Microsoft’s massive $130 billion investment in OpenAI, revealed through a leaked internal email, underscores its strategic push to outpace Google’s AI lead, while the company navigates antitrust scrutiny and hints at a forthcoming ChatGPT-powered search engine.
Tesla is exploring a bold strategy to monetize the idle computing power of its electric vehicles by turning them into a distributed AI platform, but technical, operational, and ownership challenges raise questions about feasibility and profit sharing.
At the 2024 Zhongguancun Forum, Baidu CTO Wang Haifeng highlighted the rapid growth of the Wenxin large model—now serving over 200 million daily calls and 85 k customers—while unveiling agent‑based AI breakthroughs, a code‑assistant, and the PaddlePaddle platform’s five‑fold training speed gains that now power millions of developers and enterprises.
On World Intellectual Property Day, Bilibili honored ten breakthrough patents that together enable billion‑scale video duplicate detection, AI‑driven story generation, synchronized live rhythm‑games, automatic OTT casting, knowledge‑graph‑based content moderation, glitch‑free multi‑audio streaming, modular playback integration, neural‑network resolution encoding, AV1 reference‑frame pruning, and fine‑grained GPU isolation.
Large language models still suffer from limited memory, constrained context windows, outdated knowledge, inability to control external systems, and poor domain expertise, but the article outlines two main remedies—fine‑tuning (Model‑as‑a‑Service) and prompt‑engineering—detailing their mechanisms, suitable scenarios, and trade‑offs.
This weekly roundup highlights major AI developments such as Google's restructuring of its AI team, Huawei's innovative camera technology, Microsoft's ambitious AI chip accumulation plan, OpenAI's cost‑reduction outlook, Meta's new Llama 3 models, and other notable industry news and expert opinions.
This article uses a playful dialogue to demystify how large language models like GPT‑4 work, covering data collection, vectorization, the transformer’s attention mechanism, position encoding, training stages, multilingual translation, reasoning puzzles, and alignment, all illustrated through the tale of a curious learner named Wuming.
OneKE, an open‑source bilingual (Chinese‑English) knowledge extraction framework jointly developed by Ant Group and Zhejiang University, enables efficient extraction of entities, relations, and events to build domain knowledge graphs that enhance large language models’ reasoning, reduce hallucinations, and support applications in medical, financial, and governmental sectors.
The article surveys recent AI and tech developments, from Sam Altman's claim that GPT‑6 will become a universal tool and Baidu's new intelligent computing OS, to Peking University and ByteDance's VAR model outperforming diffusion models, plus updates on Boston Dynamics' Atlas robot, Linux kernel Kconfig, AMD Ryzen Pro CPUs, and SQLite 3.45.3.
The report released at the China AIGC Industry Summit outlines a rapidly expanding AIGC market projected to reach 200 billion RMB in 2024 and a trillion‑scale by 2030, highlighting dominant AI‑native applications, multimodal growth, investment concentration on leading players, and distinct B‑end and C‑end business models.
A 2024 survey of Go developers reveals strong interest in building AI applications but frustration over Python's dominant ecosystem, highlighting performance priorities, tooling gaps, and a desire for Go libraries comparable to Python's, while also showing cloud platform preferences and IDE usage trends.
This article provides an in‑depth technical analysis of NVIDIA NVLink, covering its evolution, the NVSwitch chip, NVLink‑enabled servers and switches, and a performance comparison with InfiniBand networks, highlighting its impact on high‑performance computing and artificial intelligence workloads.
This article examines how large language models (LLMs) are being integrated into DevOps workflows, detailing practical implementations, organizational adoption, efficiency‑boosting techniques, underlying principles, limitations, and future directions for software engineers seeking to leverage AI as a reliable development partner.
In a shareholder letter, Amazon CEO Andy Jassy outlines the company’s generative AI strategy, describing it as the most significant technological transformation since cloud computing, detailing AWS’s infrastructure investments, new services like Bedrock, and the broader impact on developers and customers.
The OpenKG academic salon on April 12, 2024 at Suzhou University brings together leading experts to discuss the latest advances in knowledge graphs, large language models, and their integration, featuring detailed abstracts, speaker biographies, a full schedule, and a live‑streaming link for remote participants.
Meta’s AI chief Yann LeCun argues that current large language models lack true intelligence, highlighting four cognitive challenges—reasoning, planning, persistent memory, and physical understanding—and advocates a goal‑driven AI architecture as a more realistic path toward human‑level artificial intelligence.
