Tabla de Contenidos: “…LLMs: What's the Difference? -- The Three-Layer GenAI Application Stack -- The Infrastructure Layer -- The Model Layer -- The Application Layer -- Paths to Productionizing GenAI Applications -- Sample LLM-Powered Chat Application -- The Importance of Cost Optimization -- Cost Assessment of the Model Inference Component -- Cost Assessment of the Vector Database Component -- Benchmarking Setup and Results -- Other Factors to Consider -- Cost Assessment of the Large Language Model Component -- Summary -- Chapter 2 Tuning Techniques for Cost Optimization -- Fine-Tuning and Customizability -- Basic Scaling Laws You Should Know -- Parameter-Efficient Fine-Tuning Methods -- Adapters Under the Hood -- Prompt Tuning -- Prefix Tuning -- P-tuning -- IA3 -- Low-Rank Adaptation -- Cost and Performance Implications of PEFT Methods -- Summary -- Chapter 3 Inference Techniques for Cost Optimization -- Introduction to Inference Techniques -- Prompt Engineering -- Impact of Prompt Engineering on Cost -- Estimating Costs for Other Models -- Clear and Direct Prompts -- Adding Qualifying Words for Brief Responses -- Breaking Down the Request -- Example of Using Claude for PII Removal -- Conclusion -- Providing Context…”

Tabla de Contenidos: “…-- Examining ethical dilemmas - challenges in LLM-enhanced working -- Meta AI, or Meta Llama 3 -- ChatGPT on international security measures -- Racist Gemini 1.5 -- Detecting bias - tools and strategies -- Biases you might find in code and how to improve them -- Analyzing the training data -- Examining the code -- Preventing biased code - coding with ethical considerations -- Get good data -- Ethical guidelines -- Create transparent and explainable code -- Code reviews -- Your inevitable success -- Examples of getting the balance right -- Summary -- Bibliography -- Chapter 6: Navigating the Legal Landscape of LLM-Generated Code -- Technical requirements -- Unraveling copyright and intellectual property considerations -- The EU - needs the human touch -- The UK - human creativity and arrangements necessary for the creation -- The USA - no ownership of AI-generated works -- The People's Republic of China - whoever made the greater contribution -- Taiwan - human creative expression…”

Tabla de Contenidos: “…; Burnt Norton, una historia de amor; II. Bloc Garzón; Géminis: arte y vida; Tala; Para una poesía quirúrgica. …”

Tabla de Contenidos: “…SkyAtlas 2000.0Uranometria 2000.0; Choosing Charts; Miscellaneous Accessories; Eyepiece/Accessory Case; For More Information; Chapter 1: Andromeda, The Princess; Clusters, Nebulae, and Galaxies; Multiple Stars; Chapter 2: Aquarius, The Water Bearer; Clusters, Nebulae, and Galaxies; Multiple Stars; Chapter 3: Aquila, The Eagle; Clusters, Nebulae, and Galaxies; Multiple Stars; Chapter 4: Aries, The Ram; Clusters, Nebulae, and Galaxies; Multiple Stars; Chapter 5: Auriga, The Charioteer; Clusters, Nebulae, and Galaxies; Multiple Stars; Chapter 6: Boötes, The Herdsman…”

Tabla de Contenidos: “…D.P.M.: 9639 M 90.- -- 5.3.8. CANTERA GEMINIS. EXPTE. -- 5. 3.9. CANTERA CASA DE INDIOS. …”

Tabla de Contenidos: “…Option 1: Using an out-of-the-box toolkit for Azure AI Services -- Getting Started with AzureCognitiveServicesToolkit -- Setting up the toolkit -- Leveraging a single tool -- Leveraging multiple tools -- Building an end-to-end application for invoice analysis -- Option 2: Combining single tools into one agent -- YouTube tools and Whisper -- DALL·E and text generation -- Putting it all together -- Option 3: Hard-coded approach with a sequential chain -- Comparing the three options -- Developing the front-end with Streamlit -- Summary -- References -- Chapter 11: Fine-Tuning Large Language Models -- Technical requirements -- What is fine-tuning? …”

Tabla de Contenidos: “…Chapter 5: Google Cloud Solutions for Data Management -- Understanding the data journey -- Acme e-commerce - case study -- Exploring types of data -- Elaborating on Google Cloud solutions for data management -- Data pipelines -- Data lakes -- Data warehouses -- Business intelligence tools -- Summary -- Chapter 6: Machine Learning and Artificial Intelligence on Google Cloud -- AI overview and Google's contribution -- Considerations when building AI models -- Defining the problem -- Collecting the datasets -- Preparing the data -- Select the model and train it -- Evaluating the model -- Deploying the model -- Monitoring the model -- Google Cloud solutions for ML and AI -- Vertex AI and its associated services -- ML APIs -- AI business solutions -- Generative AI -- PaLM for text -- PaLM for chat -- Chirp for speech -- Imagen for text to image -- The embeddings API for text to image -- Codey -- Google AI Studio -- Gemini -- Summary -- Part 3: Infrastructure and Platform Modernization -- Chapter 7: Modernizing IT Infrastructure with Google Cloud -- The challenges with legacy infrastructure in the modern world -- Acme Inc. - buying servers -- The value of modernizing infrastructure with cloud technologies -- Agility -- Scalability -- Resilience -- Security -- The differences between hybrid and multi-cloud -- The evolution of computing from VMs to containers to serverless -- Summary -- Chapter 8: Modernizing Applications with Google Cloud -- The evolution of application development -- Acme Inc-development case study -- The benefits of cloud-native application development -- Google Cloud solutions for hosting applications -- Google Compute Engine (GCE) -- Google Cloud VMware Engine (GCVE) -- Sole-tenant nodes -- Kubernetes Engine (GKE) -- Cloud Run -- Artifact Registry -- Cloud Build -- App Engine -- Cloud Functions -- Summary -- Chapter 9: The Value of APIs…”

