Hub AI in practice

Artificial Intelligence is present in everyday life – from “googling” to facial recognition to vacuum cleaner robots. AI tools are becoming more and more elaborate and support people and companies more effectively in their tasks, such as generating graphics, texting or coding, or interpreting large amounts of data.

What AI tools are there, how do they work, how do they help in our everyday world – and how do they change our lives? These are the questions we address in our Content Hub Artificial Intelligence in Practice.

AI in practice
Update

OpenAI's largest model GPT-4.5 is now available for ChatGPT Plus

AI in practice

Anthropic launches Claude 3.7 Sonnet hybrid AI model and Claude Code programming tool

AI in practice

Anthropic CEO expects major AI breakthrough, plans to launch "virtual collaborators"

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AI in practice
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OpenAI plans to remove its GPT-4 language model from ChatGPT on April 30, according to a recent changelog announcement. The company will replace it entirely with GPT-4o, which OpenAI says performs better than the original model across writing, programming, and STEM tasks. While GPT-4 will disappear from ChatGPT, developers can still access it through OpenAI's API. The 2023 model, which CEO Sam Altman indicated cost over $100 million to develop, remains at the center of several ongoing copyright disputes, including a lawsuit from the New York Times.

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AI in practice
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OpenAI has introduced an Evals API that enables programmatic test creation and automation. The system lets developers integrate evaluations directly into their workflows while maintaining the same configuration options available in OpenAI's dashboard interface. Through API calls, teams can define test parameters, manage evaluation data, and rapidly refine prompts. While the API works with models from other companies, those models must support OpenAI's "Chat Completions API" format. Technical documentation is available in both the OpenAI Cookbook and API documentation.

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AI research

So-called reasoning models are more efficient but not more capable than regular LLMs, study finds

AI research

The next leap in AI depends on agents that learn by doing, not just by reading what humans wrote

AI in practice

OpenAI launches GPT-4.1: New model family to improve agents, long contexts and coding

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