The article introduces the BAMBOO benchmark for evaluating large language models on long-text tasks, outlines its four design principles, describes ten datasets across five tasks, presents experimental results on five models, and discusses five research questions and future directions for improving long-context modeling.
This article reviews recent scaling‑law research on large‑language‑model fine‑tuning and RLHF, explaining how data quantity, model size, PET parameters, reward‑model size and KL‑penalty affect downstream performance and offering practical insights for efficient training.
Elon Musk forecasts AI surpassing human intelligence by next year, while OpenAI expands custom model offerings, Microsoft commits a massive investment in Japan to boost generative AI, Google unveils Gemini Pro 1.5 on Vertex AI, and the US leads a global 6G collaboration.
The 2024 China “Hundred-Model War” report analyzes how ten major domestic large‑model vendors compete across five dimensions—team, product, infrastructure, ecosystem, and development—revealing that Baidu and Huawei dominate overall while others show niche strengths and growth opportunities.
This article provides a detailed guide on using GitHub Copilot's advanced features—including generating unit tests via the /tests command, interacting through Q/A style prompts, and expanding the Copilot Chat window—while also offering practical tips, warnings, and subscription information for the AI coding assistant.
A tech roundup reveals Sam Altman's candid take on OpenAI’s branding, China’s sweeping ban on foreign CPUs, Apple’s AI partnership talks for iOS 18, and Oracle’s Java 22 release, highlighting how policy, funding, and new tools are reshaping the AI landscape.
Stability AI’s founder and CEO Emad Mostaque stepped down, with the board appointing interim leaders amid a wave of executive departures, financial pressures, and allegations of misconduct, highlighting the company’s broader instability and challenges facing AI startups.
In this talk, researcher Jiang Zhuoren from Zhejiang University reviews the current state of large language models applied to graph learning, discusses their roles across various graph scenarios, and outlines promising research directions for unified cross‑domain graph learning.
The article examines Cognition AI’s newly launched AI coding robot Devin, its breakthrough reasoning abilities, the startup’s rapid funding and elite team, and the broader implications of autonomous programming tools for developers and the software industry.
This article explains how to construct effective SQL prompts by combining personal SQL expertise with large language model capabilities, introduces the open‑source sql‑translator tool for bidirectional SQL‑natural language conversion, and discusses practical productization scenarios.
This guide shows how to set up a PHP project, install the Gemini PHP client, and use Google Gemini's multimodal model to recognize text and solve image CAPTCHAs, providing complete code examples, dependency instructions, and sample outputs.
Google has introduced preview vector search to its Cloud SQL for MySQL service, positioning it ahead of Oracle, while industry analysts note the growing importance of vector capabilities for generative AI applications across major database platforms.
This article explains the fundamentals of AI, machine learning, deep learning, and natural language processing, describes how Transformer architectures and attention mechanisms power large language models such as GPT‑4 and ChatGPT, and walks through tokenization, prediction, and practical development with Python.
Anthropic has launched Claude 3, offering three model variants—Opus, Sonnet, and the upcoming Haiku—each delivering faster response times, higher accuracy, advanced reasoning, and the ability to process uploaded files such as images, PDFs, and code, positioning it as a strong competitor to ChatGPT and Gemini.
This article examines JD Retail's end‑to‑end large language model framework that combines supervised fine‑tuning, retrieval‑augmented generation, and ReAct‑based AI agents to overcome retail‑specific challenges, improve model accuracy, reduce hallucinations, and enable autonomous multi‑step business workflows.
Since 2022, generative AI has become a pervasive trend, and this article explores its integration into DevOps, outlining the technology’s advantages, limitations, emerging trends, and best practices while highlighting how AI‑driven automation reshapes software engineering workflows.
This article presents OPPO's practical use of algorithms, big‑data infrastructure, intelligent compute systems, and unified modeling to improve cost efficiency and performance across its application distribution platform, while outlining future plans for edge‑cloud collaboration and large‑model deployment.
Huawei Cloud’s Pangu weather large model leverages a 3‑D neural network and AI‑driven temporal aggregation to deliver seven‑day global forecasts up to ten thousand times faster than traditional methods, improving accuracy and lead time over established ECMWF systems.
