DICloak Blog Center

This article provides seven effective tips for improving prompt engineering, a vital skill in data science and machine learning. Key strategies include reducing prompt length, role prompting, using a 'Chain of Thought' approach, selecting better models, employing few-shot learning, requesting structured outputs, and iterating for improvement. The article emphasizes the importance of concise and clear prompts to enhance AI performance and offers guidance on testing and refining prompts for better results.

This guide outlines an efficient workflow for analyzing financial data using SQL instead of vector databases, which are inadequate for numerical queries. It discusses the challenges businesses face with large datasets, the limitations of vector databases, and the advantages of using SQL for data retrieval and analysis. The workflow involves extracting data from Google Sheets, creating a PostgreSQL table, and optimizing queries for accurate results. Future enhancements and continuous testing are also emphasized to improve system performance.

This guide outlines strategies for achieving rapid growth on YouTube, including utilizing the outlier indicator to identify trending topics, the importance of consistency and storytelling, learning from competitors, and implementing a practical workflow for video analysis. It emphasizes the need for testing and optimizing workflows and encourages community engagement for continuous improvement.

This guide provides a step-by-step process for installing Easy Panel on AWS Lightsail, covering account creation, instance setup, firewall configuration, and initial project setup. It emphasizes the user-friendly nature of AWS Lightsail and the benefits of using Easy Panel for project management, including obtaining a community license key for access to essential features.

This guide explains how to run OpenAI’s Operator alternative locally using DeepSeek and BrowserEd. It covers setting up the environment, integrating OpenAI API keys, testing various models, and comparing local models. The document emphasizes performance insights and encourages user feedback to enhance the experience with browser automation tools.

Deep Seek V3 is a competitive large language model (LLM) that ranks in the top 10 among its peers, including GPT-4 and Claude 3.5. It offers a compelling pricing structure and impressive performance in multitasking language understanding, though it lags behind Claude in certain areas. With a knowledge cutoff of July 2024, it presents a budget-friendly alternative for users, especially in front-end development. Future evaluations may include emerging models like Gemini.

This guide outlines the steps to build a complete personal assistant AI agent using n8n, a no-code platform. It covers various functionalities such as searching for AI news, providing weather updates, scheduling meetings, organizing workouts, summarizing daily activities, and creating custom AI agents. The document emphasizes the importance of setting up workflows, managing agent settings, testing agents, and utilizing tools for enhanced functionality. Additionally, it includes a FAQ section addressing common queries related to AI integration.

This tutorial outlines how to create a no-code workflow in n8n for scraping funding opportunities for nonprofits using Firecrawl. It covers the importance of internet access in education, setting up workflows, defining data structures, managing data with Postgres, and sending email notifications for new opportunities. The guide emphasizes continuous improvement and community engagement for enhancing data-fetching solutions.

This content outlines the process of creating an AI-driven news project using tools like After Effects, Eleven Labs, and various news APIs. It discusses how AI is reshaping online meetings and workplace efficiency, details the steps for fetching and organizing news articles, generating audio content, and creating engaging visual videos. The project culminates in a polished video that delivers the latest AI news.