The landscape of generative AI development is evolving rapidly but comes with significant challenges. API usage costs can quickly add up, especially during development. Privacy concerns arise when sensitive data must be sent to external services. And relying on external APIs can introduce connectivity issues and latency. Enter Gemma 3 and Docker Model Runner, a powerful combination that brings state-of-the-art language models to your local environment, addressing these challenges head-on. In this blog post, we’ll explore how to run Gemma 3 locally using Docker Model Runner. We’ll also walk through a practical case study: a Comment Processing System that analyzes…
Author: drweb
Many programs require configuration. Most have a default configuration and many allow the user to adjust that configuration. There are many different types of configuration files. Some use text files while others use databases. Python has a standard library called configparser that you can use to work with Microsoft Windows INI files. In this tutorial, you will cover the following topics: An example INI file Creating a config file Editing a config file Reading a config file By the end of this tutorial, you will be able to use INI configuration files programmatically with Python. Let’s get started! Example INI…
TLDRNLTK PUNKT is an unsupervised trainable tokenizer that splits text into sentences. You can install it with nltk.download(‘punkt’). PUNKT automatically recognizes abbreviations, acronyms, and sentence boundaries without manual annotation. You can train it on your own corpus to improve accuracy for domain-specific text. This tokenizer works across multiple languages and handles punctuation marks intelligently.NLTK (Natural Language Toolkit) offers various modules for NLP tasks, but NLTK PUNKT stands apart through its ability to learn from raw text without supervision. This makes it particularly valuable when working with technical content, legal documents, or specialized fields where unusual abbreviations or sentence structures appear.What…
The role of the developer is undergoing a huge shift due to the influence of artificial intelligence (AI) and the emergence of low-code and no-code platforms. AI agents are helping to shift developers’ focus from long hours of manual coding to high-value problem-solving, architecture and decision-making processes. We are seeing developers embrace this change: Salesforce’s recent State of IT survey reveals that a staggering 96% of developers are excited about AI’s impact on their careers. This isn’t just about automation; it’s about augmentation. The survey findings also show that developers are eager to use AI agents for tasks such as debugging,…
When your Ubuntu system suddenly freezes, it can be very frustrating, especially if you’re working on something important project. Although Ubuntu is generally reliable and fast, it can still freeze occasionally, just like any other operating system, which can happen due to various reasons, such as hardware problems, excessive resource usage, driver issues, or software bugs. In this guide, you’ll learn how to find out why Ubuntu is freezing and how to fix it. We’ll start with easy steps for small problems and also look at some advanced fixes if needed. Whether just one app is frozen or your whole…
Google CEO Sundar Pichai recently revealed that over 25% of Google’s new code is artificial intelligence (AI)-generated, a staggering statistic that underscores how large language models (LLMs) are reshaping software engineering. Let’s dive into how LLMs are reshaping the role of a software engineer. Setting Expectations LLMs excel at generating boilerplate code, summarizing and explaining concepts and assisting with unfamiliar languages and frameworks, though they often struggle with complex reasoning and deeply contextual tasks. Current generation LLMs are more like advanced autocomplete tools that select the most probable answer, not true intelligence. They sometimes hallucinate information and make mistakes, so human judgment…
Today’s applications must keep up with changing times to combat new security threats and challenges. Businesses have been releasing newer versions of their source code — often several times a day — and implementing robust application security measures even more challenging. Since applications today are more vulnerable to security threats, organizations should devise security strategies that leverage newer technologies to address these threats. Code-to-cloud security is an approach that entails blending security into every stage of cloud application development lifecycle. Understanding the Problem While businesses strive to deliver software quickly, traditional security strategies cannot keep up with the evolving security landscape. You can…
Python is a programming language known for its clear rules and gentle learning curve. It helps young learners form a strong coding foundation. By using Python, students gain skills in logic and creativity. Those skills can be transferred to many fields, such as math or computer science. Schools often choose Python for its ease of use.In the write paper for me review written by john milovich, there is a discussion about online tools for academic tasks. Students might wonder, “Is coding different from writing a good essay?” In both cases, structure and clarity matter. Python’s simple design supports thinking in…
This month’s invite is from Erik Darling, who invites you to make a video on any topic of your choice. I liked his reasoning for this and appreciate his education on how to prevent our content from being stolen and get credit as due. The post T-SQL Tuesday #185: Video appeared first on SQLServerCentral.
An analysis of more than 101 million application security alerts conducted by OX Security, a provider of an application security posture management (ASPM) platform, finds only 2% to 5% require immediate action, with more than 95% considered informational.On average, an organization faces 569,354 security alerts across an average of 469 active applications, which the report surmises can be reduced to 11,836 through context-based prioritization. That suggests that only 202 of these issues are critical, according to the report.Specifically, 32% of the issues discovered have low exploit risk, while there is no public exploit for a quarter of the vulnerabilities that…