Piotr Żelasko on OpenAI’s Whisper and other trends in speech recognition technologies.
Machine Learning Integrity
Yaron Singer on building tools to guard against and reduce model failures.
Synthetic data technologies can enable more capable and ethical AI
Yashar Behzadi on recent development in tools for building synthetic data for AI, gaming, and the metaverse.
Confidential Computing for Machine Learning
Sadegh Riazi on building tools for privacy-preserving machine learning and analytics based on secure multi-party computation.
Applied NLP Research at Primer
John Bohannon on translating machine learning research into products.
Using SQL to Retrieve Data from APIs and Web Services
Jon Udell on why data and AI teams should explore Steampipe.
Machine Learning for Time Series Intelligence
Aadyot Bhatnagar on building an end-to-end machine learning framework for time series data.
Unleashing the power of large language models
Maarten Grootendorst on applying large language models to topic models and fuzzy string matching.
Building production-ready machine learning pipelines
Hamza Tahir and Adam Probst on the state of MLOps and tools for productionizing machine learning pipelines.
Machine Learning at Gong
Omri Allouche on building and deploying NLP and speech models for a startup pegacorn.