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