the world, a shopper scans the barcode on a packet of biscuits and adds basic product details. Another person photographs a package label for the same product in Hyderabad. A volunteer in France fixes a typo. That's Open Food Facts, a volunteer-built, openly licensed database of food products that's continually changing and growing. Each product is identified by a barcode and carries ingredients, nutrition facts, brands, labels and more. The whole database has millions of products, and let's say you only want the products recorded as being sold or available in one country like India. There are multiple ways to extract a subset of the OFF database. I have already tried using the daily dump available on Hugging Face through Google Colab and GitHub Actions in the past but it blew my mind that using the OFF deployed Apache Superset , you can execute a SQL query in a brows...
This Week I Learned - * Indra OCR 1.1 is a 1M param model from Datalab that runs on CPU, 15x faster than Tesseract and much more accurate. 1M param OCR model - runs on CPU, 15x faster than tesseract, close to 1B+ param models in accuracy * Coding is the mother of all AI use cases with 90% of AI spends in most enterprises going to AI coding. Via AI lets developers use what they are using but cuts the costs by 25% - 40%. - Rajan Anandan * Via is a middleware that sits between a CLI / IDE and an LLM, installs in 10 seconds * AI models learn patterns from data during training. Their trained parameters, called weights, are numerical values that help fix how the models process inputs and generate responses. Think of an AI model as a chef who learnt from thousands of recipes. During training, the model learns patterns that help it decide what ingredients to combine and in what proportions to make a certain dish. Its weights shape these decisions. Making the weights av...