Artificial intelligence (AI) Archive - Rock the Prototype

AI & Us – Software development & artificial intelligence

Sascha Block2024-06-28T12:38:58+02:00Categories: Artificial intelligence (AI)|Tags: AI, AI, AI applications, AI Applications, AI Frameworks, AI Future, AI software development, AI technologies, AI Technologies, AI Tools, AI Tools, Artificial intelligence, Artificial intelligence, Automation, Automation, Career IT, Coding, Deep learning, Digital transformation, Digital transformation, Innovation, IT Career, machine learning, neural networks, neural networks, neural networks, Programming, Robotics, Robotics, Software development AI, Technology trends|

Artificial intelligence and us Welcome to the first episode

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AI Frameworks

Sascha Block2023-12-16T10:14:26+01:00Tags: Algorithms, Apache MXNet, Automation, Caffe, Cloud services, Data analysis, Deep learning, E-learning, Edge Computing, Ethics, Fast.ai, Fraud detection, Game development, IoT, IT Security, Keras, machine learning, medical diagnostics, Microsoft Cognitive Toolkit (CNTK), Model management, natural language processing, NLP, OpenAI Gym, Privacy, PyTorch, Robotics, Scikit-learn, TensorFlow, Theano|

AI frameworks are collections of software libraries, tools and guidelines that are specifically designed for the development of artificial intelligence (AI) are designed. Such frameworks provide developers with a structured starting point with a powerful AI environmentin which they can develop and implement algorithms for machine learning (ML), deep learning, natural language processing (NLP) and other AI-related technologies. Top 10 AI frameworks, Types of AI frameworks, Technological aspects of AI frameworks Application areas and use cases of AI frameworks

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AI language models

Sascha Block2025-02-05T13:55:57+01:00Tags: AGI, AI ethics, AI for companies, AI Governance, AI in everyday life, AI in research, AI language models, AI Research, AI safety, AI-supported creativity, Alexa, Algorithmic Bias, Artificial intelligence, Attention mechanism, Autoencoding, Autoregressive models, BERT, Bias in AI, bidirectional models, Chatbots, CLIP, Cloud computing, Computational linguistics, Computing power, Conversational AI, DALL-E, Data ethics, Deep learning, DeepMind, digital assistants, Embeddings, Energy-efficient AI, Explainability, Fairness in AI, Few-Shot Learning, Few-Shot Prompting, Fine tuning, GDPR, generative AI, generative language models, GitHub Copilot, GloVe, Google AI, Google Assistant, GPT, GPT-2, GPT-3, GPT-4, GPUs, Hallucinations in AI, Hugging Face, Information retrieval, Interpretability, Knowledge Graphs, Language processing, Large Language Models, LLM, LSTM, machine learning, machine translation, Masked Language Modeling, Meta AI, Model compression, multimodal AI, multimodal models, Named Entity Recognition, natural language processing, neural networks, NLP, Open source AI, OpenAI, OpenAI Codex, Perplexity, Privacy, Prompt Engineering, Prompt Tuning, Regulation, Reinforcement Learning, Responsible AI, Retrieval-Augmented Generation, RNN, Scalability, Self-Attention, Sentiment analysis, Siri, Supervised Learning, synthetic data, T5, Text classification, Text generation, Tokenizer, TPUs, Training data, Transfer Learning, Transformer, Unsupervised Learning, Voice assistants, Word2Vec, Zero-shot learning|

AI language models - what's behind them? Artificial intelligence is changing the way we interact with machines. Language models enable machines not only to understand language, but also to generate meaningful, human-like responses. Find out more now...

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Artificial Intelligence Act – All the facts about the EU’s AI Act

Sascha Block2025-01-11T10:02:52+01:00Tags: AI, AI Act, Algorithms, Artificial intelligence, Artificial Intelligence Act, Automated facial recognition, Compliance, Decision-making processes, Ethical use of AI, EU, European Union, GDPR, KI Gesetz, KI Gesetze, KI Regularien, KI Regulatorik, KI Vorschriften, Potential of AI, Regulation of AI technologies, Social scoring, Training data|

What is the EU's Artificial Intelligence Act - AI Act for short? The Artificial Intelligence Act (AI Act) is the world's first binding law regulating artificial intelligence (AI). The AI Act was adopted by the European Commission on March 13, 2024, after being introduced as a legislative proposal in April 2021. The AI Act is thus part of a broader European Union (EU) AI strategy that aims to harness the potential of AI while minimizing risks, maximizing opportunities, combating discrimination and ensuring transparency in the use of AI technologies.

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Artificial intelligence: How does Chat GPT work?

