Blog

In unserem Blog teilen wir unser Fachwissen, diskutieren innovative Ideen und geben Einblicke in unser Unternehmen. Die Artikel erscheinen in der jeweiligen Originalsprache.

Reasons to train your own LLM

Technology

Reasons to train your own LLM

by Özgür Demir

Most companies use publicly available APIs to incorporate LLMs into their own products. While this is not a bad approach, especially if you're just starting with LLMs, it also has some drawbacks.

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Every company needs a modern data architecture

Technology

Every company needs a modern data architecture

by Özgür Demir

In this video I'll briefly describe on a high level why every company needs a modern data architecture by looking at some industry specific examples.

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Can you afford to train AI models?

Technology

Can you afford to train AI models?

by Özgür Demir

Training a large language model as massive as Llama 2 70B takes approximately 1,720,320 GPU hours which translates to around 2.5 million Euros.

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The Backbone of Custom AI Models: Solid Data Architectures

Technology

The Backbone of Custom AI Models: Solid Data Architectures

by Özgür Demir

AI models perform best when trained on problem specific data sets. Data architectures on the other hand allow to ingest, store and process data on a large scale. Thus, without a solid data architecture it is almost impossible to train custom AI models.

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How to start Data & AI Projects: Prioritize product over technology

Process & Projects

How to start Data & AI Projects: Prioritize product over technology

by Özgür Demir

The 1st step when starting a new software project should involve understanding the bigger picture of why a certain digital product needs to be built.

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How to structure Terraform code

Technology

How to structure Terraform code

by Özgür Demir

Terraform itself does not specify a specific folder structure. Many engineers are thus confused on how to structure their terraform code.

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