At the 7th China International Import Expo forum, Baidu's AI chief explained how large models, with their superior performance, strong generalization, and standardized development processes, are driving a new wave of industrial transformation across sectors such as transportation, finance, and scientific research.
This article explains how Ant Group’s insurance marketing team leverages Artificial Intelligence‑generated content (AIGC) to create personalized marketing materials, automate recommendation workflows, and produce video scripts, thereby improving efficiency, compliance, and user engagement in the insurance sector.
In a candid interview at the Linux Foundation Open Source Summit, Linus Torvalds and Verizon open‑source lead Dirk Hohndel discuss the Linux kernel's release cadence, security patching, the delayed integration of Rust, and Torvalds' cautious view of AI's role in software development.
This article explains the fundamentals of data science, its key components, and showcases how JD applies it across e‑commerce, finance, healthcare, and logistics, while also reviewing past innovations, common project pitfalls, and future directions such as quantum computing and supply‑chain digital twins.
This comprehensive guide walks through the fundamentals of artificial intelligence, machine learning and deep learning, explains the three essential elements of ML, outlines its historical milestones, details core techniques, workflow, key terminology, algorithm families, model evaluation metrics, bias‑variance trade‑offs, validation strategies, and practical model‑selection guidelines.
Fast Mobile showcased its AI model, 可灵AI, at the 2024 China Computer Conference, highlighting its achievements in generating over 3.7 billion videos and images, and announced a new research fund to foster academic-industry collaboration in AI.
The 2024 CCF Technology Achievement Awards honored Ant Group’s two projects—complex behavior modeling for digital inclusive finance security and Alipay terminal intelligent technology—highlighting their AI‑driven risk control, edge inference innovations, extensive research output, and large‑scale real‑world deployments.
This study investigates how the choice of calibration data, rather than the pruning algorithm itself, dominates post‑training pruning performance for large language models, revealing that data similarity to the original training set and synthetic data generation can significantly boost compression results.
At the CNCC2024 conference in Hangzhou, Ant Group and the China Computer Federation announced third‑phase research funds for green computing and privacy computing, committing tens of millions of yuan to support AI‑infra, model algorithms, trusted confidential computing, and related academic collaborations across leading universities.
At the 2024 World Science and Development Forum, Baidu CTO Wang Haifeng highlighted the rapid maturation of agent technology and large-model AI, the emergence of AGI, the continued relevance of scaling laws, and Baidu’s Wenxin Model 4.0 Turbo powering billions of daily interactions across diverse industries while emphasizing people-centric, responsible AI development.
This article explains the particle swarm optimization algorithm, presents its core velocity and position update formulas, and draws life‑learning parallels about personal experience, learning from others, and balancing persistence with flexibility.
This article presents the China Information and Communications Research Institute’s research on the Enterprise Digital Intelligence Capability Maturity Model (EDMM), detailing the concepts of data, intelligent, and knowledge middle platforms, the model’s four‑layer framework, its development stages, value propositions, long‑term mechanisms, and upcoming work plans.
This article introduces a cloud‑based feature production platform that simplifies feature engineering for recommendation, risk control and machine learning, explains its component‑based modeling framework, and answers common questions about deployment, performance, and customization, highlighting cross‑platform compatibility and optimization techniques.
This article outlines China's strategic push to establish a comprehensive data infrastructure—including legal frameworks, multi‑layered data circulation systems, secure computing resources, and AI‑driven applications—to unlock data as a core production factor and accelerate high‑quality digital economic growth.
The US Department of Justice’s 2024 antitrust action against Google aims to dismantle its dominance in search, advertising, Chrome, Play Store, and Android, potentially forcing structural remedies that could reshape the tech giant’s AI‑driven ecosystem and market competition.
The 2024 Nobel Prize in Physics was awarded to John J. Hopfield and Geoffrey E. Hinton for pioneering neural‑network research that transformed machine learning, underscoring artificial intelligence’s evolution from a technology into a scientific discipline.
This article examines the claim that C# is dead by exploring emerging competing languages, community perceptions, market trends, and the language’s robust ecosystem, highlighting its cross‑platform support, performance, security, and expanding roles in cloud computing, AI, mobile, game development, and beyond.
This report provides a comprehensive overview of the 2024 Chinese AI Agent industry, covering the definition and core architecture of AI agents, human‑AI collaboration modes, key features and classifications, market size forecasts, ecosystem players, business models, and emerging development trends.
