Name: [April] "Lessons learned" demos
Start: 2024-04-30T12:00:00-07:00
End: 2024-04-30T13:00:00-07:00

We have 5 wonderful speakers to share their lessons from building cool products!

1. Eugene Yan, senior data scientist at Amazon: lessons on building a copilot for Obsidian [https://github.com/eugeneyan/obsidian-copilot](https://github.com/eugeneyan/obsidian-copilot)
2. Denys Linkov, head of ML at Voiceflow: lessons on building a hybrid system (hybrid + LLM) for intent classification [https://www.voiceflow.com/blog/benchmarking-hybrid-llm-classification-systems](https://www.voiceflow.com/blog/benchmarking-hybrid-llm-classification-systems)
3. Akshay Agrawal, co-founder of Marimo and developer/maintainer of CVXPY (>700K monthly downloads): lessons on building a reproducible notebook for AI/ML [https://github.com/marimo-team/marimo](https://github.com/marimo-team/marimo)
4. Daniel Bourke, co-founder of Nutrify, creator of zerotomastery.io and the popular YouTube channel under his name (>170K subs): lessons learned replicating Tesla's data flywheel for food images [https://nutrify.app/launch](https://nutrify.app/launch)
5. Sallami Yoan, co-founder of SynaLinks: lessons from programming agents using graphs [https://github.com/SynaLinks/HybridAGI](https://github.com/SynaLinks/HybridAGI)

The problems they solve are important, and we’re impressed by their approaches. Fun fact: Akshay, Daniel, and Sallami are all bootstrap founders. It’s really cool how far they’ve been able to take their products!

Watch live on YouTube: [https://www.youtube.com/watch?v=3e9YAdOpihI&ab_channel=MLOpsLearners](https://www.youtube.com/watch?v=3e9YAdOpihI&ab_channel=MLOpsLearners)

Chip Huyen

ML Meetups Virtual

Technology

Data Visualization

Data Mining

Data Science

Data Science using Python

Artificial Intelligence

Machine Learning

Predictive Analytics

Data Analytics

[April] "Lessons learned" demos

Online event

Share

ML Meetups Virtual

[April] "Lessons learned" demos

ML Meetups Virtual

Details

Members are also interested in