AI models are powerful tools, and in order to use them securely, you need to control them using an API. I'm going to teach ...

I'm sure ML.NET can be a great starting point in .NET developers' machine learning journey. It's great as both learning tool and production ready tool. In the end everyone will decide for themselves ...

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

Build ML models on your PC. A modern developer workstation has more than enough power for basic ML workloads. The machine I’m typing this on fits the bill: It has an 11th-generation Intel ...

But if you want to fully control the large language model experience, the best way is to integrate Python and Hugging Face APIs together. How to run Llama in a Python app. To run any large language ...

Even in TensorFlow 1.12, the official Get Started with TensorFlow tutorial uses the high-level Keras API embedded in TensorFlow, tf.keras.By contrast, the TensorFlow Core API requires working with ...

Breaking Into Statistical Programming: The Evolving Role Of SAS, R, Python, AI And ML. ... handling large datasets and integrating AI and ML models into clinical research.

In this session we'll talk about the specifics of ML.NET, its applications and see how Auto ML can be a good starting point," said the sought-after public speaker. She promises attendees will learn: ...