The DataFun Summit 2023 brings together leading experts to discuss large models and AIGC, featuring a keynote on voice cloning technology for AI sales assistants that covers multi‑speaker, multi‑accent cloning, naturalness optimization, and deployment strategies.
This article explains what AIGC is, explores the current challenges of front‑end productivity, and shows how AI—especially ChatGPT—can be integrated into low‑code platforms through prompt engineering, enabling automatic page generation, layout editing, and component creation to dramatically boost development efficiency.
The article explains how AIGC models demand massive GPU compute, why network bandwidth and latency become the critical limiting factors, and how the Distributed Disaggregated Chassis (DDC) architecture addresses these challenges with scalable, high‑throughput networking solutions.
This article explores the rapid rise of AI painting tools such as Midjourney and Stable Diffusion, compares their features, outlines new design workflows, and presents four detailed case studies—from 2D‑to‑3D character creation to poster and H5 header generation—showing how designers can boost productivity and creativity.
This tutorial shows how to quickly integrate ChatGPT and Stable Diffusion AIGC models into a WeChat public account or mini‑program using the AIGCaaS platform, covering registration, API Explorer usage, code customization, asynchronous handling, and deployment with Python Flask.
The article systematically introduces the design and implementation of a采编式 (editing‑based) AIGC video production workflow, covering background analysis, service orchestration approaches such as state‑machine scheduling, module and component decomposition with bit‑mask slot management, configuration file definition, and practical flow scheduling using message queues and locks.
This guide walks you through using Alibaba Cloud's PAI‑EAS to quickly deploy the open‑source Stable Diffusion text‑to‑image model with a low‑code WebUI, covering preparation, service configuration, inference testing, and common troubleshooting tips for performance and file management.
This article examines the rise of AI‑generated artworks, the high‑profile NFT sale that sparked copyright disputes, legal frameworks in the EU and China, and the privacy challenges posed by AI models, offering practical guidance for creators to navigate these emerging risks.
This extensive report examines ChatGPT’s origins, the evolution of artificial intelligence and natural language processing, details the underlying Transformer architecture and GPT series, discusses its limitations, and explores the wide-ranging commercial applications and future prospects of generative AI.
This article explores the concept and evolution of large foundation models, their transformative impact on AI-generated content, the underlying technologies such as transformers, diffusion, and CLIP, and discusses the challenges, emerging abilities, and future prospects of these models across multiple modalities.
This article provides a comprehensive overview of AI‑generated content (AIGC) for image creation, explaining the role of diffusion models, the architecture of Stable Diffusion—including CLIP, UNet, and VAE—and the underlying mathematical concepts such as Markov chains, Langevin dynamics, and Gaussian distributions.
The paper presents a 3D Scene Intelligent Creation Engine that uses AIGC to automate and lower‑cost production of e‑commerce 3D environments—covering model, texture, foreground‑background, camera, and scene value estimation—allowing merchants and consumers to easily generate virtual stores, product displays, and immersive metaverse‑ready content.
This tutorial walks you through registering Midjourney, setting up a private Discord server, adding the Midjourney bot, and using both keyword prompts and image‑to‑image techniques to create high‑quality AI‑generated artwork, complete with detailed prompt tips and example outputs.
This article investigates the translation quality of Deepl and ChatGPT for the game 'Naraka: Bladepoint' by comparing their outputs against professional human translations across Chinese‑English, Chinese‑Spanish, and English‑Spanish pairs using BLEU scores and manual assessment, revealing strengths and limitations of each system.
This article explains what AIGC is, how AI can generate text and images, and provides step‑by‑step guidance, prompt templates, and visual examples for using Midjourney to upgrade existing pictures, create original illustrations, and produce high‑fidelity artwork for various creative scenarios.
This article explores whether AI constitutes a new technological revolution, examines recent breakthroughs like GPT‑4 and AIGC, predicts emerging AI‑driven industries, discusses potential societal impacts, and reflects on the path toward artificial general intelligence and future AI‑human coexistence.
