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Series reminder: This series explores how explainability in AI helps build trust, ensure accountability, and align with real-world needs, from foundational principles to practical use cases. Previously, in Part VI: What LIME Shows, and What It Leaves Out, Strengths and limits of local explanations.
Recently I started working on an experimental language called PlainLang, with the idea of making programming feel closer to natural conversation. Instead of symbols and punctuation, you write in full sentences like: set the greeting to "Hello World". show on screen the greeting. From a technical standpoint, there were a few interesting challenges i thought might be worth sharing here: Parsing βlooseβ English:...
Ryan welcomes Jeffrey van Gogh, Director of Engineering, Android Developer Experience, at Google and board member of the Kotlin Foundation. They discuss the evolution of the Kotlin language from JVM to multiplatform, how their governance board works with the community to stop breaking changes, and the intricacies of Kotlinβs multiplatform capabilities beyond just Android.
With the relaxation of sanctions and export controls on Syria, GitHub will once again be broadly available to Syrian developers. The post GitHub is enabling broader access for developers in Syria following new government trade rules appeared first on The GitHub Blog.
Among the Agile methodologies, Scrum is the main tool for software development that advances openness, adaptability, and ongoing learning. Scrum ceremonies include the sprint planning, daily stand-up, sprint review, and sprint retrospective. These ceremonies are structured events that drive collaboration, alignment, and delivery. Per Gartnerβs report, among the 80% of organizations performing agile development, 87% use...
Organizations want to leverage the power of LLMs like GPT or PaLM to solve business problems, but they're rightfully hesitant about sending sensitive dataβespecially Personally Identifiable Information (PII)βover the internet to third-party hosted models. This article explores a powerful mitigation technique using anonymization and de-anonymization to protect sensitive data while still enabling effective LLM usage in...
At ShiftMag we recently explored an angle of software engineering that doesnβt get much attention: the cost of saying βnoβ. We often hear that being able to refuse is a vital soft skill β but refusing also carries a psychological and professional price. Declining can create stress, trigger anxiety, and even feel like a career risk, especially in environments where overcommitment is the norm. Meanwhile, saying βyesβ is...
The digital infrastructure we've built resembles a house of cards. One compromised dependency, one malicious commit, one overlooked vulnerability and the entire edifice comes tumbling down. In March 2024, security researchers discovered something terrifying: a backdoor lurking within XZ Utils, a compression library so ubiquitous it had infiltrated thousands of Linux distributions worldwide. The attack vector? A...
Agentic AI is a game changer and a hot topic in nearly every boardroom conversation today. Thereβs no doubt that companies not think AI-first risk becoming irrelevant. But before you rush to build or deploy an AI agent, itβs important to pause and ask some tough questions. Not every problem requires an AI agent, and without the right foundation, especially around data, agentic AI can quickly become a costly and risky...
Explore how MCP elicitation transforms AI tool interactions by gathering missing information upfront. The post Building smarter interactions with MCP elicitation: From clunky tool calls to seamless user experiences appeared first on The GitHub Blog.
Developers and DevOps teams working in Kubernetes tend to focus primarily on performance and pay little attention to the cost side of things. When workloads are running smoothly and meeting SLAs, budget considerations often take a backseat until some external force (normally in the form of the finance team) demands that itβs optimized. However, the reality is that ignoring cost until finance steps in only leads to...
Fine-tuning helps you become a master and professional in AI engineering. We just posted a course on the freeCodeCamp.org YouTube channel that offers a comprehensive guide to fine-tuning LLMs, taking you from the basics to advanced practical applicat...
You wouldn't try to design a product by focusing on one piece at a time. The best products in the world solve problems by reimagining, not by incremental improvements. So why, with AI as the largest technical innovation in recent history, are so many products focusing on improving each step individually, when we complete work in teams? You may be saying βWhat are you talking about? AI is redefining industries right...
Natural language processing (NLP) models depend heavily on data, but obtaining high-quality labeled data at scale is one of the biggest hurdles. It quickly becomes clear that throwing more raw data at an NLP problem doesn't really help much - itβs the labeled data that really drives improvement. This is where active learning and a human-in-the-loop approach become invaluable. They help us prioritize which data to...
Background A single mobile tap can trigger a number of events behind the scenes β API calls to microservices, messages/events sent through queues, writes to databases, and retries on transient failures β all before it returns with a successβ¦ or an error toast. The user doesnβt see this complexity. They donβt know about your autoscaling policy, cache hit ratios, or dependency graphs. They only know whether their ride...