The article reviews the evolution of artificial intelligence from early statistical models through deep learning and Transformer architectures, examines current breakthroughs like multimodal models, and discusses the technical, computational, and safety challenges that must be overcome before achieving artificial superintelligence (ASI).
This guide explains how to install the JetBrains AI Assistant plugin, outlines its code‑generation and refactoring features, and provides a practical workaround for mainland China users by adjusting account region, configuring system and IDE proxies, and starting AI‑driven conversations.
In this speech, Wang Jian reflects on the evolution of artificial intelligence, arguing that modern AI is fundamentally different from its early concepts, emphasizing the pivotal roles of data, models, and infrastructure, and exploring the transformative impact of AI+, transformers, and cloud platforms on future innovation.
This article introduces multi‑task learning, reviews industry category‑prediction methods, and details Zhaozhuan's practical application of MTL to improve e‑commerce search intent understanding through hierarchical category, brand, and model prediction using RoBERTa and contrastive learning.
The article examines Baidu Cloud’s large‑model‑powered digital police assistant “Yuanji,” detailing its deployment in Shijiazhuang, its voice‑enabled 24/7 Q&A capabilities, performance metrics, broader city rollouts, and the strategic AI partnership reshaping smart traffic management.
This article explores how Kubernetes enables AI workloads at the edge, detailing the challenges of edge environments, the need for sensors and data processing, hybrid VM‑container solutions, and future AI use cases that drive local, real‑time insights.
In his 2024 Inclusion·Bund Conference keynote, AI pioneer Michael Jordan stresses that advancing artificial intelligence requires collective collaboration, explicit handling of uncertainty, and economic incentive mechanisms, proposing a three‑layer data market model to foster decentralized, trustworthy AI systems.
OpenAI’s newly released o1 series introduces a reinforcement‑learning‑trained LLM that generates long chain‑of‑thought reasoning, achieving top‑50% scores on IOI contests, high rankings on Codeforces and AIME, and dramatically outperforming GPT‑4o across scientific and mathematical tasks.
This article examines the three dominant AI integration forms on PC—immersive agents, accompanying co‑pilots, and embedded AI—detailing their capabilities, UI designs, real‑world examples, and design considerations to help creators choose the most effective approach for each scenario.
While AI can automate many routine DevOps tasks such as scripting, CI/CD pipeline creation, and infrastructure design, it cannot replace the contextual understanding, critical thinking, experience, and judgment of senior DevOps engineers, who will evolve into architects and innovators rather than being rendered obsolete.
In this speech, academician Wang Jian reflects on the short, seven‑year history of modern AI, distinguishes AI, AI+ and AI infrastructure, explains how data, models and compute power have become the new foundational layer, and examines the roles of Google, OpenAI, transformers, and cloud services in shaping today’s AI revolution.
The talk reviews the rapid evolution of data technologies—from early database foundations and big‑data breakthroughs to the rise of generative AI—highlighting how Ant Group’s data platform is shifting from a cost‑efficiency focus to a value‑centric, multimodal, AI‑driven ecosystem.
In a 2024 Inclusion conference talk, researchers from Ant Group’s Graph Computing Lab and Fudan University discussed the structure and limited understanding of the human brain, introduced the concept and challenges of building a digital brain, and highlighted a joint graph‑based brain simulation project aimed at advancing both neuroscience and artificial intelligence.
The article reviews the rapid advances in generative AI and big‑data technologies, traces the historical development of data infrastructure, and argues that modern data systems are shifting from a cost‑efficiency focus to a value‑centric paradigm driven by multimodal, non‑structured data, vector search and machine‑oriented services.
This guide explains why fine‑tuning large language models is essential, demonstrates a practical example, and walks developers through selecting a model, uploading a dataset, launching fine‑tuning, deploying the customized model as an online inference service, and validating its performance on Huawei Cloud AI Gallery.
On September 5 at the 2024 Inclusion·Bund Conference, Ant InTech announced its first ten award-winning young scholars from top Chinese universities, highlighting their research in artificial intelligence, data processing, cloud computing, security, and related fields, each receiving a 200,000‑RMB grant.
