In the rapidly evolving field of AI, the distinction between foundation models and task models is critical for understanding how modern AI systems work. Foundation models, like GPT-4 or BERT, provide…
Let’s deep dive into pretraining and fine-tuning today!
An embedding is the “translator” that converts language into numbers, enabling AI models to understand and process human language. AI doesn’t comprehend words, sentences, or syntax—it only works with…
Prompt Engineering is a core technique in the field of generative AI. Simply put, it involves crafting effective input prompts to guide AI in producing the desired results.
In deep learning, parameters are the trainable components of a model, such as weights and biases, which determine how the model responds to input data. These parameters adjust during training to…
So, I did a thing. I earned my first Microsoft certificate: Azure AI Engineer Associate! 🎉
Are you ready to delve into the exciting realm of Azure AI?
I finished the course!