In this Episode of ODSC’s Ai X Podcast, we speak with Paige Bailey, the engineering lead for GenAI Developer Experience at Google, about Google’s AI-powered tools for data scientists. 

Paige has a deep understanding of the generative AI landscape, having previously served as an applied machine learning engineer at Microsoft and GitHub, and a product lead for Google's PaLM v2 and Gemini models. She is also passionate about making cutting-edge AI technology accessible, and empowering developers to build the next generation of innovative applications.

If you enjoy this episode, you can hear from Paige in person at ODSC West 2024 in South San Francisco, where she will be giving the talk, “Data Science in the Age of Generative AI”. Learn more here: https://odsc.com/speakers/data-science-in-the-age-of-generative-ai/

Show Topics:

- Guest background and key career moments

- The evolution of data science as a field

- The history, evolution, and current state of Google Colab

- AI code assistants and how Google Colab's AI compares to other coding systems

- The importance of data visualization

- Overview of Gemini 1.5 Pro and 1.5 Flash capabilities 

- Dense models vs. Mixture of Experts (MoE) models

- Google's open-source family of dense models and their capabilities

- Overview of Retrieval Augmented Generation (RAG)

- The challenges and considerations of fine-tuning open-source models

- Google AI Studio for LLMS, code execution, function calling, and fine-tuning

- Google’s new data science agent

Show Notes: 

- ODSC West 2024 Talk, “Data Science in the Age of Generative AI”: https://odsc.com/speakers/data-science-in-the-age-of-generative-ai/

- Paige’s LinkedIn: ⁠https://www.linkedin.com/in/dynamicwebpaige/⁠

- Paige’s webpage: ⁠http://webpaige.dev⁠

- Paige's X:⁠@dynamicwebpaige⁠

- Google Colab: https://colab.research.google.com/

- Colab AI Coding Features: 

⁠https://blog.google/technology/developers/google-colab-ai-coding-features/⁠

- Gemma Open Models: https://ai.google.dev/gemma

- Gemini 1.5 Flash: ⁠https://deepmind.google/technologies/gemini/flash/⁠

- Gemini 1.5 Pro: ⁠https://deepmind.google/technologies/gemini/pro/⁠

- Mixture of Experts (MOE): https://huggingface.co/blog/moe

- Dense Neural Network: ⁠https://paperswithcode.com/method/dense-connections⁠

- Google AI Studio: ⁠https://aistudio.google.com/⁠

- Google AI Studio X: @googleaistudio

- Google Data Science Agent: ⁠https://labs.google.com/code/dsa⁠

- Retrieval-augmented generation: https://cloud.google.com/use-cases/retrieval-augmented-generation?hl=en

- RAG Evaluation: ⁠https://huggingface.co/learn/cookbook/en/rag_evaluation⁠

- Anna Goldie’s ODSC’s Ai X Podcast Episode #41–“Deep Reinforcement Learning in the Real World”: https://podcasts.apple.com/us/podcast/deep-reinforcement-learning-in-the-real-world-with/id1721516836?i=1000650492206

This episode was sponsored by:  

Ai+ Training⁠ ⁠https://aiplus.training/⁠⁠ 

Home to 600+ hours of on-demand, self-paced AI training, live virtual training, and certifications in in-demand skills like LLMs and prompt engineering.

And created in partnership with ODSC⁠ ⁠https://odsc.com/⁠⁠ 

The Leading AI Training Conference, featuring expert-led, hands-on workshops, training sessions, and talks on cutting-edge AI topics and tools, from data science and machine learning to generative AI to LLMOps

Join us at our upcoming and highly anticipated conference ODSC West in South San Francisco October 29-31.