CRDT Benchmarks(jsonjoy.com)
154 points by streamich | 39 comments
First screen, captured .
Looks similar
TabPFN and TabICL vs. tuned XGBoost: the model that doesn't train won 14/14(efraingaray.com)
21 points by EfrainGaray | 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.
My finetuned models beat OpenAI's GPT-4(mlops.systems)
376 points by majc2 | 86 comments
Blog post evaluating finetuned Mistral, Llama3 and Solar LLMs against OpenAI's GPT-4 on accuracy for structured data extraction from press releases.
Beating GPT-4 on HumanEval with a fine-tuned CodeLlama-34B(phind.com)
737 points by rushingcreek | 258 comments
Phind blog post announcing fine-tuned CodeLlama-34B models that score 67.6% and 69.5% pass@1 on HumanEval, beating GPT-4's reported 67%.
