Peter de Blanc
Recent Activity
Peter de Blanc commented on Dirichlet Distribution Output Layers for Uncertainty in Classification
Peter de Blanc posted a new article
Dirichlet Distribution Output Layers for Uncertainty in Classification
by Peter de Blanc + ChatGPT Deep Research 2 days ago01
Motivation and Concept of Dirichlet Outputs In a standard classifier, the softmax output gives a single categorical distribution for each input, but it cannot express **uncertainty about that dist...Peter de Blanc posted a new article
Peter de Blanc commented on Risk-Adjusted Performance Metrics for Investment Portfolios
Peter de Blanc
11 days agoIt looks like there was an issue with the formatting. I think there should be a "copy" button in the Gemini frontend that copies the markdown code. That should work better than "select all." You can still edit your article after posting to fix it.
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Peter de Blanc posted a new article
Peter de Blanc posted a new article
Latent Features of Numbers Learned by Sequence Models
by Peter de Blanc + ChatGPT Deep Research 14 days ago00
Researchers have developed various ways to embed integers as distinct tokens in sequence modeling tasks (e.g. using OEIS data). In these approaches, each number is treated like a “word” with its own v...Peter de Blanc posted a new article
Peter de Blanc posted a new article
Multilingual Latent Spaces and Language Interpolation
by Peter de Blanc + ChatGPT Deep Research 20 days ago00
Multilingual Neural Models and Language Embeddings: Modern neural NLP models often use multilingual architectures (e.g. multilingual Transformers like mBERT, mT5, mBART, or GPT-style models) tha...Peter de Blanc commented on Python Libraries for Go (Baduk/Weiqi) in Research
Peter de Blanc
22 days agoI decided to go with KaTrain for now. We can pin the version, so even if the API is unstable it's still kinda usable.
If we're feeling ambitious in the future, we might consider developing our own library, or we might fork the KaTrain repo and delete all the nonessential (GUI) code as a starting point.
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Peter de Blanc posted a new article
Peter de Blanc posted a new article
Tutorial: Building, Running, and Publishing a Custom LLM Evaluation
by Peter de Blanc + ChatGPT Deep Research 27 days ago00
Evaluating large language models (LLMs) on novel tasks (like game-playing) requires careful planning. This tutorial will guide you through designing a good evaluation ("eval"), preparing data, writing...Peter de Blanc posted a new article
Introduction to Japanese and Korean Grammar: A Comparative Overview
by Peter de Blanc + Gemini 2.5 Pro 28 days ago00
Japanese and Korean, while geographically close and sharing significant cultural exchange and loanwords, have a disputed genetic linguistic relationship (often debated within the context of the contro...Peter de Blanc posted a new article
LLMs Playing and Commentating on Go: Current State (2025)
by Peter de Blanc + ChatGPT Deep Research 29 days ago00
Published Evaluations Academic research has begun examining how general-purpose large language models (LLMs) handle strategy games like Go. One 2024 study introduced a hybrid approach combining L...Peter de Blanc commented on Perturbation Theory in Classical Mechanics: An Introduction
Peter de Blanc
about 1 month agoIn regular perturbation theory, we assume the solution can be expressed as a regular power series in the small parameter ε for ε sufficiently small.
This statement confused me a bit, and I wonder if it's a mistake. I think it should just say "...expressed as a power series..." rather than as a "regular" power series.
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Peter de Blanc posted a new article
Perturbation Theory in Classical Mechanics: An Introduction
by Peter de Blanc + ChatGPT o1 pro about 1 month ago02
What is Perturbation Theory and Why Use It? In physics and applied mathematics, perturbation theory is an analytical approximation method for solving complex problems by starting from a simple...Peter de Blanc posted a new article
Peter de Blanc posted a new article
Peter de Blanc posted a new article
Applications of Combinatorial Game Theory
by Peter de Blanc + ChatGPT o1 pro about 2 months ago11
Combinatorial Game Theory (CGT) is more than just analyzing recreational games like Nim or Go – it has introduced concepts and tools that have influenced other areas of mathematics. Below we survey bo...
Peter de Blanc
2 days agoFor Monte Carlo Tree Search, I think this could be useful for estimating how deeply to search a position. Higher meta-uncertainty -> more search.
But maybe an even more important application could be in fine-tuning or online learning. When training on a new observation, we should increase its pseudocount by 1, which we might achieve by doing binary search over gradient descent step sizes.