StarCoder2, the latest open-source large language model from ServiceNow, Hugging Face, and NVIDIA, offers three sizes—30B, 70B, and 150B parameters—delivering performance comparable to the original 150B StarCoder while being more efficient and freely accessible under the BigCode Open RAIL‑M license.
This guide shows how to use the Gemini PHP package in a Laravel application to call Google Gemini AI APIs, including text generation with Gemini Pro and multimodal image analysis with Gemini Pro Vision, complete with code examples and resource links.
Google has released the open‑source Gemma LLM series (2B and 7B parameters) built on Gemini‑style architecture, offering free, commercial‑ready models that run on notebooks, support JAX/PyTorch/TensorFlow, outperform many open‑source peers, and have quickly sparked extensive community testing and discussion.
This article introduces reinforcement learning, explains its core concepts, and demonstrates how to implement a simple reinforcement learning algorithm in PHP using neural‑network libraries such as Keras, providing a complete code example that includes environment and agent classes.
OpenAI’s Sora model demonstrates unprecedented text‑to‑video generation with up to 60‑second high‑fidelity clips, consistent multi‑character scenes, multi‑camera motion, and world‑simulation abilities, backed by a diffusion‑transformer trained on compressed latent video patches and detailed technical analysis from its accompanying research paper.
This weekly technology digest highlights major industry developments, including Huawei's smartphone market resurgence, Google's internal AI coding assistant, Nvidia's accelerated GPU delivery timelines, and expert perspectives on OpenAI's Sora video generation model, alongside significant funding initiatives for AI semiconductor manufacturing.
OpenAI’s Sora model introduces a diffusion‑transformer approach that generates high‑fidelity, 60‑second videos with consistent 3‑D camera motion, long‑term object persistence, and the ability to simulate interactive digital worlds, backed by a detailed technical report and research paper.
This survey examines speculative decoding—a draft‑then‑verify technique that parallelizes token generation to cut LLM inference latency, outlines its core components, compares independent and self‑drafting methods, discusses verification strategies, and highlights open research challenges.
Ant Group shares its comprehensive knowledge graph initiatives, detailing the fundamentals, construction pipeline, fusion techniques, cognitive representations, diverse business applications, and the emerging synergy between knowledge graphs and large language models, illustrating how graph-based AI enhances accuracy, interpretability, and downstream services.
This article compiles a categorized list of recent model papers, covering change models and various prediction models—including time series, machine learning, gray prediction, and deep learning—providing direct references for students and researchers interested in AI and data‑driven modeling.
Based on SEMrush data, this article ranks the ten most visited AI tools of 2023, highlighting ChatGPT’s dominance, the rise of conversational agents like Character.AI, and the popularity of image generators and other AI services.
In 2023 JD Retail’s technology team delivered a suite of AI‑powered innovations—including end‑to‑end inventory management, explainable AI for supply chain, privacy‑preserving advertising models, a ReAct‑SFT‑RAG large language model framework, edge AI inference, secure data‑safe‑house infrastructure, and high‑quality 3D modeling pipelines—demonstrating broad academic and industrial impact across multiple domains.
In 2023 JD Retail Technology showcased a series of AI‑powered innovations—including end‑to‑end inventory management, explainable AI for supply chain, large‑language‑model frameworks, edge‑device inference, data‑security "security house", and high‑quality 3D modeling—demonstrating how advanced algorithms and large‑scale computing boost efficiency, accuracy, and user experience across the e‑commerce ecosystem.
This article presents concise overviews of five AAAI 2024 accepted papers covering multi‑stage reinforcement‑learning recommendation, error‑adaptive watch‑time prediction, coarse‑to‑fine text‑to‑video retrieval, enhanced fashion image retrieval, and conditional image‑to‑video generation, each with authors, download links, and reported performance gains.
The global database market is accelerating beyond $1 trillion, driven by cloud adoption, AI workloads, and the rise of vector and NoSQL databases, while traditional relational vendors slow, creating a unique growth dynamic for enterprises seeking the right data solutions.
CoderPad’s 2024 Tech Hiring Landscape survey of over 13,000 developers shows that while a majority believe AI will cut their workload and want to use it more, significant portions remain skeptical, distrust the technology, or face employer resistance, highlighting complex attitudes toward AI in software development.