This article compares GraphRAG with traditional RAG across seven dimensions—suitable scenarios, knowledge representation, retrieval, comprehensive queries, hidden‑relationship understanding, scalability, and performance‑cost trade‑offs—explains how they can be fused, and offers guidance on selecting the right approach for complex data‑driven applications.
This tutorial demonstrates how to set up a Linux environment, install PHP GD and V4L2, capture camera frames with FFmpeg via PHP, and apply the Fer2013 facial‑emotion model through a Python script to recognize human emotions, offering a practical starter guide for PHP‑based emotion detection.
The article explores how the rise of generative AI reshapes software development, arguing that engineers must blend hard technical expertise with philosophical thinking and soft skills such as reasoning, curiosity, creativity, and empathy to collaborate effectively with AI tools and navigate emerging ethical challenges.
The AI4R&D report released on July 25 2024 outlines how artificial‑intelligence technologies are reshaping scientific research and industrial development by boosting computing power, data utilization and toolchains, delivering breakthroughs in drug discovery, materials and simulation, and mapping an emerging ecosystem that promises faster translation of innovation into practical applications.
This article traces the evolution of business intelligence platforms from early report‑centric tools to modern AI‑enhanced, search‑driven solutions, detailing the architectural layers, high‑performance data analysis design, multi‑level aggregation, hot‑cold data tiering, and large‑model applications that enable zero‑threshold data consumption and intelligent insights.
IBM China abruptly removed access for more than a thousand research and testing staff, signaling a sudden, large‑scale layoff that coincides with the company's aggressive push into generative AI, cloud services, and a broader global restructuring effort.
The author reflects on two years of LLM work, describing how large language models shattered old NLP expertise, reshaped daily engineering tasks, leveled the playing field for newcomers, sparked a golden era of AI productivity, and why concerns about a bubble are largely irrelevant for programmers.
Recent breakthroughs in AI, from large language models gaining real-world simulation abilities to rapid AI-chip advancements and the surge of open-source models, are reshaping industries, highlighting both unprecedented opportunities and the need for ethical, secure deployment across sectors.
The JD Group's Project Management Talent Development Channel presented a series of expert talks and a round‑table at the third China PMO & PM Conference, covering data‑driven project intelligence, best practices in internet project management, AI‑enhanced workflows, and overseas delivery challenges, while highlighting JD's commitment to cultivating project management excellence.
High Bandwidth Memory (HBM) is a DRAM technology that uses stacked chips, TSV, and micro‑bump interconnects to deliver ultra‑high data rates, lower power consumption, and compact form factor, addressing the bandwidth, latency, power, space, thermal, and complexity challenges of traditional 2D memory in GPUs, AI, HPC, and data‑center workloads.
This article explains the essential metrics of AI chips—including TOPS and TFLOPS compute, precision formats like FP16, FP32 and INT8, and the roles of GPUs, ASICs and TPUs—while highlighting how Tensor Cores boost deep‑learning performance and comparing TPU efficiency to CPUs and GPUs.
The article breaks down multiple practical approaches for data preparation, training code handling, and experiment analysis in large‑language‑model fine‑tuning, showing how deeper engagement in each step can boost personal expertise even when final model performance appears similar.
This article examines OpenAI's recent ChatGPT API update that adds JSON‑formatted responses, detailing the technical background, implementation steps, example requests and responses, and the broader impact on developers, enterprises, and future AI applications.
Elon Musk has filed a second, expanded lawsuit against Sam Altman and OpenAI alleging fifteen breaches of contract and fraud, accusing the company of abandoning its original nonprofit, open‑research mission and seeking massive financial damages for his earlier $44.6 million investment.
This article explains what artificial intelligence (AI) is, how it differs from traditional programming, outlines its main categories, introduces machine learning, deep learning, neural network models such as CNN, RNN, and Transformer, describes large models and GPT, and discusses AI’s wide‑range applications and societal implications.
The 2024 XOps Forum in Beijing showcased a new era of smart operations, unveiling a record‑breaking AIOps survey that highlights rapid investment growth, rising adoption of large language models, evolving maturity levels, and key challenges such as model accuracy and data quality across Chinese enterprises.
Xiaohongshu’s search advertising recall system evolves from keyword bidding to BERT‑based vector retrieval and LLM‑enhanced query rewriting, using dual semantic and efficiency models, water‑level metrics, and GPU‑accelerated engineering to achieve 80 % click coverage, 60 % conversion coverage and a 5 % CPM lift.
