Building AI assistants for businesses

Are you interested in the topic of artificial intelligence, but don't yet know exactly how you can use it for your company? Then you've come to the right place!

Here you will find everything you need to know about AI for companies: We provide orientation in the AI jungle to hopefully get you excited about this topic too.

IMMERSE YOURSELF IN THE WORLD OF LARGE LANGUAGE MODELS

The 101 of AI language models and their benefits for companies

We explain the basics of so-called large language models and explain how they can be used in companies.

How we build better AI systems with knowledge maps

Many companies are currently trying to improve their knowledge management with the help of RAG systems (Retrieval Augmented Generation).

However, this AI technology often ultimately fails on its own merits: This is because it attempts to overcome professional challenges using only technological means.

The good news is that we have found a solution! You can find out what it looks like and how it works here:

Development of AI assistants

We shed light on how to successfully develop and use AI assistants in companies from various perspectives.

Part 1:

3 assumptions that often cause AI assistant teams to fail

Part 2:

How we ensure that AI assistants are a success

AI & DDD Glossary

Terms from the world of artificial intelligence and domain-driven design clearly explained.

What is a "large language model" actually for, what does it mean to execute one "locally" and what is a domain expert? And why do we need them to build good AI assistants?

We have summarized all this for you in our AI & DDG Glossary!

New every month: Trustbit LLM benchmarks

The best language models for digital product development

We evaluate the performance of various LLM models for specific challenges in digital product development on a monthly basis.

We analyze categories such as document processing, CRM integration, external integration, marketing support and code generation to identify the most suitable model for each task.