Practical AI: Machine Learning, Data Science
Technology
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!
The long road to AGI
Explaining AI explainability
Exploring NVIDIA's Ampere & the A100 GPU
AI for Good: clean water access in Africa
Ask us anything (about AI)
Reinforcement learning for chip design
Exploring the COVID-19 Open Research Dataset
Achieving provably beneficial, human-compatible AI
COVID-19 Q&A and CORD-19
Mapping the intersection of AI and GIS
Welcome to Practical AI
Speech recognition to say it just right
Building a career in Data Science
What exactly is "data science" these days?
TensorFlow in the cloud
NLP for the world's 7000+ languages
Real-time conversational insights from phone call data
AI-powered scientific exploration and discovery
Insights from the AI Index 2019 Annual Report
Testing ML systems
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