Understanding, using, and finetuning Gemma (lightning.ai)

Screenshot of lightning.ai: Understanding, using, and finetuning Gemma

First screen, captured 2 years ago.

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Screenshot of ollama.com: Gemma3 – The current strongest model that fits on a single GPU

Gemma3 – The current strongest model that fits on a single GPU (ollama.com)

212 points by brylie 1 year ago | 86 comments

Screenshot of picolisp.com: Everything Picolisp can do, and more

Everything Picolisp can do, and more (picolisp.com)

86 points by damir 1 year ago | 8 comments

Screenshot of efraingaray.com: TabPFN and TabICL vs. tuned XGBoost: the model that doesn't train won 14/14

TabPFN and TabICL vs. tuned XGBoost: the model that doesn't train won 14/14 (efraingaray.com)

21 points by EfrainGaray 28 days ago | 9 comments

Blog post benchmarking TabPFN and TabICL foundation models against tuned XGBoost on fourteen tabular datasets, finding the no-training models won all fourteen.

tabpfn tabicl xgboost tabular-data

Screenshot of werwolv.net: How to bring up the Linux Kernel on a new platform

How to bring up the Linux Kernel on a new platform (werwolv.net)

67 points by WerWolv 1 month ago | 5 comments

Screenshot of httl.dev: Show HN: A Fast HTTP Request CLI Powered by HTTL

Show HN: A Fast HTTP Request CLI Powered by HTTL (httl.dev)

39 points by emykhailenko 1 year ago | 11 comments

Screenshot of werwolv.net: Reverse Engineering Unknown File Formats with ImHex

Reverse Engineering Unknown File Formats with ImHex (werwolv.net)

245 points by carlos-menezes 1 month ago | 46 comments

Looks similar

Gemma3 – The current strongest model that fits on a single GPU(ollama.com)

Everything Picolisp can do, and more(picolisp.com)

TabPFN and TabICL vs. tuned XGBoost: the model that doesn't train won 14/14(efraingaray.com)

How to bring up the Linux Kernel on a new platform(werwolv.net)

Show HN: A Fast HTTP Request CLI Powered by HTTL(httl.dev)

Reverse Engineering Unknown File Formats with ImHex(werwolv.net)