The article outlines essential factors for launching AIGC products—including safety, content moderation, capacity planning, cost control, legal and copyright compliance, and model bias—providing practical guidance for technology managers navigating the rapidly evolving AI landscape.
This article analyzes Baidu’s ERNIE‑ViLG 2.0 and PaddlePaddle‑optimized Stable Diffusion models, presenting benchmark comparisons, hardware‑specific speed and memory gains, and the underlying inference optimizations that enable low‑cost, high‑throughput AI‑generated image creation.
This article reviews recent AIGC progress, introducing the AliceMind series of text generation models—including PALM, PLUG, and a Chinese GPT‑3—alongside the multimodal mPLUG architecture, and discusses their training strategies, performance results, and practical deployment insights.
OpenAI announced the public release of ChatGPT (gpt-3.5-turbo) and Whisper APIs, detailing pricing, the company's dual motivations of fostering innovation and benefiting humanity, and showcasing early adopters that illustrate how developers can now embed powerful AI capabilities into their products.
This article details Baidu's end‑to‑end AIGC video production pipeline, explaining the business drivers, the challenges of automating script‑to‑video conversion, the service‑orchestration architecture based on state‑machine scheduling, module‑component decomposition, configuration files, and the practical workflow that now supports tens of thousands of videos per day.
This article walks through a practical AIGC workflow—defining a three‑step human‑machine blueprint, crafting effective prompts and negative prompts, leveraging ControlNet and DreamBooth for custom models, and refining outputs with Inpaint—showing how to boost creative efficiency with open‑source AI tools.
The rapid rise of ChatGPT and AIGC has sparked an intense talent war in China, driving unprecedented demand and salary hikes for NLP and related AI specialists, prompting companies and headhunters to invest heavily in recruiting top researchers and engineers.
This article introduces the hot AIGC field by explaining diffusion‑based image generation, detailing the principles and mathematics of AutoEncoder and Variational AutoEncoder models, and providing complete TensorFlow code examples to help readers master these generative techniques step by step.
Make-An-Audio, a collaborative text‑to‑audio model from Zhejiang University, Peking University and Volcano Speech, uses a Distill‑then‑Reprogram strategy to generate high‑quality, controllable sound effects from any modality, showcasing impressive demos and promising future AIGC applications.
This article provides a comprehensive technical overview of ChatGPT, covering its origins, underlying GPT architecture, reinforcement learning from human feedback, training stages, current limitations, and prospective improvements such as model compression, constitutional AI, and integration with AIGC technologies.
This article provides a comprehensive overview of ChatGPT, covering its origins within OpenAI, core features, underlying GPT‑3.5 architecture, reinforcement learning from human feedback, current limitations, and future directions such as model compression, RLAIF, and expanding industry applications.
This article surveys the evolution of AI‑generated content for intelligent writing, covering its definition, key technologies from RNN Seq2Seq to Transformer‑based models such as UniLM, T5, BART and GPT series, evaluation datasets and metrics, product deployments by Datagrand, and the remaining challenges and future directions.
The article reviews the rapid rise of AI‑generated content (AIGC) in 2022, outlines its historical development stages, highlights Baidu’s breakthrough video‑generation and search technologies, and discusses the severe AI talent shortage in China along with Baidu’s extensive training initiatives.
This article introduces the rapid development of multimodal digital humans powered by large AI models, covering their background, current challenges, NeRF‑GAN based modeling methods, multimodal dialogue capabilities, and real‑world application cases such as virtual assistants, tourism guides, and sign‑language avatars.
At the REDtech Youth AI Technology Salon in Beijing, leading AI experts and top university students discussed the evolution of multimodal learning, Xiaohongshu’s practical applications, autonomous‑driving perception, and offered career guidance, emphasizing solid fundamentals, user value, and opportunities within Xiaohongshu’s talent‑development programs.
