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Programming News
Medium
4w
26
Image Credit: Medium
Mini Project with PostgreSQL: Customer & Order Management
- This mini project involves creating a 'Product' table in PostgreSQL for customer and order management.
- Data is being populated to simulate real-world e-commerce operations, emphasizing the importance of meaningful sample data.
- Various queries are demonstrated, including filtering products based on price, retrieving electronic product names and prices, and calculating total order value per customer.
- Over 20 meaningful queries are provided in the 'queries.sql' file to extract business insights like total order value, popular products, and customer activity.
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1 Like
Medium
4w
147
From Classical to Quantum AI: Boosting SBSP MAPLE Efficiency
- A 2014 electronics graduate explored Space-Based Solar Power (SBSP) using classical and quantum AI for efficiency.
- Classical AI optimization achieved zero divergence and increased efficiency to about 0.6, scalable for four antennas.
- Quantum AI attempt with Qiskit VQE failed due to installation errors and AttributeError on Colab.
- Seeking help to set up Qiskit VQE for enhancing efficiency of Caltech's MAPLE SBSP system and pursuing a 2026 PhD.
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8 Likes
Johndcook
4w
410
How Mathematica Draws a Dragonfly
- Mathematica includes code to draw whimsical images like a dragonfly using Fourier series.
- The dragonfly image is created by a parameterized curve expressed through Fourier series with frequencies up to sin(81t).
- To draw such images, the number of Fourier components required depends on the smoothness and complexity of the image.
- The process involves creating the image in software like Adobe Illustrator or Inkscape, then using a Fourier transform on a sample of the curve to generate the parameterized curve.
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24 Likes
Johndcook
4w
263
How often to the hands of a clock line up?
- The hour and minute hand of an analog clock align 22 times a day.
- The first time they align after midnight is at 5/11 of a second past 1:05.
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15 Likes
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Dev
4w
26
Image Credit: Dev
Ng-News 25/21: Google I/O, Spring Camp
- Highlights from ng-news this week include Angular surprises from Google I/O: DevTools profiling improvements and upcoming AI documentation.
- Insights from Angular Spring Camp by Angular Love where Signal improvements, lazy-loading components with @defer, and a Q&A session took place.
- Google I/O featured talks by Mark Thompson and Devin Chasanoff on Angular's future, emphasizing better DevTools integration and new AI documentation.
- A reminder was shared about the upcoming Angular v20 launch event scheduled for tomorrow.
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1 Like
TechBullion
4w
107
Image Credit: TechBullion
Video Engineering Meets AI: Serhii Romanov on the Future of Video Streaming Testing
- Serhii Romanov, an expert in video streaming testing, utilizes AI to transform video streaming quality assurance.
- AI efficiently sifts through massive video streaming data to detect anomalies and predict issues.
- Generative AI tools accelerate test suite creation by suggesting scenarios and checklists based on natural language input.
- AI automates QA tasks like monitoring stream quality, detecting glitches in video frames, and ensuring protocol compliance.
- HLS Analyzer, an AI-driven open-source tool, analyzes streaming content for quality and integrity using machine learning.
- Automation, combined with AI, enhances test case generation, optimization, maintenance, and execution for video testing.
- AI augments rather than replaces QA engineers, allowing them to focus on strategic tasks while AI handles routine work.
- Challenges in video streaming testing include multiple factors like bitrates, codecs, device compatibility, and DRM.
- AI aids in analyzing playback logs, detecting rare conditions causing failures, and scanning streaming metrics for anomalies.
- Serhii Romanov's experience as a judge at AI hackathons highlights the innovative use of AI tools like TensorFlow and PyTorch in video-related projects.
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6 Likes
Dev
4w
424
Image Credit: Dev
Using RAG architecture for generative tasks
- Large language models like LLMs have faced skepticism due to hallucination tendencies, but utilizing them for generative tasks like artistic text can be fruitful.
- To guide LLMs in generating text reflecting personal taste, the author explores using Retrieval Augmented Generation (RAG) architecture.
- RAG combines a language model with a vector database to retrieve and incorporate relevant information for text generation, like creating expert systems.
- The RAG process involves indexing, retrieval, augmentation, and generation stages for utilizing data effectively.
- Setting up the kernel memory embedding data allows for generating tailored text based on provided information.
- To enhance variativity in LLM-generated text, synthetic data can be generated and embedded alongside the original dataset to improve results.
- Formulating effective prompts is crucial for optimizing LLM performance, with controlling the relevant document count being a valuable metric.
- The approach of employing LLMs for generative tasks benefits from techniques like RAG, prompt engineering, and synthetic data generation to influence output quality.
- Using RAG architecture in conjunction with LLMs showcases how to guide text generation with personal preferences, enhancing the quality of the produced output.
- The technical aspect of leveraging LLMs for generative tasks is highlighted, emphasizing the efficiency of these models without extensive custom model training efforts.
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25 Likes
Technically Dev
4w
204
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What is MCP?
- MCP stands for Model Context Protocol, which helps AI models communicate with external systems in a standardized way.
- AI models often struggle to access external data from various tools, and MCP provides a solution for this by allowing models to interact with databases, Google Maps, and more.
- Providers need to build MCP servers to facilitate integration between AI models and external systems, enabling actions like data retrieval or sending emails.
- MCP has become a prominent topic in the AI field, addressing the need for models to access specific datasets efficiently and enhancing their capabilities.
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10 Likes
Medium
4w
200
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The Environmental Catastrophe of Malayer: A Requiem for a Forgotten Ecosystem
- The Malayer region was once home to a diverse ecosystem with numerous species, including wildcats, foxes, porcupines, ground jays, bustards, vipers, and various insects.
- However, a devastating fire wiped out the entire ecosystem, with no official prevention plan or recovery efforts in place.
