Materias:

Tabla de Contenidos: “…Upgrading to world class -- Air capacity for Sydney -- Executive Summary -- Airport capacity expansion strategies in the era of airline multi-hub networks -- List of Participants -- Expanding airport capacity under constraints in large urban areas -- Evolution of metropolitan airports in Japan…”

“…Supercomputing facilities are becoming increasingly available for simulating activity dynamics in large-scale neuronal networks. On today's most advanced supercomputers, networks with up to a billion of neurons can be readily simulated. …”

“…Large Scale C++…”

“…In this paper we study the macroeconomic effects of large exchange rate appreciations. In a sample of 128 countries since 1960, we identify 25 episodes of large nominal and real appreciations shocks and study their macroeconomic effects in a dummy-augmented panel autoregressive model. …”

“…Large Language Models (LLMs) like Llama 3, Claude 3, and the GPT family are demonstrating breathtaking capabilities, but their size and complexity have deterred many practitioners from applying them. …”

“…This work develops highly efficient algorithms for analyzing large images. Applications include object-based change detection and screening. …”

Tabla de Contenidos: “…Model servers and end-to-end hosting optimizations -- Summary -- References -- Part 5: Deploy Your Model -- Chapter 13: Prompt Engineering -- Prompt engineering - the art of getting more with less -- From few- to zero-shot learning -- Text-to-image prompt engineering tips -- Image-to-image prompt engineering tips -- Upscaling -- Masking -- Prompting for object-to-image with DreamBooth -- Prompting large language models -- Instruction fine-tuning -- Chain-of-thought prompting -- Summarization -- Defending against prompt injections and jailbreaking -- Advanced techniques - prefix and prompt tuning -- Prefix tuning -- Prompt tuning -- Summary -- References -- Chapter 14: MLOps for Vision and Language -- What is MLOps? …”

Materias:

“…The advancement of Large Language Models (LLMs) has revolutionized the field of Natural Language Processing in recent years. …”

Tabla de Contenidos: “…PHP and Smarty on Large-Scale Web Development; Why PHP and Smarty on Large-Scale Web Development?…”

Tabla de Contenidos: “…Large Scale Network-Centric Distributed Systems; Contents; Preface; Acknowledgments; List of Figures; List of Tables; List of Contributors; Part1: Multicore and Many-Core (MC) Systems-on-Chip; 1 A Reconfigurable On-Chip Interconnection Network for Large Multicore Systems; 1.1 Introduction; 1.1.1 Multicore and Many-Core Era; 1.1.2 On-Chip Communication; 1.1.3 Conventional Communication Mechanisms; 1.1.4 Network-on-Chip; 1.1.5 NoC Topology Customization; 1.1.6 NoCs and Topology Reconfigurations; 1.1.7 Reconfigurations Policy; 1.2 Topology and Reconfiguration; 1.3 The Proposed NoC Architecture…”

Tabla de Contenidos: “…5.A.6 Proof of Theorem 5.22 -- References -- 6 Distributed State Estimation in an LSS -- 6.1 Introduction -- 6.2 Predictor Design With Local Measurements -- 6.2.1 Derivation of the Optimal Gain Matrix -- 6.2.2 Relations With the Kalman Filter -- 6.2.3 Robusti cation of the Distributed Predictor -- 6.3 Distributed State Filtering -- 6.4 Asymptotic Property of the Distributed Observers -- 6.5 Distributed State Estimation Through Neighbor Information Exchanges -- 6.6 Bibliographic Notes -- Appendix 6.A -- 6.A.1 Proof of Theorem 6.1 -- 6.A.2 Proof of Theorem 6.2 -- 6.A.3 Proof of Theorem 6.3 -- 6.A.4 Proof of Theorem 6.4 -- 6.A.5 Derivation of Eqs. (6.46) and (6.47) -- 6.A.6 Proof of Theorem 6.7 -- 6.A.7 Proof of Theorem 6.8 -- References -- 7 Stability and Robust Stability of a Large-Scale NCS -- 7.1 Introduction -- 7.2 A Networked System With Discrete-Time Subsystems -- 7.2.1 System Description -- 7.2.2 Stability of a Networked System -- 7.2.3 Robust Stability of a Networked System -- 7.3 A Networked System With Continuous-Time Subsystems -- 7.3.1 Modeling Errors Described by IQCs -- 7.3.2 Robust Stability With IQC-Described Modeling Errors -- 7.4 Concluding Remarks -- 7.5 Bibliographic Notes -- Appendix 7.A -- 7.A.1 Proof of Theorem 7.3 -- 7.A.2 Proof of Theorem 7.4 -- References -- 8 Control With Communication Constraints -- 8.1 Introduction -- 8.2 Entropies and Capacities of a Communication Channel -- 8.2.1 Entropy in Information Theory -- 8.2.2 Topological Entropy in Feedback Theory -- 8.2.3 Channel Capacities -- 8.3 Stabilization Over Communication Channel -- 8.3.1 Classical Approach for Quantized Control -- 8.4 Universal Lower Bound -- 8.5 Coder-Decoder Design -- 8.6 Extension to Lossy Channels -- 8.6.1 Erasure Channels -- 8.6.2 Gilbert-Elliott Channels -- 8.7 Bibliographic Notes -- References -- 9 Distributed Control for Large-Scale NCSs…”

Tabla de Contenidos: “…Methods and tools -- Monitoring model analytics over large repositories with Hawk and MEASURE -- Model analytics for defect prediction based on design-level metrics and sampling techniques -- Structuring large models with MONO: notations, templates, and case studies -- Delta-oriented development of model-based software product lines with DeltaEcore and SIPL: a comparison -- OptML framework and its application to model optimization -- Part 3. …”

“…Who Says Large Teams Can’t Handle Agile Software Development? …”

“…Today, they ask, “Just how large can we scale virtualized Java application platforms, and just how efficiently can we tune them?” …”