Little Prince Quest Lab

Workplace ethics is a crucial topic for both employees and supervisors, emphasizing mutual respect and understanding to create a healthy, harmonious, and efficient environment. It's a shared goal for labor and management, not a one-sided requirement. Employees navigate balancing company rules with personal rights, while supervisors must lead by example and ensure fairness.The sources present real ethical dilemmas, such as balancing company secrets with friendships, cultural norms around overtime, and choosing between sales targets and personal conscience (e.g., selling potentially harmful products or hiding product flaws).A key challenge discussed is moral kidnapping, where unreasonable demands are imposed under the guise of morality, such as demanding unpaid overtime with "team spirit" or achieving sales targets that violate conscience. True workplace ethics is built on professionalism, while moral kidnapping harms individual rights.Cultivating good work ethics involves self-reflection, work training, school learning, and being a good example. Companies should provide clear rules, and leaders should foster a positive culture. Ultimately, workplace ethics guides professional conduct, ensuring integrity and well-being for all.Youtube : https://youtu.be/oiTLunj8k5Iwww.youtube.com/@LittlePrinceQuestLab留言告訴我你對這一集的想法： https://open.firstory.me/user/cm6aji5wz002701vbh2rz69bt/commentsPowered by Firstory Hosting

AIGC 3D technology reached a significant milestone in 2023, advancing from its nascent stage. It leverages AI to process dimensions as digital matrices for generation and inference. Capabilities include text-to-3D (Dream Fusion, Tripo3D) and image-to-3D (Point-E, Shap-E, Wonder3D, Zero123/Zero123++, DreamGaussian). NeRF and Gaussian Splatting are key reconstruction techniques, with the latter offering faster, training-free precision. The Model Context Protocol (MCP) allows AI to directly control 3D applications like Blender, revolutionizing software interaction. Applications are expanding into VR/AR and design.Despite progress, limitations persist. There's a critical need for algorithm optimization, enhanced computing power, and more high-quality 3D training data. Generating complex 3D models can still be slow. The design industry requires highly detailed, workable models, which AIGC currently struggles to fully provide, often focusing on clear mesh surfaces. Stable Diffusion also exhibits spatial inconsistency in 3D rendering. Overall, while advancing rapidly, AIGC 3D still needs improvements in speed and model quality.Youtube : https://youtu.be/855Ru51c_OEwww.youtube.com/@LittlePrinceQuestLab留言告訴我你對這一集的想法： https://open.firstory.me/user/cm6aji5wz002701vbh2rz69bt/commentsPowered by Firstory Hosting

The article provides an overview of AIGC 3D technology, noting its significant progress from "0 to 1" but highlighting ongoing challenges in optimizing algorithms, computing power, and acquiring high-quality data. Key foundational technologies include Nerf, a neural radiance field for 3D reconstruction from 2D images, recognized for its quality but slowness. Zero123 and Zero123++ address multi-view inconsistency by generating continuous, fixed-angle images from a single input, enabling better 3D reconstruction. A newer, faster, and more accurate method, Gaussian Splatting, is emerging as a major trend, not requiring neural network training. Application-level tools have rapidly evolved, including Dream Fusion (text-to-3D, 2022), Point E and Shape E (2D to point cloud/mesh, 2022-2023), Dream Gaussian (fast 3D from Gaussian Splatting, 2023), Wonder 3D (open-source, high-quality 3D from image, 2023), One2345++ (improved consistency/smoothness, 2023), and Stable Zero123 (improved Zero123, 2023). While current AI-generated 3D models require further optimization in speed and quality, the technology's future is promising, though AI is not yet replacing detailed design modeling work.Youtube : https://youtu.be/0e_MaOXdonswww.youtube.com/@LittlePrinceQuestLab留言告訴我你對這一集的想法： https://open.firstory.me/user/cm6aji5wz002701vbh2rz69bt/commentsPowered by Firstory Hosting

A lecture from an expert at Unified Information Company, the IT core of Uni-President Group (including 7-Eleven), provided comprehensive insights into careers in information technology. Key IT roles discussed include engineers, system analysts, project managers, and consultants, with a typical career path involving rotation through software development, client requirements gathering, project management, and post-launch operations and maintenance. A significant point highlighted was the transformative impact of AI on coding efficiency, with companies now mandating AI for code generation. This shift means IT professionals' roles are evolving to focus on managing complex client needs and overseeing multiple projects, rather than leading to job displacement.Youtube : https://youtu.be/gvkM7PK2-NQwww.youtube.com/@LittlePrinceQuestLab留言告訴我你對這一集的想法： https://open.firstory.me/user/cm6aji5wz002701vbh2rz69bt/commentsPowered by Firstory Hosting

This document focuses on customer profiling (顧客圖像標籤), which involves collecting behavioral data through customer interactions and using big data analysis to create customer tags. The goal is to understand consumer behavior for precise marketing and customer relationship management (CRM). Key advantages of customer profiling include structured data and rich imagery (visualization), allowing for easier understanding and identification of phenomena. In the era of Retail 4.0, dynamic tags are crucial due to rapid changes in customer behavior, unlike static tags which represent more stable information. Customer profiling is customer-centric, integrating data from various marketing channels. It can be applied in customer service, marketing campaigns, big data analysis, and CRM. Specific analysis tools mentioned include RFM (Recency, Frequency, Monetary) customer value analysis to categorize customers based on their purchasing behavior and contribution, and quadrant distribution applications to define customer groups (e.g., low scale, high contribution) for tailored strategies. The document also highlights the importance of combining data from different life domains for a 360-degree customer view.Youtube : https://youtu.be/i11-vmGaFiEwww.youtube.com/@LittlePrinceQuestLab留言告訴我你對這一集的想法： https://open.firstory.me/user/cm6aji5wz002701vbh2rz69bt/commentsPowered by Firstory Hosting