AI technology

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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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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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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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AI technology

ChatGPT

Gemini AI model

Retrieval Augmented Generation (RAG) – using AI models effectively

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