Compute Express Link (CXL) is a high‑speed serial interconnect that bridges CPUs, accelerators, and memory to deliver higher bandwidth, lower latency, and flexible memory sharing, with detailed explanations of its background, three operational modes, benefits, use cases in data centers, AI, and challenges for implementation.
The 2023 Meituan Technical roundup highlights the ten most‑read articles, ranging from the evolution of its code‑hosting platform and automatic SDK generation to risk‑visualization, trace‑ID recovery, trustworthy A/B testing, KDD research, UI intent detection, MJDK compression gains, large‑scale database high‑availability, and interactive food‑delivery recommendation, each with brief summaries and links.
The article recounts Sergey Brin’s surprising appearance as a core contributor to Google’s Gemini AI model, tracing his early technical career, his semi‑retirement from Alphabet, the company’s AI challenges after ChatGPT, and how Brin returned to help develop Gemini, highlighting internal reactions and his lasting influence.
The article reports on Google’s planned 30,000‑plus layoffs amid its AI transformation, OpenAI’s annual revenue surpassing $1.6 billion, the EU’s upcoming JUPITER exaflop supercomputer built with 24,000 Nvidia GH200 GPUs, and a Linux developer’s claim that a 22° screen rotation offers the optimal view for software development.
This article provides a comprehensive overview of major benchmark datasets—including CMMLU, MMLU, C‑Eval, GSM8K, Gaokao‑Bench, AGIEval, MATH, BBH, HumanEval, and MBPP—used to evaluate large language models' knowledge, reasoning, and coding abilities, and summarizes related leaderboards and evaluation tools.
This article walks through the core LLaMA implementation in HuggingFace’s Transformers library, detailing the inheritance hierarchy, configuration defaults, model initialization, embedding and stacked decoder layers, the RMSNorm‑based attention and MLP modules, and the forward pass that produces normalized hidden states.
This article provides a detailed examination of large language models, covering their underlying technologies, capabilities and constraints, model families, training processes, cloud and edge deployment challenges, agent architectures, and emerging trends, offering practical insights for developers, product managers, and researchers.
This article explains the concept of Butler‑style operation and maintenance, outlining its core principles, distinctive features, and a step‑by‑step implementation guide that helps enterprises achieve stable, secure, and innovative IT services while freeing resources for core business growth.
Learn how to generate text embeddings with OpenAI's ChatGPT API, store them in Redis' vector database, and perform efficient similarity searches using PHP, covering installation, API calls, index creation, vector storage, KNN querying, and practical code examples.
Sam Altman's 2023 recap, detailing his board clash, leadership lessons, and OpenAI's rapid rise, offers a concise guide on building resilient AI teams, focusing on clear communication, high‑impact work, hiring for potential, and navigating the broader societal impact of generative artificial intelligence.
This article reviews the historical development of artificial intelligence, examines how AI—especially large language models like GPT—can transform data analysis and governance, and outlines the practical challenges, reliability concerns, and future opportunities of integrating AI into the data industry.
Mobile Cloud’s “CC‑OPS” platform recently passed the CAICT AIOps Level‑3 General Capability assessment, marking the first cloud provider to achieve this rating and showcasing how AI‑driven operations can boost system stability, efficiency, and cost savings across enterprises.
This guide shows how to use LangChain with OpenAI’s API, Puppeteer, and vector stores to automatically read local or web‑based API documentation, split and retrieve relevant text, and prompt an LLM to generate ready‑to‑use TypeScript front‑end code, highlighting setup, prompt design, and example outputs.
AI pioneer Tang Xiaoyu, co‑founder of SenseTime and former director of leading computer‑vision labs, passed away in December 2023, leaving a legacy of groundbreaking facial‑recognition algorithms, influential mentorship, and a profound impact on the global artificial‑intelligence community.
The interview with Deepexi President Bai Haifeng explains how enterprises can lower costs and boost efficiency by adopting domain‑specific large models, outlines the technical pipeline from self‑supervised pre‑training to fine‑tuning, discusses data‑governance challenges for unstructured data, and describes the product ecosystem built to support agile, high‑performance AI solutions.
The Baidu Research Institute’s 2023 Paper Sharing Session featured eight cutting‑edge papers—from semi‑supervised web‑search ranking and hierarchical reinforcement learning for autonomous intersections to spatial‑heterophily graph networks, a unified XAI benchmark, differentiable neuro‑symbolic KG reasoning, and novel stochastic‑gradient and neural‑field loss analyses—showcasing advances across AI, data mining, and computer vision.
