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26241Publicado 2023“…Whether youre looking to build dynamic teams using AI, choose a project development approach, or monitor project performance, this book has got you covered. Each chapter provides insightful narratives and includes a supplemental Technical Guide that provides tips on using the AI technology. …”
Libro electrónico -
26242Publicado 2024“…Understand the intricacies of the Linux boot process, system initialization, and system tuning to optimize performance and reliability. The course also covers essential networking concepts, including device management, connections, and hostname resolution. …”
Libro electrónico -
26243Publicado 2024“…What you will learn Explore the generative AI landscape and foundation models in Amazon Bedrock Fine-tune generative models to improve their performance Explore several architecture patterns for different business use cases Gain insights into ethical AI practices, model governance, and risk mitigation strategies Enhance your skills in employing agents to develop intelligence and orchestrate tasks Monitor and understand metrics and Amazon Bedrock model response Explore various industrial use cases and architectures to solve real-world business problems using RAG Stay on top of architectural best practices and industry standards Who this book is for This book is for generalist application engineers, solution engineers and architects, technical managers, ML advocates, data engineers, and data scientists looking to either innovate within their organization or solve business use cases using generative AI. …”
Libro electrónico -
26244Publicado 2024“…Begin your generative AI journey with Python as you explore large language models, understand responsible generative AI practices, and apply your knowledge to real-world applications through guided tutorials Key Features Gain expertise in prompt engineering, LLM fine-tuning, and domain adaptation Use transformers-based LLMs and diffusion models to implement AI applications Discover strategies to optimize model performance, address ethical considerations, and build trust in AI systems Purchase of the print or Kindle book includes a free PDF eBook Book Description The intricacies and breadth of generative AI (GenAI) and large language models can sometimes eclipse their practical application. …”
Libro electrónico -
26245Publicado 2022“…Author Steven Lott demystifies the approach, teaching you how to improve the way you code in Python and make gains in memory use and performance. Starting from the fundamentals, this book shows you how to apply functional thinking and techniques in a range of scenarios, with examples centered around data cleaning and exploratory data analysis. …”
Libro electrónico -
26246Publicado 2022“…Later, you'll cover topics such as monitoring and performance optimization, as well as strategies for managing model drift and handling updates and versioning. …”
Libro electrónico -
26247Publicado 2023“…Prerequisites A basic understanding of machine learning systems Recommended follow-up: Read "Infrastructure and Tooling for MLOps" (chapter 10 in Designing Machine Learning Systems) Watch "Energy-Efficient AI and High-Performance Computing Data Centers" (event segment video) Watch Fast and Lean Data Science with TPUs (video)…”
Video -
26248Publicado 2023“…Learning objectives Find and use pre-trained models Fine-tune models for custom tasks Build ML pipelines with Hugging Face libraries Create and version datasets Containerize models for production Automate workflows for MLOps Lesson 1: Getting Started with Hugging Face Lesson Outline Overview of Hugging Face Hub Browsing models and datasets Using Hugging Face repositories Managing spaces and access Lesson 2: Applying Hugging Face Models Lesson Outline Downloading models from the Hub Using models with PyTorch/TensorFlow Leveraging tokenizers and pipelines Performing inference with Hub models Lesson 3: Working with Datasets Lesson Outline Browsing datasets on Hugging Face Uploading and managing datasets Versioning datasets with dataset cards Loading datasets in PyTorch/TensorFlow Lesson 4: Model Serving and Deployment Lesson Outline Containerizing Hugging Face models Creating inference APIs with FastAPI Deploying to cloud services like Azure Automating with GitHub Actions About your instructor Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. …”
Video -
26249Publicado 2021“…Once you learn the patterns for designing cloud data platforms, you'll maximize performance no matter which cloud vendor you use. about the book In Designing Cloud Data Platforms, Danil Zburivsky and Lynda Partner reveal a six-layer approach that increases flexibility and reduces costs. …”
Grabación no musical -
26250Publicado 2019“…Il s'adresse à des étudiants comme à des universitaires confirmés et devrait être un outil performant pour tous les praticiens du droit ainsi que pour les chercheurs."…”
Libro -
26251Publicado 1997“…All the reengineering, restructuring, and downsizing in the world will merely destabilize a company if the change doesn't address the fundamental patterns of performance--and if the change doesn't recognize the unique core competencies of that company. …”
Libro -
26252Publicado 2019“…» à une époque où se profile l'apparition réelle de sosies « plus vrais que nature » et surtout plus performants. Les créations technoscientifiques actuelles, dont un développement sans précédent est prévu à court terme, ne peuvent plus être considérées comme relevant d'une imposture mais comme d'un surpassement du créateur par sa créature. …”
Libro -
26253por Zaffarana, Claudia Beatriz“…A detailed mapping of the internal structure of the granitoids of the region (the Central Patagonian Batholith) was performed combining petrographic, microstructural, anisotropy of the magnetic susceptibility (AMS) and rock magnetic studies. …”
Publicado 2011
Universidad Loyola - Universidad Loyola Granada (Otras Fuentes: Biblioteca de la Universidad Pontificia de Salamanca)Enlace del recurso
Tesis -
26254por Steinberg, Eliana Ruth“…The first cytogenetic characterization of Alouatta pigra karyotype X_1X_1X_2X_2/X_1X_2Y_1Y_2. Genomic was performed, exhibiting a 2N=58, conservation was studied by FISH analizing the syntenies 3/15 and 3/21, showing that these asociations are not conserved in the mesoamerican howlers, A. pigra y A. palliata. …”
Publicado 2011
Universidad Loyola - Universidad Loyola Granada (Otras Fuentes: Biblioteca de la Universidad Pontificia de Salamanca)Enlace del recurso
Tesis -
26255Publicado 2010“…This work is focused on a group of proteins called reversibly glycosylated polypeptide, RGP which have the unique capability to perform self-glycosylation upon incubation with UDP-Glc, UDP-Gal, UDP-Xyl and UDP-Ara given as product the glycosylated protein and the regeneration of the nucleotide diphosphate. …”
Biblioteca de la Universidad Pontificia de Salamanca (Otras Fuentes: Universidad Loyola - Universidad Loyola Granada)Acceso restringido con credenciales UPSA
Tesis -
26256por Rodríguez Lozano, Gema ( 1990-)“…The survival analysis was performed using the Kaplan Meier technique and the survival time was compared according to different variables with the Log Rank test (Mantel-Cox). …”
Publicado 2018
Electrónico -
26257Publicado 2013Biblioteca Universitat Ramon Llull (Otras Fuentes: Universidad Loyola - Universidad Loyola Granada, Biblioteca de la Universidad Pontificia de Salamanca)Libro electrónico
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26258
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26259Publicado 2019Electrónico
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26260