More business value with ChatGPT and Co

Opportunities for companies thanks to AI

We explain the basics of language models and show how to use them safely and profitably in companies.

Welcome to the fascinating world of GPT and Co! You may have already heard of ChatGPT, but did you know that this groundbreaking technology, so-called Large Language Models, have much more to offer companies than mere text generation?

From lead generation to support in internal knowledge management, language models can take over manual and time-consuming tasks. They can also provide valuable support in the preparation of content in a variety of forms.

Our Machine Learning experts are ready to help you apply this technology profitably. We hope our enthusiasm for language models can inspire and excite you!

What is a Large Language Model?

Large Language Models 101

A Large Language Model (LLM) is a model that can process and generate natural language by using statistical methods to recognize and interpret language structures. It mimics the human ability to analyze and understand language and enables the generation of new content, which is part of the field of generative artificial intelligence.

Can language models be useful in companies?

Yes, language models offer a wide range of opportunities for companies, not only by making internal processes more efficient, but also by improving products and services. Their strength lies in their ability to analyze natural language contextually, which makes them particularly useful for filtering relevant information from large amounts of data and generating new content.

Our team of data & AI specialists has the expertise to tailor language models precisely to the needs and challenges of a company. We have successfully demonstrated this customized approach in a project in industrial plant construction.

In cooperation with our partner and the digital marketing experts from 123Consulting, we have developed a "content generator" based on a language model and achieved considerable success with it.

success story: How a Large Language Model takes our client's marketing to the next level

The content generator

We developed a content generator for a client to create efficient and high-quality marketing content.

Since the client lacked the time and resources to write this content manually, we trained a Large Language Model specifically to meet the client's needs.

This model has extensive knowledge about products, services, the desired writing style (tone of voice), and the company's unique selling points (USPs). With this special training, the model is now able to generate high-quality content that meets the customer's requirements and goals.

Are there any legal aspects to consider?

From a legal perspective, the main issue to consider is copyright.
Using training data that is protected by copyright without the necessary rights or licenses can have legal consequences.

Trustbit x Binder Größwang

The law firm Binder Größwang is a proven expert in the legally secure use of technologies such as ChatGPT and similar solutions and a valuable partner at Trustbit's side.

In the context of enterprise language models, our customers thus benefit not only from our technical expertise, but also from our strong network.

Maximum data security

Self-trained models in a protected runtime environment

Even with self-trained models that process sensitive content, it is possible to ensure that the data does not end up on servers where it should not be.

This is possible by running the application in a so-called local runtime environment. In this protected environment, the data remains under your control and is not inadvertently passed on to third parties.

This ensures a high level of security and data protection, especially when confidential or sensitive information is processed.

Other advantages of local versions

In addition to the data security aspect, there are other arguments for companies to run language models locally instead of using cloud offerings.

→ LOWER COSTS

On-premises versions offer better cost control and the opportunity to save money in the long term (as opposed to paying monthly to Azure/OpenAI).

→ FULLY FINE-TUNED MODELS

Local executions offer the ability to create fully fine-tuned models tailored to your business and history.

→ VENDOR-INDEPENDENCE

When models and data are hosted only in one provider's cloud, it can be difficult to switch to another. Running models locally avoids this lock-in and provides more flexibility.

→ BETTER PERFOMANCE AND RESULTS

Running models locally usually provides better performance and results, as only they can use advanced forms of LLM guidance.

New every month: Trustbit LLM benchmarks

The best language models for digital product development

On a monthly basis, we evaluate the performance of various LLM models for specific challenges in digital product development.
Categories such as document processing, CRM integration, marketing support or code generation are tested and evaluated.

Finally, our expert statement on the question:
Can applications with large language models replace humans?

Large Language models will never replace people. But they do make employees more productive and thus companies more profitable.

Would you also like to make your company more profitable with language models?

We look forward to hearing from you!