This article examines the challenges of LLM‑based Text‑to‑SQL such as hallucinations, data‑security risks, and user input errors, and presents prompt‑engineering strategies, fine‑tuning comparisons, prompt types, code examples, and experimental results to improve reliability and cost‑effectiveness.
This article introduces Safe Reinforcement Learning (SafeRL), explains its fundamentals and deep reinforcement learning concepts, discusses safety‑aware methods such as CMDP, state‑wise and worst‑case approaches, and demonstrates their application to power grid dispatch, including platform tools and practical deployment considerations.
Google announced Gemini, a suite of multimodal large language models—including Ultra, Pro, and Nano—that achieve state‑of‑the‑art results on dozens of benchmarks, support native multimodal pre‑training, and are being integrated across Google products such as Bard, Search, and upcoming Pixel devices.
At a recent open‑source summit in Japan, Linus Torvalds discussed the upcoming Linux 6.7 release, the growing role of Rust in the kernel, maintainer fatigue, and how artificial intelligence may assist developers while highlighting the social challenges of open‑source collaboration.
The article provides a comprehensive overview of ARM's recent architectural advances—including the flexible EPYC design, the Neoverse platform, AWS Graviton processors, and the security‑focused Armv9 with AI‑optimized SVE2 and Confidential Compute—highlighting their impact on cloud, data‑center and edge computing.
Alibaba Cloud’s AI platform PAI had four papers accepted at EMNLP 2023, presenting advances in automatic prompt engineering for text‑to‑image, domain‑specific knowledge‑enhanced language models, cognitive‑tree reasoning with small LLMs, and cross‑lingual machine reading comprehension, all demonstrating cutting‑edge AI research and product integration.
This article explores the concept of the metaverse and virtual humans, detailing 3D modeling techniques, NLP-driven language understanding, streaming TTS, VR/AR interaction, AIGC content generation, and the deployment of a large‑model intelligent Q&A system with real‑time facial expression synthesis for virtual anchors.
This article examines whether the world is governed by chance or necessity, discussing quantum uncertainty, classical determinism, the dual role of knowledge, and how mathematics, probability, AI, and big‑data analytics together shape our ability to understand and forecast complex systems.
Since July, the author has been developing AIGC projects and observed dramatic image quality improvements driven by rapid advances in large models, open‑source plugins, and deeper understanding of generation pipelines and parameters, prompting a comprehensive summary of the Cyber project’s solutions, industry landscape, and front‑end responsibilities.
The article traces the evolution of automation from ancient myths and the printing press to modern AI‑driven database management, showing how AIOps and automated tools boost productivity, free IT teams from repetitive tasks, and enable more innovative work across organizations.
The article details OPPO’s approach to balancing cost reduction and user value in app distribution through unified cross‑scenario modeling, sparse‑data solutions, oCPX advertising optimization, and a multi‑stage smart‑power system that improves efficiency, scalability, and revenue while preserving user experience.
This article explores the distinction between causal reasoning and conspiracy thinking, the challenges of defining causality, and how Judea Pearl's causal graph framework provides a powerful tool for AI, epidemiology, and other fields to visualize and analyze complex cause‑effect relationships.
This article provides a comprehensive overview of Particle Swarm Optimization, covering its biological inspiration, abstract modeling of bird foraging behavior, key concepts, algorithmic workflow, velocity update formulas, practical tips, and references for further study.
This article introduces five free AI-powered tools—TabNine, DeepCode, Snuffleupagus, Kite, and PHPInsights—that help PHP developers accelerate coding, improve code quality and security, automate documentation, and optimize performance, highlighting their key features and where to access them.
This article explores how generative AI (AIGC) can be used to synthesize structured data, how synthetic data supports causal inference, and how agent‑based modeling and the YLearn framework together enable advanced causal discovery, effect estimation, and scenario simulation for enterprise AI applications.
This article provides a comprehensive overview of Google's T5 model, detailing its unified text‑to‑text formulation, encoder‑decoder architecture, three model variants, attention mask designs, training strategies, model sizes, experimental results, and key contributions to natural language processing.
In a dramatic series of events, OpenAI announced Sam Altman's reinstatement as CEO after his abrupt dismissal, highlighted the formation of a new board with Bret Taylor, Larry Summers, and Adam D'Angelo, detailed multiple executive resignations, and described Microsoft’s strong reaction and strategic moves to support Altman's comeback, all unfolding over a week in November.
