Prototyping Wiki Archive - Page 5 of 10 - Rock the Prototype

Kerckhoff principle

Sascha Block2024-11-10T13:28:12+01:00Tags: Algorithm, Algorithms, Crypto algorithm, Crypto algorithms, cryptographic procedures, Cryptography, IT Security, IT security architecture, IT-Security, Kerckhoff principle, Kerckhoff's principle, key, Keys|

The Kerckhoff principle states that the security of a cryptographic process is not based on the secrecy of the algorithms. Today, Kerckhoff's maxim is considered an important principle of cryptography.

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Kubernetes

Sascha Block2025-01-24T14:50:10+01:00Tags: API service objects, App, Apps, Cloud services, Cluster autoscaler, ClusterIP, Container applications, Container deployments, Container runtime, Control-Plane, Cubelet, Design Pattern, dynamic IP address, dynamic IP addresses, Ephemeral container, Etcd, Ingress, Ingress configuration, Ingress controller, iptables, Key Value Store, kube API server, Kube Controller Manager, Kube proxy, Kube-Scheduler, Kubernetes architecture, Kubernetes clusters, Kubernetes node, Kubernetes-Cluster, Load balancer, Master Node, Master Nodes, Master-slave architecture, node, NodePort, Pod, Pods, Programming, ReplicaSets, Software Architecture, Software Design, Software development, Vertical Pod Autoscaler, Web App, Web Apps, Worker Node, Worker Nodes, Working node, YAML configuration, YAML configuration file|

What is Kubernetes? Kubernetes is a DevOps tool for containerization and as an open source tool, the Kubernetes container orchestration tool manages the deployment, scaling and management of containerized applications.

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Library

Sascha Block2023-12-22T10:05:11+01:00Tags: Design Pattern, Frameworks, JavaScript, Microservices, MVP, Program Microservice, Programming, Software Architecture, Software Design, Software library, Web Apps|

A library refers to a software library as a ready-made collection of code that can be used to perform general software development tasks. Libraries are essentially a collection of functions and procedures that can be called up by other software programs to execute certain functions.

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LLAMA3 – AI model for natural language processing

Sascha Block2024-04-23T14:35:46+02:00Tags: AI model, Algorithm development, Chatbots, Efficiency, LLAMA3, machine translation, natural language processing, NLP, Open Source, Scalability, Training data, Transformer architecture|

What is LLAMA3? LLAMA3 is a state-of-the-art artificial intelligence (AI) model for natural language processing. As an AI model, it is known for its ability to understand and generate human-like speech. LLAMA3 differs from its predecessors by its open-source availability and its efficient structure, which makes it possible to achieve high-quality performance with a smaller number of parameters.

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Loops

Sascha Block2024-11-13T10:35:41+01:00Tags: App, Apps, Boolean check, Condition, conditional expression, Conditions, Design Pattern, Develop software, for, For loop, For loops, Infinite loops, Loop, Loops, MVP, Nested loops, Program software, Programming, Recursion, Software Architecture, Software Design, Software development, While, While loop, While loops|

In computer science, a loop is a program structure that repeats a sequence of instructions until a certain condition is met.

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Machine Learning

Sascha Block2023-12-10T19:11:37+01:00Tags: Alan Turing, Algorithms, Artificial intelligence, Artificial intelligence programs, artificial neural networks, Automation, Backpropagation, Big Data, Chess program, continuous learning, Convolutional Neural Networks (CNNs), Data, Decision making, Deep learning, Efficiency, Image processing, Logic Theorist, machine learning, Models, natural language processing, Pattern recognition, Perceptron, personalized recommendations, Predictions, Recurrent Neural Networks (RNNs), Turing machine|

Machine learning is a branch of artificial intelligence (AI) that deals with the development of algorithms and models that enable computers to learn from experience and data, recognize patterns and make predictions without being explicitly programmed. The aim of machine learning is to enable computers to learn independently from data and extract information in order to master complex tasks. We explain which concepts are used to do this and how predictions can be made by adapting models to existing data.

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Micro front end

Sascha Block2024-12-02T05:21:34+01:00Tags: App, Apps, Cloud, Cloud services, Design Pattern, Design prototypes, Design prototyping, Engineering prototype, Micro front-end pattern, Microservice programming, Microservices, MVP, Object orientation, Program Microservice, Programming, Prototype, Prototyping, Single Page App, Software Architecture, Software Design, Software development, Web App, Web Apps, Web front end, Web front-ends, Web microservice, Web microservices, WebApp, Webbrowser, Website, Websites|

The micro frontend is a design pattern that uses the strengths and advantages of microservices to improve the user experience of a web frontend.

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Microservices

Sascha Block2024-11-16T10:08:48+01:00Tags: autonomous microservices, Java, Microservice, Microservice communication, Microservice design, Microservice programming, Microservices, Program Microservice, Programming, Python, REST, REST API, Restfull, Restfull Design, small microservices, Software Architecture, Software Design|

Microservices are small, autonomous services that work together. The key to a good microservice architecture lies in the implementation of small and autonomous microservices.

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Natural Language Processing (NLP)

Sascha Block2025-01-24T15:57:08+01:00Tags: AllenNLP, API integration, Artificial intelligence, Attention mechanism, Azure Text Analytics, BERT, Bias reduction, bidirectional models, Chatbot development, Computational linguistics, computational semantics, Constituent parsing, Context-aware models, Contextual embeddings, Conversational AI, Corpus analysis, Data preprocessing, Deep learning, Dependency parsing, Dialog systems, ethical AI, Fairness in AI, Gated Recurrent Unit (GRU), GloVe, Google Cloud NLP, GPT, Handling sensitive data, Hugging Face, IBM Watson, Information retrieval, Language comprehension, Language models, Lemmatization, Long Short-Term Memory (LSTM), machine learning, morphological analysis, Multilingual NLP, Named Entity Recognition (NER), natural language processing, neural networks, NLP, NLTK, NLU (Natural Language Understanding), OpenNLP, Parsing algorithms, Privacy, PyTorch, Question answer, recurrent neural networks (RNN), Self-Attention, semantic analysis, Sentiment analysis, Sentiment classification, Sequence modeling, spaCy, Speech recognition, Speech-to-text, Stemming, syntactic analysis, TensorFlow, Text analysis, Text classification, Text generation, Text mining, Text parsing, Text summary, Text-to-speech, Tokenization, Transformer models, virtual assistants, Word embeddings, Word type tagging, Word2Vec|

Natural Language Processing (NLP) - a highly specialized subfield of artificial intelligence (AI) How do machines understand human language? Natural Language Processing is the key to bridging the gap between humans and machines

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