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How AI Models Adapt to Changing Environments: Real-World Insights
- Artificial intelligence (AI) models must possess abilities beyond their initial training if they are to be successfully deployed in fast-changing, dynamic settings; they must be able to adapt continuously to new demands and contexts.
- Present AI models are often trained on static datasets optimized for specific tasks then deployed without further learning.
- If changes in the environment occur, the models will begin to perform less well or even become obsolete.
- To overcome that major weakness, continual learning or lifelong learning has been developed; this model learns new tasks in sequence without forgetting the previously learned information.
- Other techniques include transfer and fine-tuning learning, involving pre-training an AI model on a general dataset, so that it can be trained on more specific, smaller datasets.
- Reinforcement learning (RL) sees the model learn through trial and error by interacting with the environment and using feedback derived from those interactions.
- Meta-learning or learning to learn, where the model is taught how to learn efficiently from a range of larger tasks.
- Adversarial learning is where two different AI models are used, generating realistic samples of data while distinguishing between real and generated samples to force the initial generator model to adapt to the discriminant model's scrutiny.
- The ability to adapt to changing environments and contexts is essential to the successful deployment of AI models in real-world situations where there may be shifting conditions and unforeseen challenges.
- Adaptive AI can benefit a range of industries, from healthcare and finance to agriculture and manufacturing.
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Medium
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181
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Chain of Thought Prompting
- Chain of thought prompting is an AI technique that breaks difficult problems into small steps for improved problem-solving and decision-making.
- It allows AI systems to provide step-by-step reasoning instead of one-step answers.
- This method enhances transparency and accuracy, making users understand the reasoning behind AI's responses and building trust in the system.
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Dev
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329
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WICK-A11Y 1.4.0: Not Everything Needs to Fail a Test!
- The wick-a11y plugin version 1.4.0 introduces the ability to configure impact levels separately, distinguishing between test failures and warnings.
- The new version includes the onlyWarnImpacts option for the cy.checkAccessibility() command, allowing for warnings without failing the test.
- The release also ensures compatibility with Allure reports by replacing the move task with a copy task for screenshots.
- Overall, the wick-a11y plugin enhances control over accessibility violations and improves integration with reporting tools.
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Medium
1w
8
One-liner reverse shell — now even script kiddies can do it too.
- LLMs are being used by script-kiddies to generate malicious code and advance hacking techniques.
- AI-powered LLMs make it easier for script-kiddies to create real threats by combining AI with their limited technical knowledge.
- Python, being widely used in security and AI, is a preferred language for generating malicious code using LLMs.
- An experiment using ChatGPT resulted in obtaining a one-liner python reverse shell script code without any prior experience or understanding.
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Dev
1w
93
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Back To Basics: git
- The post covers some configuration options for Git, analysing the author's personal preference for Git global referred configuration files.
- The author configures Git to report on contributors' activity history with features enabled such as repeated line coloring and email reporting.
- The author also adds color to Git's UI configuration, maximizing the use of color in ANSI coded terminals.
- Git's column-display Formatter for certain commands is set as a preference in the author's configuration.
- The author emphasized the use of GPG cryptography signing for commits for collaboration authenticity.
- The build-in monitor setting can reduce external program's need when git required refreshing the git index, thus maximizing Git commands refresh speed.
- Git's user information configuration is also added to the author's global Git configuration.
- The author also configures writeCommitGraph to automatically generate graphs in Git files whenever git fetch is called.
- The article briefly outlines and helps users navigate through Git's global configuration to tailor their specific preferences.
- The article shares the author's Git global configuration file whose settings optimize the author's productivity.
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Dev
1w
312
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Working on Redis streams? Don't forget these commands.
- Redis streams are used for real-time communication and queue management.
- XADD command adds new entries to a stream with field-value pairs.
- XREAD command reads entries from one or more streams.
- XGROUP CREATE creates a consumer group for stream processing.
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Medium
1w
177
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Decoding Binary into Characters for Code and Images
- Computers utilize encoding standards like ASCII to map binary sequences to specific characters.
- Compilers translate high-level code into machine code, converting code into binary instructions.
