Aidan Gomez
AI Founder
Verified Proof of Work Artifacts
2 items catalogedEach artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Aidan Gomez. Every entry undergoes editorial source verification.
Attention Is All You Need: The Seminal Transformer Architecture Paper
Co-authored the groundbreaking NeurIPS 2017 research paper introducing the Transformer, an architecture dispensing entirely with recurrence and convolutions in favor of multi-head self-attention mechanisms, founding modern LLM technology.
Original architecture scaled quadratically O(N^2) with sequence length, prompting subsequent research into grouped-query attention, sparse attention, and linear recurrence hybrids.
Cohere Command R+ Enterprise Agentic Retrieval & Tool Calling Engine
Directed the development of Command R+, an open-weights 104B parameter model optimized specifically for multi-step agentic workflows, multi-lingual enterprise Retrieval-Augmented Generation (RAG), and cited tool calling across complex relational schemas.
Heavy memory footprint requiring 4x NVIDIA A100 (80GB) or quantized 8-bit / 4-bit deployments in production environments.