Running a language model with the same quality of ChatGPT within your own company requires expensive hardware.
But don’t worry, there is an optimization: Quantization can drastically reduce the hardware requirements of LLMs (up to 80%). In this post, I’ll explain how it works.
Using cloud services like Microsoft Azure often raises questions about data protection, especially when it comes to processing sensitive data within the EU. Here’s an important detail you should be aware of: Even if you…
As you integrate AI systems into critical business processes, they become a stronger target for cyberattacks. Attackers continuously develop new methods to exploit vulnerabilities in AI models, making the security of these systems a challenge.…
Read this article BEFORE you pitch Pinecone, Qdrant, Weaviate, LanceDB,… to your boss. For this article, I assume you know what a vector database/index is. If not, please check out this article explainer article by…