Problem-solver in extraordinary circumstances: How Offline-AI tackles your challenges

The advantages of an optimized AI for companies and administration can even be demonstrated on a laptop offline. This Offline-AI performs better than any universal intelligence like ChatGPT in many use cases. It offers full data control and runs very cost-effectively even in continuous operation.

Introduction

This post is a practical example of the possibilities of Offline-AI. But first, a short introduction to Offline-AI. It has been possible for a year now, but only recently has it become so powerful, even for the German language.

Offline-AI is a locally running AI on its own computer or server. Offline means that the AI system runs completely without internet connection. This results in no data being sent to third parties. The following advantages are offered by an Offline-AI, especially:

• Companies and authorities get problem solver for their use cases.
• At any time new AI language models, Stable Diffusion image models, audio models, video models can be installed and used.
• Even continuous operation is cost-effective possible. Goodbye Microsoft Azure. Goodbye security loopholes.
• A self-improving AI that can criticize itself is practically possible.
• Legally simple: Contract processing agreements are unnecessary; the dubious Opt-Out instead of an opt-in inquiry that ChatGPT offers, has no legal consequences anymore. Nobody needs to jump again when another supervisory authority bans ChatGPT.

For completeness' sake, it should be noted that the programming interface (API) of ChatGPT does indeed sometimes make sense. However, this case is becoming increasingly rare thanks to open-source language models that are becoming more powerful on a weekly basis. To preface: With an API, so much can be done. To illustrate: From your given prompt, a language model forms a program description of an image composition, which is then converted by a image generation model into an image. Here's an example output:

For German as a language, there are often better language models than ChatGPT. Either they are qualitatively better or cheaper. Interested parties should look at Claude, Command R+ and Mistral. Offline-AI is more fun, though, and better for concrete problems.

When Offline-AI and when general chatbot?

If you want to know how high the third-highest mountain in the world is, feel free to use ChatGPT. Using chatbots like this one for occasional summarizing of public texts for semi-professional purposes is also a good application. These chatbots are also available for a harmless chat.

Using a chatbot as a search engine is an approach that apparently many people like. If you want a particularly powerful search engine, you're better off with Offline-AI. OpenAI will certainly not read and evaluate a specific website with 5,000 subpages for you.

A high reliability of results is not only desirable but always important in a professional environment. Whoever needs this reliability requires an Offline-AI with mechanisms for quality control.

Sensitive data, business secrets or personal information should not be entered into a third-party system of American providers by anyone. Firstly, US laws like the Cloud Act, FISA 702 or Executive Order 12333 allow American authorities and intelligence agencies to access this data. Secondly, security breaches in popular chatbots and systems from Microsoft (majority shares in ChatGPT!) occur almost regularly. Thirdly, legal assessments and regulations need to be made, which only happens on paper and is a lot of work.

With intelligent AI solutions, companies and administrations can overcome challenges.

Faster, better, and easier than ever.

An Offline-AI can run permanently. Why, some wonder. Why do humans study for 5 years? To get better. Exactly that can an Offline-AI do. Only this self-improvement does not take years, but often seconds or a few hours.

What is possible with Offline-AI?

Offline-AI can do a lot. Even more than ChatGPT. It all depends on the application case. Your data, your use case. Even if you don't have your own data, Offline-AI is usually better.

In the previous section, an example was already given: Retrieving information from the internet. Searching for information on the internet and subsequently evaluating it is also a very good use case for an Offline-AI. For example, current news can be retrieved daily and automatically evaluated with the company's own AI.

How about a market analysis or a competitive observation? It doesn't go well at all with general chatbots, because the data has to be obtained first. This data acquisition is easily automated. Whoever takes this small step gets out of the innovation-hostile comfort zone. As a reward, there's maximum independence, full control and above all better results!

Examples of AI use in administration:

Citizens (or customers) want to make a request. The search for the right form or brochure can be optimally supported by AI. AI is used here for semantic search. This relieves administrative staff and enables them to work more productively.

If a leaflet is too complicated, AI can summarize it in simpler language.

If a form or application is only available in German or English but the citizen understands only Ukrainian, then the document can be translated with AI.

Similar requests and forms related to a found request or form can be found with AI. Also laws, internal guidelines and judgments related to a process can be found in this way. Staff members are thus supported as best possible.

Analog possible for processing damage reports, customer inquiries or support tickets.