This article explains the fundamentals of large language models, artificial general intelligence, AI-generated content, AI agents, retrieval‑augmented generation, knowledge bases, multimodal processing, fine‑tuning, alignment, tokens, vectors, and related tools, highlighting their capabilities, limitations, and practical considerations.
This article presents ModelScope‑Agent, an open‑source multi‑modal multi‑agent framework built on the ModelScope community, explains its underlying agent concepts, outlines its architecture and key features, showcases several real‑world applications such as ModelScope GPT, Story‑Agent and Facechain‑Agent, and includes a detailed Q&A on future directions and challenges.
This roundup highlights the latest AI breakthroughs, including Zhipu AI's video‑understanding model for temporal Q&A, Tencent's video‑to‑audio generation system, Vimeo's AI‑content labeling policy, Apple’s Core ML inclusion of ByteDance’s depth model, AMD’s acquisition of Silo AI, Claude’s new editing features, Quark’s all‑in‑one search AI, TikTok’s VR live streaming on Vision Pro, the launch of the "Xinliu" AI search assistant, and Canva’s restrictions on political AI‑generated posters.
This paper investigates the embedding dimensional collapse problem that hinders scaling of recommendation models and proposes a Multi-Embedding paradigm that learns multiple embeddings per feature with independent expert networks, demonstrating consistent performance gains across major CTR benchmarks and real‑world ad systems.
This article provides a comprehensive overview of large language models (LLMs), covering their basic concepts, relationship with NLP, development history, parameter scaling, offline deployment, practical applications, prompt‑engineering frameworks, retrieval‑augmented generation, LangChain integration, agents, workflow orchestration, and future directions toward multimodal AI and AGI.
This article presents a data‑driven football match prediction system that extracts match features, builds machine‑learning models—including linear, SVM, random forest, and deep neural networks—and evaluates their accuracy on European league data, then analyzes betting strategies, limitations, and extensions to stock forecasting.
This article explains how graph‑based techniques are used in financial anti‑fraud, covering background, the role of graphs in perception, judgment, decision and disposal, the evolution of graph solutions, a concrete case study, and future outlooks for AI‑enhanced risk detection.
This article walks through constructing a basic neural network using only Python and NumPy, explains the underlying concepts such as neurons, training cycles, sigmoid activation, and weight‑adjustment formulas, and provides complete, runnable code with sample inputs and outputs.
QR codes are everywhere, with over 100 billion scans daily, yet calculations using combinatorics and AI show that exhausting all possible codes would take far longer than the age of the universe, making depletion practically impossible.
A recent WIPO report reveals that between 2014 and 2023, generative AI generated over 54,000 inventions and 75,000 scientific papers, with China contributing the majority of patents and publications, while the United States lags far behind, highlighting shifting global innovation dynamics.
The two‑day DataFunCon 2024 Beijing conference gathered hundreds of big‑data and AI experts to discuss the evolution from data lakes to lake‑warehouses, large‑model development, practical applications, and future strategies for enterprises, while showcasing partner exhibitions and a vibrant community spirit.
genai is a Rust library that unifies the APIs of major large language models, offering a lightweight, native solution with simple chat‑focused examples, demonstrated through a dual‑model Rust program, and outlines future expansions such as additional model support, multimodal capabilities, and performance optimizations.
The DataFunCon 2024 Beijing conference opened with keynote speeches on the evolution of Alibaba Cloud's big data platform, explored distributed data warehousing, large model research, and practical AI applications, and concluded with a round‑table discussing future trends and enterprise strategies for big data and AI integration.
This article explains the fundamental concepts and architecture of artificial neural networks, describes their learning process, compares them with biological neural systems, and highlights both the similarities and key differences in structure, learning mechanisms, flexibility, and energy efficiency.
This article reports that OpenAI has stopped API services for China, surpassing Microsoft in revenue, while Huawei launches its AI‑focused Cangjie programming language, Bill Gates discusses AI energy impact, Lenovo backs Loongson CPU virtualization, the FSF adds new board members, CentOS 7 support ends, and GitHub Enterprise 3.13 is released.
Alibaba Cloud, in collaboration with Zhejiang University and Shanghai Jiao Tong University, received the China Automation Association’s top Science and Technology Progress Award for breakthrough ultra‑large‑scale cloud network control technology that achieves second‑level task configuration for hundreds of thousands of tasks, marking a first in China.
