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56,966 blogs · [ { "id": "01a08c58-7af7-7129-807b-eb1e9230e76b", "title": "Explaining some llm-d benchmarking data", "url": "http://treeinrandomforest.github.io/jekyll/update/2025/11/10/llmdbenchmark.html", "published_at": "2025-11-10T00:00:00+00:00" }, { "id": "01a08c58-7af7-7129-807b-eb1e927f73b1", "title": "Back-of-the-envelope comparison of expert parallelism in llm-d", "url": "http://treeinrandomforest.github.io/jekyll/update/2025/11/04/llmd.html", "published_at": "2025-11-04T00:00:00+00:00" }, { "id": "01a08c58-7af7-7129-807b-eb1e92b90657", "title": "Symmetric Matrix Block Inverse", "url": "http://treeinrandomforest.github.io/jekyll/update/2021/06/22/useful-identity.html", "published_at": "2021-06-22T00:00:00+00:00" }, { "id": "01a08c58-7af7-7129-807b-eb1e93876ba5", "title": "Some Notes on dragonfly (bayesian optimization)", "url": "http://treeinrandomforest.github.io/jekyll/update/2021/03/20/dragonflydocs.html", "published_at": "2021-03-20T00:00:00+00:00" }, { "id": "01a08c58-7af7-7129-807b-eb1e94410b60", "title": "Organizations and Groups Using Data/ML for Conservation", "url": "http://treeinrandomforest.github.io/jekyll/update/2021/03/20/conservation.html", "published_at": "2021-03-20T00:00:00+00:00" }, { "id": "01a08c58-7af7-7129-807b-eb1e9452683e", "title": "Using Toy Examples to Understand Simple Neural Networks", "url": "http://treeinrandomforest.github.io/jekyll/update/2020/09/17/nn-toy-examples.html", "published_at": "2020-09-17T00:00:00+00:00" }, { "id": "01a08c58-7af7-7129-807b-eb1e954c5438", "title": "An Interesting Integral", "url": "http://treeinrandomforest.github.io/jekyll/update/2019/10/29/interesting-integral.html", "published_at": "2019-10-29T17:50:49+00:00" }, { "id": "01a08c58-7af7-7129-807b-eb1e95b15f38", "title": "A Detailed Look at Backpropagation in Feedforward Neural Networks", "url": "http://treeinrandomforest.github.io/deep-learning/2018/10/30/backpropagation.html", "published_at": "2018-10-30T00:00:00+00:00" }, { "id": "01a08c58-7af7-7129-807b-eb1e965f7479", "title": "A Physicist's Proof of the Central Limit Theorem", "url": "http://treeinrandomforest.github.io/jekyll/update/2018/06/18/central-limit-theory.html", "published_at": "2018-06-18T20:59:43+00:00" } ] posts
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treeinrandomforest.github.io
2025
Explaining some llm-d benchmarking data
original ↗
10 Nov 2025
Back-of-the-envelope comparison of expert parallelism in llm-d
original ↗
4 Nov 2025
2021
Symmetric Matrix Block Inverse
original ↗
22 Jun 2021
Some Notes on dragonfly (bayesian optimization)
original ↗
20 Mar 2021
Organizations and Groups Using Data/ML for Conservation
original ↗
20 Mar 2021
2020
Using Toy Examples to Understand Simple Neural Networks
original ↗
17 Sept 2020
2019
An Interesting Integral
original ↗
29 Oct 2019
2018
A Detailed Look at Backpropagation in Feedforward Neural Networks
original ↗
30 Oct 2018
A Physicist's Proof of the Central Limit Theorem
original ↗
18 Jun 2018