corpus.blog
41554 blogs · [ { "id": "01a087a7-9d8a-73ee-948b-72298405fe27", "title": "Post-Training 101: From Base Model to Assistant", "url": "https://www.mlwhiz.com/p/post-training-101-from-base-model", "published_at": "2026-07-07T22:48:10+00:00" }, { "id": "01a087a7-9d8b-73f1-a528-fc43f95c4778", "title": "Pretraining 101: Data, Scale, and the Loss Function", "url": "https://www.mlwhiz.com/p/pretraining-101-data-scale-and-the", "published_at": "2026-06-26T20:55:02+00:00" }, { "id": "01a087a7-9d8b-73f1-a528-fc43f97dffbd", "title": "MLWhiz Weekly Recsys/ML/GenAI Newsletter # 11 - The week US government pulled a frontier model offline on a letter", "url": "https://www.mlwhiz.com/p/mlwhiz-weekly-recsysmlgenai-newsletter-133", "published_at": "2026-06-17T21:07:04+00:00" }, { "id": "01a087a7-9d8b-73f1-a528-fc43f98f14e0", "title": "What is an LLM? Tokens, Embeddings, and the Big Picture", "url": "https://www.mlwhiz.com/p/what-is-an-llm-tokens-embeddings", "published_at": "2026-06-14T01:16:43+00:00" }, { "id": "01a087a7-9d8b-73f1-a528-fc43fa2deec9", "title": "MLWhiz Weekly Recsys/ML/GenAI Newsletter # 10 - The week AI infrastructure crossed from a technology story to a financial one", "url": "https://www.mlwhiz.com/p/mlwhiz-weekly-recsysmlgenai-newsletter-ed3", "published_at": "2026-06-10T23:56:34+00:00" }, { "id": "01a087a7-9d8b-73f1-a528-fc43fa3a0036", "title": "The Transformer, Demystified — Let's Actually Build One", "url": "https://www.mlwhiz.com/p/the-transformer-demystified-lets", "published_at": "2026-06-05T22:47:17+00:00" }, { "id": "01a087a7-9d8b-73f1-a528-fc43fa3ee293", "title": "MLWhiz Weekly Recsys/ML/GenAI Newsletter # 9 - The week AI started its IPOs", "url": "https://www.mlwhiz.com/p/mlwhiz-weekly-recsysmlgenai-newsletter-204", "published_at": "2026-06-02T23:30:44+00:00" }, { "id": "01a087a7-9d8b-73f1-a528-fc43fb0967af", "title": "Understanding Transformers, the MLE Way", "url": "https://www.mlwhiz.com/p/transformers", "published_at": "2026-05-29T23:02:21+00:00" }, { "id": "01a087a7-9d8b-73f1-a528-fc43fbd15069", "title": "HSTU From Scratch in PyTorch - A complete Walkthrough", "url": "https://www.mlwhiz.com/p/hstu-from-scratch-in-pytorch-a-complete", "published_at": "2026-05-28T02:11:53+00:00" }, { "id": "01a087a7-9d8b-73f1-a528-fc43fc120c69", "title": "MLWhiz Weekly Recsys/ML/GenAI Newsletter # 8 - The week of Google I/O 2026", "url": "https://www.mlwhiz.com/p/mlwhiz-weekly-recsysmlgenai-newsletter-3da", "published_at": "2026-05-26T21:01:25+00:00" }, { "id": "01a087a7-9d8b-73f1-a528-fc43fc94941c", "title": "MLWhiz Weekly Recsys/ML/GenAI Newsletter # 7 - The week Karpathy Joined Anthropic", "url": "https://www.mlwhiz.com/p/mlwhiz-weekly-recsysmlgenai-newsletter-0e1", "published_at": "2026-05-19T22:40:02+00:00" }, { "id": "01a087a7-9d8b-73f1-a528-fc43fcb2d614", "title": "HSTU: How Meta Built a Trillion-Parameter Recommender That Actually Scales", "url": "https://www.mlwhiz.com/p/hstu-how-meta-built-a-trillion-parameter", "published_at": "2026-05-18T22:19:45+00:00" }, { "id": "01a087a7-9d8b-73f1-a528-fc43fce0b01d", "title": "MLWhiz Weekly Recsys/ML/GenAI Newsletter # 6", "url": "https://www.mlwhiz.com/p/mlwhiz-weekly-recsysmlgenai-newsletter", "published_at": "2026-05-15T00:28:47+00:00" }, { "id": "01a087a7-9d8b-73f1-a528-fc43fcf7ffb0", "title": "From Random IDs to Semantic IDs: Building a Generative Recommender from Scratch", "url": "https://www.mlwhiz.com/p/semantic-ids-rqvae-generative-recommender", "published_at": "2026-05-09T01:29:54+00:00" }, { "id": "01a087a7-9d8b-73f1-a528-fc43fd4b11eb", "title": "MLWhiz Weekly AI/ML/Recsys Newsletter # 5", "url": "https://www.mlwhiz.com/p/mlwhiz-weekly-aimlrecsys-newsletter", "published_at": "2026-05-06T23:12:59+00:00" }, { "id": "01a087a7-9d8b-73f1-a528-fc43fde486b9", "title": "Claude Code vs. Your ML Career: A 2026 Reality Check", "url": "https://www.mlwhiz.com/p/will-claude-code-take-your-ml-job", "published_at": "2026-04-28T22:18:23+00:00" }, { "id": "01a087a7-9d8b-73f1-a528-fc43fe56e254", "title": "The Most Complete Guide to PyTorch for Data Scientists", "url": "https://www.mlwhiz.com/p/pytorch_guide", "published_at": "2026-04-27T00:00:00+00:00" }, { "id": "01a087a7-9d8b-73f1-a528-fc43feae4385", "title": "I Use Claude Code Every Day. Here's the Setup That Actually Matters", "url": "https://www.mlwhiz.com/p/i-use-claude-code-every-day-heres", "published_at": "2026-04-23T02:06:45+00:00" }, { "id": "01a087a7-9d8b-73f1-a528-fc43feaf8b2a", "title": "MLWhiz Weekly AI/ML Newsletter # 4", "url": "https://www.mlwhiz.com/p/mlwhiz-weekly-aiml-newsletter-4", "published_at": "2026-04-21T22:02:50+00:00" }, { "id": "01a087a7-9d8b-73f1-a528-fc43fec6e3dc", "title": "From RNNs to Transformers: Building Sequential Recommenders (Part 1)", "url": "https://www.mlwhiz.com/p/rnns-to-transformers-sequential-recommenders", "published_at": "2026-04-18T10:56:33+00:00" } ] posts Claim your blog
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MLWhiz: Recs|ML|GenAI | Rahul Agarwal | Substack