This article examines how large pre‑trained models such as GPT‑4 and BERT are integrated into modern recommendation systems, detailing their advantages, implementation strategies, real‑world e‑commerce case studies, and the technical and privacy challenges that must be addressed for effective deployment.
Quantum computing promises to overcome AI’s computational bottlenecks with exponential parallelism and lower energy use, as major tech firms unveil roadmaps, hardware advances across superconducting, ion‑trap, photonic and semiconductor platforms mature, and cloud‑based quantum services emerge, while the global market is projected to surge from $4.7 bn in 2023 to over $8 trillion by 2035.
The article outlines how artificial intelligence will drive transformative changes in 2024 across healthcare, finance, smart cities, everyday tech, and governance, highlighting emerging trends, innovations, and ethical challenges that will reshape our world.
This lecture outlines the rapid rise of generative AI models, traces the four eras of computing technology, examines the four stages of intelligent computing, highlights AI safety challenges, and proposes strategic choices for China to advance secure, affordable, and open‑source AI-driven intelligent computing.
This article chronicles Alan Turing’s groundbreaking work—from the invention of the Turing machine and his wartime code‑breaking feats to the birth of the Turing test—showing how his ideas continue to shape modern artificial intelligence, large language models, and the broader tech culture.
At WWDC 2024 Apple unveiled visionOS 2 with thousands of native apps, iOS 18’s personalized UI tweaks, iPadOS 18’s Math Memo and M4 chip, macOS Sequoia’s iPhone mirroring, a revamped Siri powered by GPT‑4o, and introduced Apple Intelligence—on‑device AI models that bring context‑aware writing, image generation and third‑party integration across its ecosystem.
This article explores the concept of intelligent risk control in banking, detailing its AI‑driven architecture, current challenges such as external data costs and model‑deployment friction, and proposes an integrated operational framework that leverages big data, knowledge graphs, and MLOps to enhance risk detection and decision‑making.
This article explores Retrieval‑Augmented Generation (RAG) by outlining its background, inherent challenges such as knowledge limits and hallucinations, describing the Naïve, Advanced, and Modular RAG paradigms, and presenting practical engineering strategies for pre‑retrieval, retrieval, and post‑retrieval optimization.
This guide explains how to download Chrome Canary, enable the Gemini Nano AI model via chrome://flags, verify the model download, and test it using a JavaScript console snippet, providing all necessary steps and resources for developers.
An in‑depth exploration of the Turing Machine’s abstract architecture, operational steps, and its pivotal role in defining computability, Turing‑completeness, undecidable problems, and complexity theory, while also highlighting modern applications in compiler design, theoretical research, and artificial intelligence.
The article provides a comprehensive analysis of China's domestic AI compute ecosystem, highlighting Huawei's Ascend chips occupying 79% of smart compute centers, detailing the hardware and software stack, comparing competing products from HaiGuang, Cambricon and JingJiaWei, and examining the market trends and performance benchmarks of major AI models in 2024.
The article explains how the diversity of privacy‑computing techniques creates confusion and reluctance in industry, argues for a unified security‑capability grading framework, and highlights recent standard‑setting efforts such as the Q/NFEC0001‑2024 guideline to balance safety and performance across sectors.
Reflecting on Turing’s pioneering computability theory and the Turing Test, the author acknowledges that while his ideas still shape modern AI and computing, the digital age’s internet, privacy, bias, and security challenges reveal a temporal gap that Turing could not have fully imagined.
This article explores the rapid rise of ChatGPT, explains how to craft effective prompts using a role‑background‑task‑output formula, demonstrates its applications in writing, style transformation, and various professional scenarios, and introduces a new book and community giveaway related to AI assistants.
OpenAI has created a new safety committee led by Sam Altman and board members, aiming to evaluate and improve safeguards while former researchers voice concerns about the company’s commitment to AI safety and ethics.
At VivaTech, Elon Musk discussed Neuralink’s human trials, warned about generative AI’s honesty and political correctness, promoted his new xAI venture, criticized social media’s impact on children, avoided Tesla tariff questions, and outlined SpaceX’s ambitious plans for lunar and Martian colonization.
