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Discover the latest developments in artificial intelligence. Learn how AI is changing our everyday lives, the economy, and technology—in an understandable, practical, and up-to-date way. Stay informed and don't miss out on any trends!
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From zero-shot prompting to RAG - Part 4: Meta prompting
In the fourth part of our series, we look at meta-prompting. While
Google A2A protocol: Agents can now do teamwork!
AI agents have established themselves as valuable resources that help companies to
Agentic vs. generative AI - what's the difference?
Two terms that are frequently used in the context of AI are
Von Zero-Shot-Prompten bis RAG – Teil 3: Chain-of-Thought Prompting
Few-Shot Prompting is an effective and flexible method of preparing language models for new tasks - without any additional training.
Google talks to dolphins: Google translator for animals
Google has taken a remarkable step towards understanding communication with dolphins. The
OpenAI presents GPT-4.1: A breakthrough in artificial intelligence
Recently, OpenAI took a significant step forward in the world of artificial
From zero-shot prompting to RAG - Part 2: Few-shot prompting
Few-Shot Prompting is an effective and flexible method of preparing language models for new tasks - without any additional training.
Sam Altman announces first new Open Weights model since GPT-2
With the announcement of the publication of an Open Weight Language Model, OpenAI is taking a decisive step towards openness and cooperation.
Revolutionary lingua franca for AI agents: What is MCP?
MCP provides a standardized interface to standardize the use of tools and thus significantly increase the efficiency and functionality of AI applications.
New series: from zero-shot prompts to RAG - How YOU can make better use of LLMs
Prompting depends on good and clear wording and an understanding of natural language. Nevertheless, certain techniques and methods can significantly improve the result of a prompt.
Mind-reading AIs - Anthropic manages to gain insights into the "black box" for the first time.
With the help of special analysis tools, a research team was able to identify neuronal activation patterns and concepts within the model that were previously only speculated.