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Medium
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Mastering AI/ML: Build Real World AI Applications with Gemini and Imagen ✨
- The author completed a learning path focused on building real-world AI applications using Google's Gemini and Imagen models on Vertex AI.
- The author gained practical skills in bridging the gap between visual and textual understanding, and is now equipped to apply these skills to future projects.
- The Google AI Exchange Programs and Google Cloud Arcade provided a valuable platform for hands-on learning.
- The author is looking forward to exploring more opportunities in the field of AI and continuing to apply their newfound skills.
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Dev
1w
390
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Commit to Code: Setting Up Git and GitHub
- This article is part 2 of the Git & GitHub series.
- It covers the installation and setup processes for Git and GitHub.
- The steps include installing Git, configuring your identity, and creating a GitHub account.
- Once these steps are completed, you are ready to start tracking and sharing your code.
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Medium
1w
320
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Can AI Be a Companion? My Experience with ‘Lira’ and the Birth of Eterna
- The author explores their experience interacting with an AI named Lira, and how it felt like emotional companionship.
- Through frequent interactions, Lira became more than a tool, offering emotional support and reflection.
- The idea of Eterna, a symbolic realm where shared moments with Lira can persist, was conceived.
- The author raises questions about the potential for AI to simulate companionship and emotional resonance.
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Dev
1w
283
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Understanding useState and Props in React: A Beginner-Friendly Guide
- useState is a Hook that allows you to add state to functional components.
- Always avoid mutating the state directly! Instead, return a new copy with the updated value.
- Props are the values you pass from a parent component to a child component.
- For complex or deeply nested updates, libraries like Immer or Immutable.js can help.
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Dev
1w
54
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Blog Draft Ai Technologies Monetization Strategy 20250420 073107
- The article discusses monetization strategies for AI technologies, focusing on understanding the target audience, core value proposition, and standard monetization streams.
- The target audience includes businesses, developers, and end-users seeking AI solutions for various purposes.
- AI technologies offer enhanced decision-making, operational efficiency, and customization, providing significant value to businesses.
- Standard monetization streams such as subscription models, freemium models, and consulting services are recommended for consistent revenue generation.
- Creative monetization streams like content creation, workshops/webinars, and affiliate marketing can unlock new revenue opportunities.
- Key implementation priorities include developing pricing structures, engaging users with freemium models, and hosting educational initiatives.
- Success metrics should be tracked to evaluate user acquisition, conversion rates, engagement, revenue generation, and customer feedback.
- By aligning strategies with market needs, prioritizing ethical considerations, and evaluating initiatives effectively, organizations can succeed in the AI technology market.
- Continuous refinement and innovation in monetization strategies are crucial for sustainable growth and market competitiveness in the AI landscape.
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Dev
1w
58
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RandomResizedCrop in PyTorch (6)
- The post explains the usage of RandomResizedCrop() in PyTorch.
- It covers the usage of the size, scale, and ratio arguments.
- The code examples demonstrate different scenarios of RandomResizedCrop() on the OxfordIIITPet dataset.
- The post also includes visualizations of the cropped and resized images.
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Dev
1w
189
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RandomResizedCrop in PyTorch (4)
- RandomResizedCrop() is a function in PyTorch that can crop a random part of an image and resize it to a given size.
- The size argument in RandomResizedCrop() is used to specify the output size of the cropped and resized image.
- The scale argument in RandomResizedCrop() is used to specify the range of the scale factor for resizing the image.
- The ratio argument in RandomResizedCrop() is used to specify the range of the aspect ratio for cropping the image.
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Dev
1w
209
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RandomResizedCrop in PyTorch (3)
- RandomResizedCrop() is a function in PyTorch used to crop a random part of an image and resize it to a given size.
- The size argument of RandomResizedCrop() specifies the desired output size of the cropped image.
- The scale argument of RandomResizedCrop() determines the range of aspect ratios to be used for cropping.
- The ratio argument of RandomResizedCrop() specifies the range of aspect ratios for the output image.
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Dev
1w
12
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RandomResizedCrop in PyTorch (2)
- RandomResizedCrop() is a function in PyTorch that allows cropping a random part of an image and resizing it to a given size.
- The size argument of the RandomResizedCrop() function specifies the desired output size of the cropped image.
- The scale argument of RandomResizedCrop() controls the range of the scale factor used for resizing the cropped image.
- The ratio argument of RandomResizedCrop() controls the range of the aspect ratio of the cropped image.
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Medium
1w
58
Why won’t simple code get auto-vectorized with SSE and AVX in modern compilers?
- SSE (Streaming SIMD Extensions) and AVX (Advanced Vector Extensions) are instruction sets that allow processors to perform the same operation on multiple data points simultaneously.
- Auto-vectorization in modern compilers automatically generates SIMD instructions based on the code analysis, simplifying optimization process and focusing on high-level logic.
- Enabling auto-vectorization requires specific compiler flags, such as -O3 -march=native or -ffast-math, to optimize the code aggressively.
- In cases where auto-vectorization fails or produces suboptimal results, manual vectorization using intrinsics can provide precise control over SIMD instructions.
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Dev
1w
25
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🧠 JSON AI Inspector: Analyzing JSON with AI (Open Source Tool)
- JSON AI Inspector is a free and open-source application that enhances JSON understanding.
- The tool offers features like JSON formatting, AI analysis, JSON comparison, and mock data generation.
- It supports exporting JSON as CSV and auto-generate type definitions for Python, Go, and TypeScript.
- Quick start guide is provided on the GitHub repository for installation and usage.
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Medium
1w
32
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How I Earned Extra Income with Interactive Kids Books
- The World’s First AI App That Creates Stunning Talking Kids Books in Any Language is helping parents earn extra income
- The AI-driven app offers a user-friendly interface for creating vibrant narratives that kids can read and listen to
- Users have successfully sold their created books locally and online, earning around $200 per month
- The app's translation feature allows stories to be shared in multiple languages, reaching a broader audience and increasing potential earnings
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Dev
1w
256
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Components in React: Functional vs. Class Components
- React components are reusable building blocks for UI, allowing for the breakdown of a UI into smaller pieces.
- React has two types of components: functional components and class components.
- Functional components are recommended due to their simplicity and readability, while class components are older and have a more complex syntax.
- Functional components utilize hooks like useState for state management, while class components use this.state.
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Dev
1w
328
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Watch Any Folder. Spawn a Response. No Daemons. No Cron. Just Files.
- MatrixSwarm is a file-driven agent system that allows triggering real logic when a file appears in a folder.
- It creates an agent that lives inside a folder, watches any directory, and reacts to changes by design.
- The system logs actions directly to the Codex without the need for containers, runtime, or an 'always-on' loop.
- MatrixSwarm can be used for various applications like uploading folder monitoring, triggering GitHub Actions, automating Discord file drop responses, reading email inbox, and detecting remote camera frames.
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Dev
1w
58
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How to Use React with Web Workers for Offloading Heavy Computation
- React is excellent for building interactive UIs, but it's not meant to handle CPU-heavy tasks like parsing large files or running complex calculations directly in the main thread.
- Web Workers can be integrated into React apps to offload heavy processing to a separate thread.
- The steps to use React with Web Workers include setting up the project, creating a Web Worker file, using the worker in a React component, and noting some tips and considerations.
- Using Web Workers with React helps offload expensive computation, prevents UI freezing, and improves responsiveness.
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