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Intro
Generative AI isn’t new – so what’s changed?
How did we get to ChatGPT?
How are Large Language Models created?
How good can a LLM become?
Unexpected effects of scaling up LLMs
How can ChatGPT meet the needs of humans?
Chat GPT demo
Are Language Models always right or fair?
The impact of LLMs on society
Is AI going to kill us all?
Introduction and Background of Weights & Biases
Challenges in AI Development vs. Software Development
Enhancing Tracking and Reproducibility in ML Workflows
Expanding AI Across Industries and New Model Applications
Technical Enhancements and Customer Success Stories
Advanced Features for ML Engineers and Model Builders
Future Directions: Integrations and Tools for Software Developers