Practical AI: Machine Learning, Data Science
Technology:Software How-To
While everyone is super hyped about generative AI, computer vision researchers have been working in the background on significant advancements in deep learning architectures. YOLOv9 was just released with some noteworthy advancements relevant to parameter efficient models. In this episode, Chris and Daniel dig into the details and also discuss advancements in parameter efficient LLMs, such as Microsofts 1-Bit LLMs and Qualcomm’s new AI Hub.
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Show Notes:
YOLOv9:
Parameter efficient LLMs:
Something missing or broken? PRs welcome!
Building a deep learning workstation
Killer developer tools for machine learning
Reinforcement Learning for search
When data leakage turns into a flood of trouble
Productionizing AI at LinkedIn
R, Data Science, & Computational Biology
Learning about (Deep) Learning
When AI goes wrong
Speech tech and Common Voice at Mozilla
Getting Waymo into autonomous driving
Hidden Door and so much more
Building the world's most popular data science platform
Practical AI turns 100!!! 🎉
Attack of the C̶l̶o̶n̶e̶s̶ Text!
🤗 All things transformers with Hugging Face
MLOps and tracking experiments with Allegro AI
Practical AI Ethics
The ins and outs of open source for AI
Operationalizing ML/AI with MemSQL
Roles to play in the AI dev workflow
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