- Digital images are composed of pixels with binary values that define color and intensity.
- Encoding schemes like ASCII and Unicode ensure standardized representation of text in binary form.
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Dev
1w
152
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🚀 Introducing **Preadme**: Your Ultimate README Generator!
- Introducing Preadme: Your Ultimate README Generator!
- Preadme is a powerful tool for developers, created to streamline the process of README creation.
- Key features include an interactive UI, customizable sections, markdown support, live preview, download and export options, default templates, and it is open source.
- Preadme is built using React, Tailwind CSS, Vite, React Router, Zustand, Lucide Icons, and React Markdown.
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Dev
1w
385
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How to Configure Gmail SMTP Server Settings
- Configuring Gmail’s SMTP server settings allows you to send emails programmatically or through applications using your Gmail account.
- SMTP Server Address: smtp.gmail.com
- Port: For SSL: 465, For TLS/STARTTLS: 587 (commonly used)
- Authentication: Required
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Medium
1w
207
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9 Ways Python Can Revolutionise Your Product Management
- Python offers a treasure chest of tools to supercharge your workflow.
- Even non-coders can use Python with AI-powered tools and low-code platforms.
- Mastering Python applications can help Product Managers work faster and make better decisions.
- Python's impact is amplified by AI technology.
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Dev
1w
351
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🚀 React Best Practices for Scalable Frontends: Part 1 – Folder Structure and Organization
- Starting with a simple monolithic app or planning for a distributed system, code structure and organization will play a significant role in success.
- Consistent and logical folder structure is the backbone of a scalable React application
- In a Feature-Based Structure, files are grouped by features or UI components.
- In a Domain-Based Structure, files are grouped by business domains rather than individual features.
- default exports for components and named exports for utilities and hooks to maintain clarity.
- For smaller or medium-sized projects, colocating test files alongside components keeps related files close together.
- Maintaining high code quality is crucial for scalability: tools like ESLint and Prettier can help.
- A good README.md file serves as a manual for your project, keep it updated and informative.
- In the next article, state management in React will be explored to dive deep into best practices for managing state in your React application.
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Dev
1w
181
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Test-Driven Development (TDD) with Bun Test
- Test-driven development (TDD) is a software development practice that involves writing tests before writing code.
- Bun Test is a built-in testing tool that helps with TDD and is known for its speed and simplicity.
- To set up your JavaScript project with Bun Test, you can use the bun init command.
- When writing your first test with Bun Test, it's important to define all of the testing scenarios you want to cover.
- To run the same tests with different input values, you can use the each() method in Bun Test.
- Test coverage is a metric that measures the percentage of your codebase executed during automated tests.
- While high test coverage is important, it's not the only measure of code quality.
- Adopting TDD promotes a mindset of writing testable, modular code from the start.
- Start small, iterate often, and let your tests guide your implementation.
- By focusing on requirements first and ensuring functionality through iterative testing, you can write clean, maintainable, and robust code.
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Medium
1w
355
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How I Earned $500 a Week with AI Influencers
- AI Influencers have revolutionized online marketing and content creation.
- The AI Influencers tool allows customization and mimics human-like interaction.
- Using AI influencers saves time and ensures consistent content.
- AI influencers can help establish credibility, attract partnerships, and increase earnings.
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Dev
1w
203
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Send emails using Nodemailer (Typescript)
- Nodemailer is a package/module used to send emails via JavaScript/TypeScript.
- To start sending emails using Nodemailer, you need to follow these steps:
- Step 1: Create a folder and open it with VSCode.
- Step 2: Initialize a package/project and install TypeScript globally.
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Medium
1w
215
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Conquering Polars’ Rust NAPI Borrow Checker: A Practical Guide
- Polars, a blazing-fast DataFrame library for Rust, provides a convenient way to work with tabular data.
- Understanding how Polars manages ownership and borrowing of data within its DataFrame structures is crucial to write efficient and safe code.
- Techniques such as using immutable operations, cloning, and breaking down operations can help overcome borrow-checker issues in Polars.
- Advanced techniques like optimizing data types, leveraging lazy evaluation, and constructing efficient pipelines can enhance the performance of Polars applications.
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