Weekly tutorials and news on adapting large language models (LLMs) to your tasks and hardware using the most recent techniques and models. The Kaitchup proposes a collection of 180+ AI notebooks regularly updated.
| Platform |  | Pricing | Freemium | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 468 | Founded | 3 years ago | Last Issue | 10 days ago |
| Active | |||||
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kaitchup.substack.comLatest Issues
Qwen3.8 27B, Nemotron 3.5, Muse, DeepSeek V4 Pro: A Huge Week for Open-Weight AI
Hi everyone,
This week was unusually rich in open-weight releases.
Meta released Muse Glimmer. Qwen finally released the weights of Qwen3.8 2.4T. NVIDIA released Nemotron 3.5 Lightning. DeepSeek just pushed a major V4 Pro update.
And,...
Laguna S 2.1: How Agent Harnesses and Inference Budgets Shape Coding Performance
Testing long-horizon coding performance on DeepSWE and Terminal-Bench 2.1
Coding benchmarks increasingly test more than whether a model can write a correct function. They ask an agent to explore an unfamiliar repository, run commands, edit...
Muse Glimmer: Meta’s 30B Model Built for Efficient Inference
Inside Meta’s 30B local reasoning model and its tiny KV cache
Meta is back, and it’s great.
Qwen3.8 Is Almost Here — and Agent Benchmarks Are More Fragile Than They Look
Hi everyone,
We have a countdown for the Qwen3.8 releases:
Next week is going to be a busy one.
Here’s my plan:
- Start my own evaluation of Qwen3.8 27B as soon as the model is released. This time, I’ll also cover agentic coding. I pl...
ThinkingCap-Qwen3.6-27B Review: 2x Fewer Tokens, Same Accuracy?
A faster, more stable Qwen3.6 for local AI inference
Qwen3.6 27B is one of the strongest models for local AI, but its extremely long reasoning traces can make inference painfully slow.
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Research scientist in NLP/AI.
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