Eine Einführung in die Python-Programmierung, in Machine Learning-Konzepte und in die Verwendung von Red Hat OpenShift AI zum Trainieren von ML-Modellen. Python ist eine beliebte Programmiersprache, die von Systemadmins, Data Scientists und Entwicklungsteams verwendet wird, um Anwendungen...
Solid foundation in Python Familiarity with data manipulation techniques Strong desire to learn new knowledge. Description: Welcome to Python: Creating Advanced AI Applications a dynamic course tailored for aspiring AI enthusiasts like you. In just 90 minutes, this course will immerse you...
Richmond Alake, Staff Developer Advocate for AI and ML at MongoDB, teaches you how to put the concepts you learned yesterday into practice. You'll build an AI agent from scratch and test its capabilities.
Import a meta model to create an AI application.The execution code and model must be uploaded to OBS first. By default, the model generated by a training job is stored in
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With advanced AI image generation tools, I can create unique professional AI arts for you. I deliver high-quality results with a focus on your satisfaction and friendly service, following your instructions to bring your ideas to life. My services: ...
ISVs can adopt this low-code approach in Azure’s AI Services to bring copilot-like experiences to their own applications. It offers a fast path to apply GPT’s function calling to call your own APIs simply by describing your function's structure in JSON and providing a sandboxed python ...
python3 telegram_bot.py Your bot is now up and running! Start a chat with your Telegram bot and see it in action. Conclusion Congratulations! You've just built your own chatbot using Python, Telegram, and OpenAI GPT models. Now you can enjoy the power of AI through a personalized, engag...
Video 1. Create and deploy a custom AI model with NVIDIA TAO Toolkit on Azure Machine Learning The overall workflow comprises three main steps: Install the NGC Azure ML Quick Launch Toolkit Train and optimize a pretrained object detection model ...
Now let’s introduce a new term: multimodal AI. In the simplest of terms, generative AI models can create content in one of four formats: