hugo bowne-anderson
Hugo Bowne-Anderson is an independent data and AI consultant with extensive experience in the tech industry. He is the host of the industry Vanishing Gradients, where he explores cutting-edge developments in data science and artificial intelligence.
As a data scientist, educator, evangelist, content marketer, and strategist, Hugo has worked with leading companies in the field. His past roles include Head of Developer Relations at Outerbounds, a company committed to building infrastructure for machine learning applications, and positions at Coiled and DataCamp, where he focused on scaling data science and online education respectively.
Hugo's teaching experience spans from institutions like Yale University and Cold Spring Harbor Laboratory to conferences such as SciPy, PyCon, and ODSC. He has also worked with organizations like Data Carpentry to promote data literacy.
His impact on data science education is significant, having developed over 30 courses on the DataCamp platform that have reached more than 3 million learners worldwide. Hugo also created and hosted the popular weekly data industry podcast DataFramed for two years.
Committed to democratizing data skills and access to data science tools, Hugo advocates for open source software both for individuals and enterprises.
Sessions
Enter the wonderful world of generative AI models in our hands-on tutorial designed for Pythonista data scientists, research scientists, and machine learning professionals. You’ll gain insights into the latest AI technologies and build an interactive app that you can speak to, generating text, audio, music, images, and video. We’ll guide you through integrating models from platforms like Replicate and Hugging Face, as well as leading language models such as Bard, Claude, Mistral, and ChatGPT. By the end of the workshop, you’ll have practical experience creating a versatile AI application and a deeper understanding of how these technologies can be harnessed.
Requirements:
- GitHub account
- GitHub Codespaces enabled
- API keys for Groq or OpenAI, and Replicate (we will guide you through obtaining these during the tutorial)
- Basic Python and Bash knowledge
Materials will be distributed through a GitHub repository, including setup instructions and example code.