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Latest posts
Notes on Variational Inference and Jensen’s Inequality
Spatial Competence Benchmark
List of open source contributions to Inspect AI
Preview: Visual Geometry Bench
What do we measure?
Hill climb on MBPP using verifiers
From scratch: SFT and GRPO on Qwen 2.5
Intuiting Policy Gradient methods
Recently, I found it imperative to grok Policy Gradient (PG) methods. As much as I enjoy entering rabbit holes of adjacent techniques, which are abundant in RL, I have refrained. The motivation is to think effectively about PG research in LLMs/foundational models.
LLM Agent ~ Reddit Consensus
Neural Network precision pitfalls in the wild
In my work, I draw on concepts from computational geometry and graphics, often demanding high-precision guarantees. A typical case is sampling an object’s implicit function to generate a parameterised form for downstream use.