Prototyping Wiki Archive - Rock the Prototype - Softwareentwicklung & Prototyping

Refresh Token

Sascha Block2024-07-11T15:51:41+02:00Tags: Access Token, Administrative complexity, API, APIs, Apps, Authentication, blockchain-based solutions, Cloud security, Cloud services, Compliance, Cryptography, Data protection standards, Decentralized identities, DIDs, digital authentication systems, Flexibility, IT Security, Key areas, Refresh Tokens, Regulatory challenges, Scalability, Secure network protocols, Security, Security risks, Server infrastructure, Software Architecture, Technology improvements, Token, Tokens, User Experience|

What is a refresh token? Refresh tokens are essential components of modern authentication systems and an indispensable element in protocols such as OAuth 2.0 to enable the secure management of access rights to web resources. Find out more about how Refresh Token works and its life cycle...

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Reinforcement Learning

Sascha Block2025-01-26T18:51:25+01:00Tags: Actor-Critic Models, algorithmic trading, AlphaGo, autonomous vehicles, computational complexity, Deep Q-Networks, DQN, energy optimization, ethics in AI, Exploration vs. exploitation, Google Dopamine, Markov Decision Process, MDP, OpenAI Five, OpenAI Gym, overfitting, Policy-Based Methods, Portfolio Optimization, PyTorch, Q-Learning, Reinforcement Learning, Reward Design, reward maximization, RL, RLlib, Robotics, safety in AI, Scalability, Smart grids, sparse rewards, Stable baselines, Supervised Learning, TensorFlow, Unsupervised Learning|

Reinforcement learning is a branch of machine learning that trains agents to make optimal decisions by interacting with their environment. Reinforcement learning is used in autonomous vehicles, robotics, games such as AlphaGo and AlphaZero and the optimization of resources in energy systems.

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Release

Sascha Block2024-11-13T16:07:20+01:00Tags: Alpha release, Alpha releases, Beta release, Beta releases, Beta version, Beta versions, Bug fixes, Bugfix, Emergency release, Emergency Releases, Emergeny Fix, gile software development, Hotfix, Hotfixes, Iteration, Iterations, Major release, Minor Release, Programming, Release, Releases, Software, Software application, Software applications, Software Architecture, Software Design, Software development, Software release, Software release cycle, Software releases|

A release is a defined software version of an application. A software release is therefore a software version defined for users with a defined range of functions and maturity level. An initial software release generally represents the first generation of a new or improved software application.

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REST API (Representational State Transfer API)

Sascha Block2025-03-10T11:08:24+01:00Tags: API access rights, API auditing, API authentication, API benchmarking, API cloud integration, API compatibility, API data encryption, API data protection, API data validation, API deployment, API design, API development, API documentation, API error messages, API fault tolerance, API gateway, API governance, API integration, API interface, API interface management, API interoperability, API lifecycle, API load tests, API logging, API maintenance, API middleware, API migration, API Mock, API monitoring, API observability, API optimization, API orchestration, API performance, API rate limiting, API request, API response, API sandbox, API scalability, API schema, API security, API security best practices, API specification, API standardization, API test environment, API testing, API throttling, API usage guidelines, API usage statistics, API versioning, API virtualization, API-First, Cache control, Client-server architecture, CORS, Cross-Origin Resource Sharing, DELETE, End point, GET, HATEOAS, HTTP, HTTP methods, Idempotence, JSON, JWT, Load balancing, Microservices, OAuth, OpenAPI, PATCH, POST, PUT, Representational State Transfer, Resource, Resource model, REST API, REST constraints, REST vs. GraphQL, REST vs. gRPC, RESTful, RESTful Best Practices, RESTful Web Services, Reverse proxy, stateless, Status codes, Swagger, URI, Web API, XML|

What is a REST API? An overview of the strengths and weaknesses of REST APIs and everything you need to know about REST architecture...

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Retrieval Augmented Generation (RAG) – using AI models effectively

Sascha Block2024-03-30T10:36:37+01:00Tags: Advanced RAG, AI language models, AI technology, Artificial intelligence, Data processing, Dialog systems, FAQ, Language models, Modular RAG, multimodal applications, Naive RAG, Question and answer systems, RAG Systems|

What is Retrieval Augmented Generation (RAG)? Retrieval-Augmented Generation (RAG) is an advanced AI technique in AI language modeling based on the integration of external information sources to improve and augment answer generation. A RAG system combines the comprehensive knowledge capacities of a Large Language Model (LLM) with the ability to obtain specific information from an external knowledge repository. This AI method allows the model to generate answers based not only on its internally trained knowledge, but also on current, specific and extensive external data. Find out more now!

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Prototyping Wiki

Refresh Token

Reinforcement Learning

Release

REST API (Representational State Transfer API)

Retrieval Augmented Generation (RAG) – using AI models effectively

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