The Visibility Gap in Enterprise Testing Modern test automation has matured. CI/CD pipelines are well-orchestrated, test coverage is high, and nightly regressions run like clockwork. But even with all this structure, one subtle problem still persists: nobody knows when things fail β at least not fast enough, or by the right people. Hereβs how this usually plays out:
So ive just been reading the Carbon Safety documents as I wanted to catch up with what the Google folks have got cooking over there.. ....And what intrigued me is instead of building out their own safe STL type framework library of code they are instead going to re-use the already large collection of libraries from the Rust Cargo System through interop!! They say, and I quote: "The Carbon project will work to avoid...
Artificial intelligence is changing how we work with images. What once took hours in Photoshop can now happen in seconds with AI-powered tools. You can take a blurry picture, enlarge it without losing sharpness, fix the lighting, remove unwanted nois...
Navigating between screens in Flutter is crucial for any app. And while the built-in Navigator API provides functionality, it can get complex for larger projects. This is where go_router shines, offering a more declarative, URL-based, and feature-ric...
In my tenure at TELUS, I was assigned a prominent project requiring substantial technical expertise: the development of a telemetry analytics platform that could analyze data in real-time from over 100,000 set-top boxes (STBs) deployed throughout Canada. The objective was not just about scale; it aimed to assist teams to make quicker operational decisions and enhance the experience for millions of customers. Initially,...
Programming languages are the fundamental tools used to shape the digital world. Every developer has to choose at some point in their careers between general-purpose languages such as Python, Java, and C# and specialized domain-specific languages like SQL, CSS, or XAML. But with the evolution of AI the lines are getting blurred. We are observing shifts in not only how we write code but the definitions of productivity,...
When an event drops silently in a distributed system, it is not a bug, it is an architectural blind spot. In high-scale messaging platforms, particularly those serving real-time APIs like WhatsApp Business or IoT command chains, telemetry failures are often mistaken for application errors. But the root cause lies deeper: observability gaps in event streams. This article explores how backend engineers and DevOps teams...
I had the opportunity to work with Spring Cloud Data Flow streams and batches. The streams work in production and perform well. The main streams used Debezium to send the database deltas to Soap endpoints or provided Soap endpoints to write into the database. The events where send via Kafka. Spring Cloud Data Flow also provides a application to manage the streams and jobs. The streams are build with a data source and a...
Sentence similarity plays an important role in many natural language processing (NLP) applications. Whether you build chatbots, recommendation systems, or search engines, understanding how close two sentences are in meaning can improve user experien...
The Node.js event loop is a concept that may seem difficult to understand at first. But as with any seemingly complex subject, the best way to understand it is often through an analogy. In this article, youβll learn how overworked managers, busy wait...
Have you ever wondered how Google Maps finds the fastest route or how Netflix recommends what to watch? Graph algorithms are behind these decisions. Graphs, made up of nodes (points) and edges (connections), are one of the most powerful data structur...
submitted by /u/ketralnis [link] [comments]
submitted by /u/ketralnis [link] [comments]
In the realm of high-performance computing and network applications, efficient data handling is important. Traditional Input/Output (I/O) operations often involve redundant data copies, creating performance bottlenecks that can limit throughput and increase latency. Zero-copy is a powerful optimization technique that minimizes or eliminates these unnecessary data movements, leading to significant performance gains....
This guide offers five essential tips for writing effective GitHub Copilot custom instructions, covering project overview, tech stack, coding guidelines, structure, and resources, to help developers get better code suggestions. The post 5 tips for writing better custom instructions for Copilot appeared first on The GitHub Blog.
In this article, we are going to discuss three essential joins of Apache Spark. The data frame or table join operation is most commonly used for data transformations in Apache Spark. With Apache Spark, a developer can use joins to merge two or more data frames according to specific (sortable) keys. Writing a join operation has a straightforward syntax, but occasionally the inner workings are obscured. Apache Spark...
The actual bottlenecks were, and still are, code reviews, knowledge transfer through mentoring and pairing, testing, debugging, and the human overhead of coordination and communication. All of this wrapped inside the labyrinth of tickets, planning meetings, and agile rituals. submitted by /u/thewritingwallah [link] [comments]
Container security is all about making sure you run an image that is exceptionally low in vulnerability and malware. I would love to say having zero vulnerabilities, but it is rarely possible in the real world. In the worst case, you at least want to address critical to medium vulnerabilities to have a good night's sleep and avoid potential compromise from bad actors. You could also think of container security like...
This isnβt just your average AI agent tutorial. We just posted a course on the freeCodeCamp.org YouTube channel that is all about getting things done. Lane Wagner of boot.dev will teach you to build your very own AI coding agent from scratch. Using P...
We just published a full beginner's course on the freeCodeCamp.org YouTube channel that will teach you the fundamentals of Mandarin Chinese. This course is designed to guide you to the HSK 1 level. The Hanyu Shuiping Kaoshi (HSK) is China's official ...