Andreas Grivas
@andreasgrv.bsky.social
Postdoc in ML/NLP at the University of Edinburgh.
Interested in Bottlenecks in Neural Networks; Unargmaxable Outputs.
https://grv.unargmaxable.ai/
Interested in Bottlenecks in Neural Networks; Unargmaxable Outputs.
https://grv.unargmaxable.ai/
📕 ⬇️ My thesis on 🚫unargmaxable outputs is online! Check it out if you want to learn more about how output layers constrain what neural networks can and cannot predict 👉 era.ed.ac.uk/handle/1842/...
January 10, 2025 at 5:14 PM
📕 ⬇️ My thesis on 🚫unargmaxable outputs is online! Check it out if you want to learn more about how output layers constrain what neural networks can and cannot predict 👉 era.ed.ac.uk/handle/1842/...
Have you tried solving [MASK] using GenAI?
January 7, 2025 at 12:18 AM
Have you tried solving [MASK] using GenAI?
Cover's result is beautiful and still applies widely to today's #ML models: e.g. LLMs cannot rank their vocabulary in all possible ways 📊
Putting aside enumeration, a visual way of thinking about which rankings are realisable is:
Putting aside enumeration, a visual way of thinking about which rankings are realisable is:
December 18, 2024 at 4:16 PM
Cover's result is beautiful and still applies widely to today's #ML models: e.g. LLMs cannot rank their vocabulary in all possible ways 📊
Putting aside enumeration, a visual way of thinking about which rankings are realisable is:
Putting aside enumeration, a visual way of thinking about which rankings are realisable is: