Tabla de Contenidos: “…Cover -- Copyrights -- PREFACE -- Chapter 1: THE LARGE LANGUAGE MODEL REVOLUTION -- A Behind-the-Scenes Look at Natural Language Processing -- Language Models Getting Bigger &amp -- Better -- The Generative Pre-Trained Transformer: GPT-3 -- Generative models -- Pre-trained models -- Transformer Models -- Sequence-to-sequence models -- Transformer attention mechanisms -- GPT-3: A Brief History -- GPT-1 -- GPT-2 -- GPT-3 -- Accessing the OpenAI API -- Chapter 2: GETTING STARTED WITH OPENAI API -- OpenAI Playground -- Prompt Engineering and Design -- Breaking Down OpenAI API -- Execution Engine -- Response Length -- Temperature and Top P -- Frequency and Presence Penalties -- Best of -- Stop Sequence -- Inject Start Text and Inject Restart Text -- Show Probabilities -- Execution Engines -- DaVinci -- Curie -- Babbage -- Ada -- Instruct Series -- Endpoints -- List Engines -- Retrieve Engines -- Completions -- Semantic Search -- Files -- Embeddings -- Customizing GPT-3 -- Apps Powered by Customized GPT-3 Models -- How to customize GPT-3 for your application -- Tokens -- Pricing -- GPT-3's Performance on Standard NLP Tasks -- Text Classification -- Zero-Shot Classification -- Single-shot and Few Shot Text Classification -- Batch Classification -- Named Entity Recognition -- Text Summarization -- Text Generation -- Article Generation -- Social Media Post Generation -- Conclusion -- Chapter 3: GPT-3 AND PROGRAMMING -- How to use OpenAI API with Python? …”

Tabla de Contenidos: “…-- Enabling DevOps practices with GitLab flow -- Summary -- Chapter 4: Understanding GitLab's CI/CD Pipeline Structure -- Technical requirements -- Defining the terms pipeline, CI, and CD -- Understanding what a pipeline is -- Defining one pipeline per project -- Understanding different uses of the term "pipeline" -- Viewing a list of pipelines -- CI - finding out if your code is good -- CD - finding out where your code should go (and putting it there) -- GitLab Runners -- Parts of a pipeline - stages, jobs, and commands -- Stages -- Jobs -- Commands -- Fitting the pipeline pieces together -- Running GitLab CI/CD pipelines -- Branch pipelines -- Git tag pipelines -- Other types of pipelines -- Skipping pipelines -- Reading GitLab CI/CD pipeline statuses -- Configuring GitLab CI/CD pipelines -- Summary -- Part 2 Automating DevOps Stages with GitLab CI/CD Pipelines -- Chapter 5: Installing and Configuring GitLab Runners -- Technical requirements -- Defining GitLab runners and their relationship to CI/CD -- GitLab Runner is an open source application written in Go -- GitLab Runner runs CI/CD jobs specified in .gitlab-ci.yml -- The runner architecture and supported platforms -- GitLab Runner is supported on most platforms and architectures -- Runners can be specific, group, or shared -- Each runner has a defined executor -- Runner tags restrict which runners can pick up which jobs -- Installing the Runner agent -- Installing GitLab Runner -- Registering a runner with GitLab -- Considerations regarding the various runner types and executors -- Performance considerations…”

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Tabla de Contenidos: “…-- Summary -- Chapter 4: State Management Patterns and Their Implementations -- Technical requirements -- Diving into the world of MVX patterns -- Defining criteria for the state management pattern -- Embracing data binding with MVVM in Flutter -- Extracting data logic into the Model -- Emitting data via the Streams API -- Encapsulating state in CartState -- Implementing the MVVM and MVI patterns with flutter_bloc -- What is a cubit? …”

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