Sascha Block2024-04-12T09:18:22+02:00Categories: Artificial intelligence (AI)|Tags: AI, AI, AI models, Artificial intelligence, Artificial intelligence, Big Data, BigData, Chat GPT, ChatGPT, Data Science, DeepLearning, Distortions, Embeddings, FineTuning, GPT, Hallucinations, machine learning, Machine learning, neural networks, neural networks, NLP, PositionalEncoding, PreTraining, Prototyping, SelfAttention, Software development, Transformer|

Artificial intelligence: How does Chat GPT work? I unravel the threads of semantic probabilities and reveal how AI technology can come so incredibly close to our human understanding. Join me on an exciting journey through the neural landscape of GPT and expand your boundaries between human creativity and machine learning... ✅ What exactly is GPT? ✅ How does a Generative Pretrained Transformer (GPT) work? ✅ Chat GPT - facts about this fascinating AI technology ✅ How does GPT work and why is this AI model so groundbreakingly revolutionary? ✅ How is a GPT model actually trained? ✅ The revolutionary difference between GPT AI technology and traditional AI models ✅ The power of combining self-attention and positional encoding ✅ Pre-training - the pre-training process of AI ✅ How does GPT process all this information? ✅ The embeddings strategy of the AI model

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ChatGPT

Sascha Block2023-12-29T10:55:35+01:00Tags: AI, AI language modells, AI Modells, AI Technologies, AI technology, AlexNet, Context limitations, Dartmouth Conference, Deep Blue, Distortions, GPT-2, GPT-3, ImageNet, Software Architecture, Software Design, Software development, Top-k Sampling, Turing test|

ChatGPT is currently the most powerful AI in the form of a state-of-the-art language processing model, developed by OpenAI, based on the GPT architecture (Generative Pre-trained Transformer). As a variant of the GPT-3 and later the GPT-4 family, this AI model is characterized by its ability to generate human-like texts and respond to a variety of inputs in natural language. AI models are trained using machine learning and a large amount of text data to understand and mimic the patterns and nuances of human language. Artificial intelligence (AI) and AI applications are now extremely diverse, ranging from answering questions and creating content to complex discussions on a wide range of topics.

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Deep learning frameworks

Sascha Block2025-02-01T17:01:23+01:00Tags: Activation Functions, AI benchmarking, AI deployment in the cloud, AI ethics, AI for autonomous systems, AI for companies, AI for image recognition, AI for language models, AI for recommendation systems, AI for robotics, AI for word processing, AI Frameworks, AI in medicine, AI in production, AI in the automotive industry, AI in the financial sector, AI infrastructure, AI optimization, AI Performance, AI Pipeline, AI Research, AI toolkits, AI training, Algorithmic fairness, Algorithmic optimization, Artificial intelligence, artificial neural networks, Autoencoder, AutoML, Backpropagation, Batch Normalization, BERT, Bias in AI, Big Data, Caffe, Cloud-based AI, Clustering, CNTK, Computer Vision, Convolutional Neural Networks, Cross Validation, Data Augmentation, Data Parallelism, Data Science, Deep learning, Deep reinforcement learning, DeepMind, Deployment of AI models, Deployment strategies, Dropout, Edge AI, Edge Computing, Explainable AI, Feature engineering, Federated Learning, Few-Shot Learning, FPGAs, Generative Adversarial Networks, GPT, GPU acceleration, Gradient Descent, Graph Neural Networks, Hardware acceleration for AI, High-Performance Computing, Hyperparameter optimization, Hyperparameter tuning, Image classification, Industrial applications for AI, Inference, Interpretability of models, JAX, Keras, Language processing, Loss function, LSTM, machine learning, Machine Learning Operations, MobileNet, Model compatibility, Model compression, Model management, Model Parallelism, Model Quantization, Model Serving, Model validation, MXNet, natural language processing, neural networks, neuronal architecture, NVIDIA CUDA, Object recognition, ONNX, Open Source, OpenAI, OpenAI Gym, Optimization, PyTorch, Recurrent Neural Networks, Regularization, Reinforcement Learning, ResNet, Scalability, TensorFlow, Theano, TPUs, Training of models, Training Pipelines, Transfer Learning, Transformer models, VGG, Zero-shot learning|

What are deep learning frameworks? Deep learning frameworks are

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From Stargate to Europe: Why innovation has no future without values

Sascha Block2025-01-27T19:52:05+01:00Categories: Artificial intelligence (AI)|Tags: BSI, BusinessLeadership, Change management, Countries, Country, Covenant, Data sovereignty, Democracy, Development, Digital transformation, Digitization, DonaldTrump, Egovernment, Elon, ElonMusk, EntrepreneurialSpirit, Entrepreneurship, Federalism, GovTech, InnovativeThinking, IT Security, ITSec, ITSecurity, Leadership, Municipality, Musk, NeverAgainNow, NWIJ, OZG, Public administration, Rule of law, Security, Software Architecture, Software development, Supervisory authority, Supervisory bodies, Telematics infrastructure, Trump, Trust, VisionaryLeadership|

From STARGATE to us in Europe: Why innovation has no future without values - What connects Trump's "Stargate" promise, Europe's invisibility in Davos and Elon Musk's statements at an AfD event? A common theme: responsibility

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Gemini AI model

Sascha Block2023-12-09T19:11:54+01:00Tags: AI development, AI ethics, AI innovation, AI integration, AI model, AI regulation, AI technology, Artificial intelligence, Audio processing, Code generation, Data security, Deep learning, ethical AI, Gemini, Google DeepMind, Image analysis, Language processing, machine learning, Multimodality, neural networks, Privacy, Reinforcement Learning, Research and development, Supervised Learning, Technology innovation, Text analysis, Unsupervised Learning, Video analysis|

Gemini is an advanced AI language model developed by Google DeepMind. It serves as the successor to the earlier AI models LaMDA and PaLM 2 and was presented by google in December 2023. Gemini is characterized as an AI model by its multimodality, which means that it can process different types of data, including text, images, audio, video and computer source code. What can the gemini AI do? Gemini will be integrated into Google's search engine, the google advertising products and the Chrome browser. Learn all about google AI now...

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Artificial intelligence (AI)

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