Driving Mercedes-Benz digital future

Our mission

To ignite and build the digital solutions of Mercedes-Benz by forming a tribe of digital enthusiasts that drive Mercedes-Benz digital future.

Meet our tribe

#Welcome

#Welcome

Be
rl
in
#JustDoIt

#JustDoIt

Li
sb
on
#ProblemSolving

#ProblemSolving

Stu
ttg
art
#Volunteering

#Volunteering

Br
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Our locations

Our first home and headquarters

Our first home and headquarters

Stuttgart, home to our headquarters and to the German car industry. Hills, valleys, forests, parks, and vineyards are easy to find within its boundaries.

Our office is located close to the new Mercedes Benz Campus in Stuttgart Vaihingen. It offers several green spots to sit outside and the nearby canteen serves delicious Swabian and international cuisine.

Industriestraße 19-21, 70565 Stuttgart, Germany

Github Copilot, will It blend?

Github Copilot, will It blend?

Pedro Reis · May 15, 2024

I was recently given the chance to assess how Gen AI tools could improve our developer experience at Mercedes-Benz.io, and as if that was not enough, I was later challenged to share my thoughts and experience with you, dear reader.

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MB.ioneering: connecting ambassadors to the future of tech

MB.ioneering: connecting ambassadors to the future of tech

Patrícia Fernandes · April 29, 2024

Between April 15th and 19th, 2024, our tribe was present at SINFO - the biggest free tech event in Portugal.

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Unveiling the Evolution of Generative AI - Part 2

Unveiling the Evolution of Generative AI - Part 2

Gonçalo Marques, Tiago Santos · March 27, 2024

In the first part of this article, we went through the definition and history of Generative AI through the ages. In this second and final part, we will develop on the many tools and possibilities Generative AI has allowed us, while also looking into its impact on society.

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The Psychological Impact of Code Consistency

The Psychological Impact of Code Consistency

Bernardo Oliveira · March 26, 2024

Across the life journey, some aspects of life become more relevant than others, they make us even more unique in our uniqueness. Our professional life is merely a reflection of it.

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Retrieval Augmented Generation: Enhancing Language Models with Contextual Knowledge

Retrieval Augmented Generation: Enhancing Language Models with Contextual Knowledge

Daniel Thielsch · March 22, 2024

In the ever-evolving landscape of natural language processing (NLP) and artificial intelligence, one concept has recently emerged as a promising approach to enhance the capabilities of large language models (LLMs): Retrieval Augmented Generation (RAG). This innovative technique combines the power of LLMs with the contextual knowledge derived from preexisting data sources, enabling more informed and accurate responses to user queries.

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