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

Google leans on token metrics, not revenue, adding to bubble talk about AI growth

AI in practice

OpenAI launches GPT-5 as a unified system with adaptive reasoning for complex tasks

AI in practice

OpenAI releases its first open-weight language models since GPT-2 with GPT-oss

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AI in practice
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Google is releasing a free generative AI learning course that will guide you through a curated collection of content on generative AI products and technologies. Courses range from the basics, such as large language models, to building and deploying your own generative AI solutions in the Google Cloud.

Other tutorials on generative AI outside of Google include those by AI expert Andrew Ng, who shows how to build systems using the ChatGPT API, how prompt engineering works, and how LangChain can be used for app development with language models on DeepLearning.AI.

[Google] [DeepLearning.AI]

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Investor Marc Andreessen proposes a plan for AI development to maximize societal benefits while countering Chinese dominance, suggesting that big AI companies and startups should aggressively build AI without government interference and advocating for barrier-free, open-source AI proliferation.

A key point is that big companies should not be "allowed to achieve regulatory capture, not allowed to establish a government-protect cartel insulated from market competition due to incorrect claims of AI risk." Andreessen emphasizes that governments and the private sector should work together to manage risks and use AI to solve global problems, with the ultimate goal of Western AI achieving global dominance.

[Read the full article]

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Clipdrop presents Reimagine XL, an enhanced image reimagination tool that removes direct pixel sourcing from the original image for "bold and unique" output. Instead of a text prompt, it uses existing images as "inspiration".

The model excels at handling multiple aspect ratios and requires no technical expertise. With advanced image encoder technology, Reimagine XL delivers a variety of outputs for applications ranging from fashion sketches to landscapes. Read our article about the original Reimagine here, and watch the video for some impressions on XL.

[Reimagine XL]

AI in practice
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The RedPajama project has released RedPajama-INCITE-7B-Instruct, the highest scoring open model on the HELM benchmarks, outperforming other state-of-the-art open models such as LLaMA-7B, Falcon-7B, and MPT-7B. The instruct-tuned model is optimized for a wide range of tasks and excels in few-shot performance.

RedPajama-INCITE-7B-Chat is available in OpenChatKit and is optimized for chat applications, while RedPajama-INCITE-7B-Base targets full reproducibility with ten checkpoints and a completely open training process. The whole RedPajama-INCITE family is clean for commercial use.

[Hugging Face - Chat Demo]

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AI and society

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