Is AI Splitting into Two Worlds? Building Models vs Building Apps

The article analyzes the emerging divide in the AI ecosystem where a few giants focus on resource‑intensive large‑model research and training while most companies shift to leveraging existing models for application development, outlining the implications, challenges, and strategic advice for developers and enterprises.

AIApplication DevelopmentIndustry Analysis

0 likes · 10 min read

Is AI Splitting into Two Worlds? Building Models vs Building Apps

Cognitive Technology Team

Mar 22, 2025 · Artificial Intelligence

Three Stages of Developing Large Language Models and Practical Guidance

The article outlines the three development phases of large language models—building, pre‑training, and fine‑tuning—describes usage options, highlights key factors such as data scale, architecture, training processes, and evaluation, and offers practical advice for cost‑effective development.

Fine-tuningLLMModel Development

0 likes · 3 min read

Three Stages of Developing Large Language Models and Practical Guidance

Architects' Tech Alliance

Mar 5, 2025 · Industry Insights

DeepSeek R1 & Kimi 1.5: Inside the Development of Near‑Strong Reasoning Models

The article analyzes DeepSeek's recent releases—V3 dialogue model and R1 inference model—detailing their launch dates, rapid popularity surge, R1's reinforcement‑learning‑based design for code and math tasks, and provides links to related Beijing University technical reports while stripping promotional sales content.

AIDeepSeekIndustry Analysis

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DeepSeek R1 & Kimi 1.5: Inside the Development of Near‑Strong Reasoning Models

php Courses

Aug 26, 2023 · Artificial Intelligence

Understanding Generative AI: Concepts, Common Models, and Development Guide

Generative AI, a branch of artificial intelligence that creates novel content such as text, images, and music, works by learning patterns from training data, with common models including GANs, VAEs, autoregressive and Transformer-based architectures, and its development involves task definition, data preparation, model design, training, evaluation, and ethical considerations.

Artificial IntelligenceGANModel Development

0 likes · 8 min read

Understanding Generative AI: Concepts, Common Models, and Development Guide

Efficient Ops

Jun 12, 2022 · Artificial Intelligence

Unlocking AI Success: A Deep Dive into the Model/MLOps Capability Maturity Framework

This article explains the globally first AI model development management standard—Model/MLOps Capability Maturity Model (Part 1: Development Management)—detailing its structure, key domains such as requirement management, test case design, and project planning, and how organizations can assess and improve their AI engineering capabilities.

AI GovernanceCapability Maturity ModelMLOps

0 likes · 9 min read

Unlocking AI Success: A Deep Dive into the Model/MLOps Capability Maturity Framework

Didi Tech

Jul 24, 2020 · Artificial Intelligence

DLFlow: An End-to-End Deep Learning Solution for Big Data Offline Tasks

DLFlow, an end‑to‑end framework from Didi’s user‑profile team, merges Spark and TensorFlow to automate feature preprocessing, large‑scale distributed training, and massive prediction for big‑data offline tasks, offering configuration‑driven pipelines, task scheduling, and easy deployment that dramatically speeds model development.

Deep LearningModel DevelopmentSpark

0 likes · 9 min read

DLFlow: An End-to-End Deep Learning Solution for Big Data Offline Tasks