Everyone who works in software development knows this: naming things is hard. And when you need to create a lot of resources in Azure, naming things there can even be harder. If you recognize this struggle, I have some good news for you. With the help of the Azure Naming Tool, applying a good and consistent naming strategy becomes a lot easier. Why naming conventions matter Consistency and Clarity : Consistent naming conventions provide clarity, making it easier for team members to understand the purpose and function of each resource. This reduces confusion and enhances productivity. Simplified Management : A structured naming convention simplifies resource management by grouping related resources together and enabling straightforward identification. This is particularly useful in large-scale environments where numerous resources are deployed. Enhanced Security and Compliance : Proper naming conventions can help ensure compliance with security policies and regulatory requi...
The introduction of the DeepSeek R1 model has sent shockwaves through the AI industry, challenging established norms and redefining the economics of AI development. This model has demonstrated that we can train AI models more cost-effectively and in an environmentally friendly manner, without sacrificing performance. By leveraging innovative techniques, DeepSeek has shown that it's possible to achieve remarkable results without the exorbitant costs and environmental impact typically associated with AI training. I think this is good news for all of us. As a big believer in the advantages that LLMs has to offer, I always feel somewhat uncomfortable knowing the environmental impact that these models have both during training and execution. DeepSeek has shown us that a different path is possible, providing a better balance between productivity and (environmental) cost. My hope is that other AI players will now re-evaluate on how to move forward and start applying the same techniques ...