For AI & ML Engineers: Which emerging AI model architecture do you believe will dominate the next 2-3 years? (e.g., Mixture-of-Experts, State-Space Models, Transformer Variants, etc.)
For new AI model development in 2026, which framework are you most excited to explore or adopt for its potential in terms of performance and ease of use?
How would you rate the current state of AI-powered code completion tools (like Copilot, CodeWhisperer) in terms of their usefulness for boosting your daily productivity?
For AI/ML Engineers: Given the rapid advancements in large language models, which approach do you believe will be more impactful in the next 2 years: fine-tuning existing large models or developing entirely new, smaller, specialized models?