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Interesting comparison of LoRA and Full Fine-Tuning thinkingmachines.ai/blog/lora/
LoRA Without Regret
How LoRA matches full training performance more broadly than expected.
thinkingmachines.ai
November 13, 2025 at 8:40 AM
Interesting comparison of LoRA and Full Fine-Tuning thinkingmachines.ai/blog/lora/
This is nice, I remember looking for charlist.to_string/from_string
November 8, 2025 at 3:51 PM
This is nice, I remember looking for charlist.to_string/from_string
Unmarshalling of the SQuAD JSON is 37% faster by turning on `GOEXPERIMENT=jsonv2` in #golang 1.25 and 60% faster by using jsonv2 Unmarshal* API.
November 3, 2025 at 1:06 PM
Unmarshalling of the SQuAD JSON is 37% faster by turning on `GOEXPERIMENT=jsonv2` in #golang 1.25 and 60% faster by using jsonv2 Unmarshal* API.
Check out how to manage nested models with Charm Bubble Tea TUI framework for #golang: donderom.com/posts/managi...
Managing nested models with Bubble Tea | Roman Parykin
Model Stack architecture to compose nested models with Bubble Tea framework for Go.
donderom.com
November 1, 2025 at 10:21 AM
Check out how to manage nested models with Charm Bubble Tea TUI framework for #golang: donderom.com/posts/managi...