mlwhiz.com

2026

Post-Training 101: From Base Model to Assistantoriginal ↗
7 Jul 2026
Pretraining 101: Data, Scale, and the Loss Functionoriginal ↗
26 Jun 2026
MLWhiz Weekly Recsys/ML/GenAI Newsletter # 11 - The week US government pulled a frontier model offline on a letteroriginal ↗
17 Jun 2026
What is an LLM? Tokens, Embeddings, and the Big Pictureoriginal ↗
14 Jun 2026
MLWhiz Weekly Recsys/ML/GenAI Newsletter # 10 - The week AI infrastructure crossed from a technology story to a financial oneoriginal ↗
10 Jun 2026
The Transformer, Demystified — Let's Actually Build Oneoriginal ↗
5 Jun 2026
MLWhiz Weekly Recsys/ML/GenAI Newsletter # 9 - The week AI started its IPOsoriginal ↗
2 Jun 2026
Understanding Transformers, the MLE Wayoriginal ↗
29 May 2026
HSTU From Scratch in PyTorch - A complete Walkthroughoriginal ↗
28 May 2026
MLWhiz Weekly Recsys/ML/GenAI Newsletter # 8 - The week of Google I/O 2026original ↗
26 May 2026
MLWhiz Weekly Recsys/ML/GenAI Newsletter # 7 - The week Karpathy Joined Anthropicoriginal ↗
19 May 2026
HSTU: How Meta Built a Trillion-Parameter Recommender That Actually Scalesoriginal ↗
18 May 2026
MLWhiz Weekly Recsys/ML/GenAI Newsletter # 6original ↗
15 May 2026
From Random IDs to Semantic IDs: Building a Generative Recommender from Scratchoriginal ↗
9 May 2026
MLWhiz Weekly AI/ML/Recsys Newsletter # 5original ↗
6 May 2026
Claude Code vs. Your ML Career: A 2026 Reality Checkoriginal ↗
28 Apr 2026
The Most Complete Guide to PyTorch for Data Scientistsoriginal ↗
27 Apr 2026
I Use Claude Code Every Day. Here's the Setup That Actually Mattersoriginal ↗
23 Apr 2026
MLWhiz Weekly AI/ML Newsletter # 4original ↗
21 Apr 2026
From RNNs to Transformers: Building Sequential Recommenders (Part 1)original ↗
18 Apr 2026