Tabla de Contenidos: “…Tools for Performance Measurement -- Tests for Statistical Assumptions -- Tests for Business Assumptions -- Intervals and Regions -- DoS (Design of Samples) -- DoE (Design of Experiments) -- Section 8.2 Juxtaposition by Method -- Paired Statistical Models -- Section 8.3 Data Splitting -- Coping with Hazards -- K-Fold Cross-Validation -- Sequential Validation (with Three or More Splits) -- Notes -- 9 Statistical Review-Act V -- Élan -- Qualifi cations and Roles of Reviewers -- Statistical Malpractice -- Section 9.1 Purpose and Scope of the Review -- Purpose -- Scope -- Context -- Section 9.2 Reviewing Analytics-Based Decision Making-Acts I to IV -- Reviewing Qualifi cations of Analytics Professionals-Checking the Q in QDR -- Restrictions Imposed on the Analysis -- Appropriate and Reliable Data -- Analytics Software -- Reasonableness of Data Analysis Methodology -- Reasonableness of Data Analysis Implementation -- Statistical Diagnostics-Checking the D in QDR -- Interpreting the Results (Transformation Back), Act III -- Reviewing Analytics-Based Decision Making, Act IV -- Closing Considerations-Documentation, Maintenance, Recommendations, and Rejoinder -- Notes -- Part III Building Blocks for Supporting Analytics -- 10 Data Collection -- Randomization -- Interval and Point Estimation -- Return on Data Investment -- Measuring Information -- Measurement Error12 -- Section 10.1 Observational and Censual Data (No Design) -- Section 10.2 Methodology for Anecdotal Sampling -- Expert Choice -- Quota Samples -- Dewey Defeats Truman -- Focus Groups14 -- Section 10.3 DoS (Design of Samples -- Sample Design -- Simple Random Sampling -- Systematic Sampling -- Advanced Sample Designs -- The Nonresponse Problem -- Post-Stratifying on Nonresponse -- Panels, Not to Be Confused with Focus Groups -- Section 10.4 DoE (Design of Experiments) -- Experimental Design…”

Tabla de Contenidos: “…GROUNDWATER RESOURCE MANAGEMENT -- THE MANAGEMENT OF GROUNDWATER RESOURCES IN THE MALTESE ISLANDS -- ESTIMATING THE EFFECT OF THE DESERT-ADAPT MEASURES ON FOREWATER AVAILABILITY FOR TEN AGRICULTURAL SITES IN EUROPEGEOLOGICAL CRITERIA TO THE 3D DELIMITATION OF GROUNDWATER BODIES (GWB) IN THE HYDROGRAPHIC DISTRICT OF SARDINIA -- THE ROLE OF THE NORCIA PLAIN AQUIFER IN THE GROUNDWATER FLOW OF THE SIBILLINI MTS. …”

Tabla de Contenidos: “….) -- AGRADECIMIENTOS -- ORIGEN Y PROPÓSITOS DEL PROYECTO -- PUESTA EN MARCHA -- PRINCIPALES CONCLUSIONES GENERALES -- Evolución de las disciplinas en la Argentina -- El sistema científico -- Producción científica argentina -- Sistemas de evaluación -- Formación de recursos humanos -- Sociedades y asociaciones científicas argentinas -- Publicaciones científicas argentinas y divulgación de la ciencia -- Recomendaciones -- CAPÍTULO 2: ASTRONOMÍA -- AGRADECIMIENTOS -- METODOLOGÍA EMPLEADA -- DEFINICIÓN DEL ÁREA EVALUADA -- Disciplinas -- ESTADO DEL CONOCIMIENTO DEL ÁREA EN EL MUNDO -- ANÁLISIS GLOBAL DEL ÁREA EN LA ARGENTINA -- Institutos y centros de investigación -- Infraestructura y financiación -- Producción científica argentina -- FORMACIÓN DE RECURSOS HUMANOS -- SOCIEDADES Y ASOCIACIONES CIENTÍFICAS ARGENTINAS -- COLABORACIONES Y PROYECTOS EN MARCHA -- Observatorio Gemini -- Proyecto LLAMA -- Proyecto ABRAS -- Proyecto TOROS -- Proyecto ISON -- Estudio de las condiciones astronómicas en el Cerro (...) -- PUBLICACIONES CIENTÍFICAS ARGENTINAS Y DIVULGACIÓN DE LA CIENCIA -- CONCLUSIONES Y RECOMENDACIONES -- Productividad -- Infraestructura y equipamiento -- Estrategias de asociación -- Transferencia de tecnología -- Recursos Humanos -- CAPÍTULO 3: BIOLOGÍA DE SISTEMAS -- AGRADECIMIENTOS -- METODOLOGÍA EMPLEADA -- DEFINICIÓN DEL ÁREA EVALUADA -- Disciplinas -- ESTADO DEL CONOCIMIENTO DEL ÁREA EN EL MUNDO -- ANÁLISIS GLOBAL DEL ÁREA EN LA ARGENTINA -- Grupos de Trabajo -- Infraestructura y financiación -- Producción científica argentina -- Transferencia de desarrollos tecnológicos y generación de patentes -- FORMACIÓN DE RECURSOS HUMANOS -- SOCIEDADES Y ASOCIACIONES CIENTÍFICAS ARGENTINAS…”