This article analyzes whether large‑scale web crawls, when meticulously filtered and deduplicated, can match or surpass the performance of high‑quality curated datasets in training large language models, covering dataset composition, processing pipelines, experimental results, scaling‑law implications, and future data‑efficiency strategies.
CNCF has added a Cloud Native Artificial Intelligence (CNAI) category to its landscape, highlighting the deep integration of AI and cloud‑native technologies and outlining its significance for standards, tooling, and industry collaboration.
This report examines the technical evolution of large AI models, outlines industry demand, explains how these models add value across sectors, and discusses future challenges and considerations for large‑model‑driven transformation in a wide range of businesses.
Sam Altman’s hour‑long “All‑In” podcast interview unveils OpenAI’s latest GPT‑4o voice model, his bold vision for AGI, concerns about AI safety, the recent leadership shake‑up, and his ideas on universal access, regulation, and the transformative impact of conversational AI.
Spring AI brings artificial‑intelligence capabilities to the Spring Boot ecosystem, offering model support, vector‑database integration, SQL‑like filtering, and easy Maven configuration, enabling Java developers to add generative AI, semantic search, and AI‑driven image generation to their backend applications.
Geoffrey Hinton, the AI "godfather," warns that rapid AI advances could displace ordinary workers, urging governments to adopt universal basic income and ban AI weapons to prevent an existential economic takeover within the next two decades.
This article explains how GPUs, with their parallel architecture and extensive software ecosystem, have become essential for accelerating AI training and inference, outperforming CPUs and shaping the future of artificial intelligence across various industries.
In an extensive interview, Adobe CEO Shantanu Narayen explains how generative AI is reshaping the company's creative tools, cloud services, and content lifecycle, while addressing strategic investments, product innovation, risk management, and the broader impact on creators and the digital economy.
At the 6th National Youth Entrepreneurs Conference in Wuhan, 360 founder Zhou Hongyi highlighted the strategic importance of AI large models for new-quality productivity, outlined three development trends, and urged entrepreneurs to focus on specialized, scenario‑driven applications rather than competing in generic super‑model races.
Google I/O 2024 showcased a sweeping AI focus, unveiling Gemini 1.5 models, AI‑enhanced Android, Chrome’s Gemini Nano integration, the Project IDX AI‑powered IDE, and the new Firebase Genkit framework, while hinting at broader impacts on development tools and cloud services.
On May 18, 2024, CCF and Alibaba Mama will unveil the CCF‑Alibaba Mama Technology Fund—a global academia‑industry platform targeting next‑generation AI algorithms and large‑model research through ten projects in e‑commerce, knowledge‑enhanced generation, and legal AI, with a livestreamed forum featuring a keynote by Prof. Zhang Qi on boosting task performance.
The article details a SaaS company's two‑month development of an AI‑powered skin‑analysis solution, illustrating how DDD’s four‑color modeling split health services into aggregates, integrated Face++ APIs, and delivered a 30‑second, 30‑dimension skin report that attracted over 80 000 users and 9 000 orders.
This article explains the pivotal role of GPUs in today’s generative AI era, describes their architecture and applications, compares them with CPUs, ASICs, and FPGAs, and offers guidance on selecting the right processor for AI workloads while also noting related reference resources.
This monthly roundup highlights nine cutting‑edge topics—from Apple’s multimodal MM1 model and the Signals standardization proposal to Stable Video Diffusion, digital humans, micro‑frontend frameworks, Monkey testing automation, Tango low‑code sandbox, and cross‑platform app frameworks—offering deep insights and practical takeaways for modern developers.
This article introduces and demonstrates more than twenty widely used Python libraries for artificial intelligence, computer vision, natural language processing, and data analysis, providing concise explanations and runnable code snippets that illustrate each library's core functionality and typical use cases.
This article outlines the evolution from 1G to 6G communications, explains the third AI wave driven by big data, theory, and compute, introduces federated learning (horizontal, vertical, transfer), and details on‑device AI architectures, decision tree and neural network models, and real‑world use cases such as video preloading and autonomous driving.
On May 18 in Ningbo, CCF and Alibaba Mama unveiled the CCF‑Alibaba Mama Technology Fund—a global academia‑industry platform targeting next‑generation AI algorithms and large‑model research through ten projects in e‑commerce, tool generation, and legal services—accompanied by a keynote on boosting large‑model task performance and open registration for scholars.
