Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!
Title | Date published | ||
Accidentally building SOTA AI | 2023-06-06 | ||
Controlled and compliant AI applications | 2023-05-31 | ||
Data augmentation with LlamaIndex | 2023-05-23 | ||
Creating instruction tuned models | 2023-05-16 | ||
The last mile of AI app development | 2023-05-11 | ||
Large models on CPUs | 2023-05-02 | ||
Causal inference | 2023-04-25 | ||
Capabilities of LLMs 🤯 | 2023-04-19 | ||
Computer scientists as rogue art historians | 2023-04-12 | ||
Accelerated data science with a Kaggle grandmaster | 2023-04-04 | ||
Explainable AI that is accessible for all humans | 2023-03-28 | ||
AI search at You.com | 2023-03-15 | ||
End-to-end cloud compute for AI/ML | 2023-03-07 | ||
Success (and failure) in prompting | 2023-02-28 | ||
Applied NLP solutions & AI education | 2023-02-22 | ||
Serverless GPUs | 2023-02-14 | ||
MLOps is alive and well | 2023-02-07 | ||
3D assets & simulation at NVIDIA | 2023-01-31 | ||
GPU dev environments that just work | 2023-01-24 | ||
Machine learning at small organizations | 2023-01-17 |