- Years of drought, erosion, and institutional neglect further worsened the situation, leading to the disappearance of 14 animal species and severe environmental degradation.
- Despite the lack of restoration plans, organizations like KOMAZO are now working to protect the remaining ecosystems and prevent similar tragedies in the future.
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12 Likes
Siliconangle
4w
254
Image Credit: Siliconangle
New Relic strengthens software reliability with GitHub Copilot Coding Agent integration
- New Relic Inc. integrates with GitHub Copilot’s agentic coding capability to enhance software reliability.
- The integration offers proactive monitoring, automated issue creation, code repair, and resolution for GitHub Copilot.
- GitHub Copilot Coding Agent provides agentic AI functions independently for software development tasks.
- The collaboration aims to improve developer productivity by automating issue detection and resolution processes.
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15 Likes
Logrocket
4w
397
Image Credit: Logrocket
How to use Claude to build a web app
- This post explains how to build a simple weather app using Claude, walking through the process from setup to frontend development.
- Claude operates through prompting, similar to ChatGPT, and can assist in various tasks like software development and data analysis.
- Claude uses Large Language Models (LLMs) for decision-making, trained based on data, and offers different LLM options.
- To build a web app with Claude, start by conceptualizing requirements and engaging in a conversation with Claude.
- Claude suggests technology choices, API options, and features to consider, allowing for interactive project development.
- Building a web application with Claude involves scaffolding components, setting up frameworks, and integrating recommended changes.
- Artifacts in Claude enable sharing substantial content separately, and the conversation history aids in referencing past discussions.
- Claude assists in setting up the project, implementing tools like Prettier and ESLint, and debugging errors encountered during development.
- AI assistants like Claude are beneficial for mundane tasks, suggesting solutions, and facilitating quick answers or problem-solving.
- Providing context, committing changes, utilizing chat history, and understanding AI limitations are crucial aspects when working with Claude.
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23 Likes
Logrocket
4w
401
Image Credit: Logrocket
Enhancing LLMs with function calling and the OpenAI API
- Large Language Models (LLMs) are powerful tools in AI, but are limited by existing data sources, prompting the need for technologies like Retrieval-Augmented Generation (RAG).
- RAG augments LLM response generation by incorporating external information sources to enhance the quality of generated responses.
- Two main methods to integrate RAG are the Model Context Protocol (MCP) and function calling, with the latter being less popular but equally capable.
- Function calling involves providing LLMs with lists of functions/tools when interacting via APIs, giving developers more control over invoking these tools.
- While MCP is effective in certain scenarios, function calling offers more transparency and control over actions performed by the model.
- Potential drawbacks of using MCP include opaqueness and overhead, while function calling allows for more controlled interactions.
- Function calling example with the OpenAI API involves implementing a scheduling assistant that can book meetings by checking availability in real time.
- The tutorial covers setting up the project, integrating the OpenAI API, defining functions like 'parse_date' to handle natural language input, and 'schedule_meeting' to book meetings based on extracted data.
- The approach demonstrates the power of LLMs in understanding context from user messages and successfully scheduling meetings based on availability.
- In conclusion, the tutorial emphasizes the benefits of function calling over MCP in certain use cases, offering a more efficient and controlled solution.
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24 Likes
Dev
4w
393
Image Credit: Dev
Boost Your Team's Productivity with GitHub Copilot Custom Instructions
- GitHub Copilot offers customization options to align with team practices and preferences for increased productivity.
- Customizing Copilot enhances code suggestions tailored to coding conventions, project architecture, and workflow processes.
- Repository custom instructions in a .github/copilot-instructions.md file provide contextual information for Copilot Chat prompts.
- Instructions should be short, contextual, and clear to effectively guide Copilot's responses.
- Avoid requesting responses in a specific style or format for optimal results with Copilot.
- Prompt files (.prompt.md) in VS Code offer standardized templates for common tasks, enhancing efficiency and consistency.
- Use prompt files for code generation, security practices, and other repetitive tasks to streamline development.
- Custom instructions and prompt files lead to consistent code standards, efficiency improvements, and enhanced onboarding.
- Implementing customization features in Copilot involves auditing practices, creating base instructions, and developing prompt files.
- By tailoring Copilot to your team's needs, you can boost productivity by integrating AI assistance effectively.
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23 Likes
Dev
4w
317
Image Credit: Dev
Integrating Quill Editor and Image Upload Functionality in a React CMS
- This article focuses on integrating Quill Editor and image upload functionality in a React CMS.
- Quill Editor is implemented using react-quill with custom toolbar setup and configuration.
- The QuillEditor component is created with features like content, index, and onChange event.
- Modules for Quill Editor include options like bold, italic, links, images, videos, etc.
- Image upload functionality is developed in a separate ImageUploader component.
- ImageUploader enables drag-and-drop or click-to-upload image with preview and replacement options.
- The component includes handling for image descriptions and alt text.
- Both Quill Editor and ImageUploader components are designed for reusability in the CMS.
- These additions enhance content creation and management in React-based CMS systems.
- The tutorial provides a comprehensive guide for implementing these features step by step.
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19 Likes
Medium
4w
366
Image Credit: Medium
Top 5 Game-Changing Python Libraries Every Machine Learning Enthusiast NEEDS to Know in 2025
- SDV: Unlock synthetic data magic and turbocharge ML projects with privacy-preserving innovation.
- PyCaret: Build and deploy state-of-the-art ML models with minimal code through automation.
- Yellowbrick: Enhance model evaluation with visual diagnostics for better AI development.
- Alibi: Gain transparency in complex AI models with cutting-edge interpretability tools.
- Optuna: Achieve top-tier model performance efficiently using Bayesian optimization and pruning algorithms.
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22 Likes
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