AI Copilots with RAG

​This event is for WOMEN only.

​Curious about AI Copilots and how they boost productivity? Join our workshop to learn how Retrieval Augmented Generation (RAG) enhances the capabilities of AI Copilots, making Large Language Models (LLMs) more reliable and effective for specialized tasks.

​We'll cover the basics of RAG, including how it prevents hallucinations by integrating external information, and explore practical workflows to manage accuracy, tone, and more. Plus, get hands-on insights into Gooey.AI, seeing these concepts applied in real-world scenarios.

​RAG empowers AI Copilots to access and integrate specific information, making them far more accurate than traditional LLMs. This ensures AI Copilots can effectively support tasks like drafting content, improving decision-making, and providing specialized knowledge, even for non-technical users.

​By understanding these tools, you can:

• ​Enhance productivity through better decision-making.

• ​Gain a competitive edge by leveraging AI tools to reduce workload.

• ​Easily integrate AI Copilots into workflows for tailored, accurate results.

​Who Should Attend?

• ​Business heads, product managers, and technical leads wanting to stay ahead in generative AI.

• ​Non-technical professionals looking to use AI for decision-making and accessing specialized information without needing deep technical expertise.

​Speaker

​Ambika (Computational Mama) is an AI prompt crafter, creative technologist, and Head of Developer Relations at GOOEY.AI. She specializes in applied generative AI, focusing on LLMs and creative coding since 2019. Ambika has taught over 200 students and conducted 40+ workshops on Stable Diffusion, chatGPT, and generative AI tools. Her moniker 'Computational Mama' has built a niche community of makers and coders on Instagram.