Self taught machine learning engineer interested in mathematical and physical systems.
Based on 3 scored articles
Referenced in coverage
“Researcher who developed PorTAL, a method for portable task adapters that transfers fine-tuning across different LLM base models.”
“Ben Geist co-authored the Ramp Sheets case study on Fast Ask, an RL-trained specialized agent for spreadsheet retrieval.”
“Authored research on Latent Briefing, an approach to solving token inefficiency in multi-agent systems using KV cache compaction.”