Effective AI implementation relies not only on the quantity of data but also on technical expertise. Let's explore the significance of having a skilled data team for AI projects, learn about the Small Data movement and examine how far we can go with no-code or low-code AI platforms.
Explore the potential of Large Language Models (LLMs) changing the future of mental healthcare and learn about how to apply Parameter-Efficient Fine-Tuning (PEFT) to create an AI-powered mental health support chatbot by example
Discover the basics of using Gemini with Python via VertexAI, creating a Web UI with NiceGUI and using Jinja2 to construct modular prompts
Discover the basics of using Gemini with Python via VertexAI, creating APIs with FastAPI, data validation with Pydantic and the fundamentals of Retrieval-Augmented Generation (RAG)