The article examines AutoGPT's shift away from vector databases, detailing the original vision of using embeddings for long‑term memory, the performance calculations that exposed unnecessary complexity, the adoption of JSON‑based storage, and the emerging trend of specialized multi‑agent architectures.
A forum discussing frontiers in short video recommendation algorithms, featuring academic research from Kuaishou and collaborations with universities, including topics like reinforcement learning and graph neural networks for personalized recommendations.
The 2023 GitHub Octoverse report reveals how generative AI, cloud‑native technologies, and a surge of first‑time contributors are rapidly reshaping developer workflows, regional community growth, and the popularity of programming languages across the world’s largest open‑source ecosystem.
Insilico Medicine, leveraging artificial intelligence to identify a novel target and molecule for idiopathic pulmonary fibrosis, has advanced its AI-discovered drug into late-stage clinical trials, marking the first fully AI-generated pre-clinical candidate and drawing significant attention from the pharmaceutical industry.
This article explains the Transformer model, comparing it with RNNs, detailing its encoder‑decoder structure, multi‑head and scaled dot‑product attention, embedding layers, feed‑forward networks, and the final linear‑softmax output, supplemented with diagrams and code examples.
This article provides a comprehensive technical guide on large language model fundamentals, covering tokenizer construction methods such as BPE, WordPiece, and SentencePiece, detailed explanations of Layer Normalization variants, Deep Norm concepts with code, and an overview of parameter‑efficient fine‑tuning techniques like LoRA and PEFT.
This article provides a thorough overview of large language models, explaining the relationship between NLP and LLMs, the evolution from RNN to LSTM, the fundamentals of attention mechanisms, and the architecture and operation of Transformer models, all illustrated with clear examples and diagrams.
An introductory guide outlines 26 essential IT concepts—from adaptive technology and agile development to cloud computing, AI, and blockchain—explaining each term’s definition and why it matters for new IT professionals, helping them understand the foundational vocabulary needed in today’s technology landscape.
Vivo introduced BlueOS, a fully self‑developed operating system built with Rust and integrated AI large‑model capabilities, highlighting three core traits—greater intelligence, smoother performance, and enhanced security—while targeting smart‑watch devices and providing a dedicated SDK and IDE for developers.
This article explains how large language models can achieve continual lifelong learning, outlines the key properties required, reviews mixture‑of‑experts (MoE) techniques—including sparse MoE, GShard, Switch Transformer, GLaM and PanGu‑Sigma—and discusses the remaining challenges such as model complexity, expert balancing and distributed communication overhead.
The article explains how rapid advances in data and large language models force mathematical modelers to continuously update their models and skills, discard obsolete knowledge, and adopt lifelong learning to stay effective in a fast‑changing AI‑driven environment.
This article investigates how large language models can be applied to recommendation tasks, presenting two usage strategies, experimental evaluations on multiple datasets, comparisons with traditional baselines, and analyses of prompting methods, cost, and cold‑start performance.
DataFunCon2023 Shenzhen showcases a comprehensive program featuring expert talks on building Data+LLM applications, large-scale storage, cloud‑native architectures, metric systems, data governance, AB testing, and industry‑specific large language model use cases across finance, gaming, advertising, and more, providing valuable insights for practitioners and researchers alike.
This article presents a comprehensive overview of DaGuan Data's explorations in general artificial intelligence, large language models, knowledge graphs, reinforcement learning, compute and data requirements, and the emerging concept of Human‑Centric AGI, supplemented by a detailed Q&A session.
Following Microsoft's tightened hardware requirements for Windows 11, analysts infer that the upcoming Windows 12 will focus on cloud integration and local AI capabilities, driven by Intel's roadmap and the need to stimulate new hardware purchases.
The MindSpore Season 2 open class offers a comprehensive overview of GLM to ChatGLM architectures, positional‑embedding strategies, stable training optimizations, and step‑by‑step instructions for deploying large language models with Ascend, ModelArts, and MindSpore Transformers, while previewing upcoming multimodal remote‑sensing sessions.
In this presentation, Guo Wei, CEO of Baijiang Open Source and seasoned big‑data expert, explores how large‑model AI reshapes DataOps and DataFabric, detailing efficiency gains, intelligent deployment, and future enterprise architectures for big‑data and AI integration.
