LLM-Deflate: Extracting LLMs into Datasets (scalarlm.com)

Screenshot of scalarlm.com: LLM-Deflate: Extracting LLMs into Datasets

First screen, captured 1 year ago.

Looks similar

Screenshot of sebastianraschka.com: Optimizing LLMs from a Dataset Perspective

Optimizing LLMs from a Dataset Perspective (sebastianraschka.com)

126 points by alexmolas 3 years ago | 23 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 vllm.ai: Speculative Decoding in vLLM on AMD GPUs

Speculative Decoding in vLLM on AMD GPUs (vllm.ai)

130 points by ankitg12 1 month ago | 47 comments

Screenshot of mlops.systems: My finetuned models beat OpenAI's GPT-4

My finetuned models beat OpenAI's GPT-4 (mlops.systems)

376 points by majc2 2 years ago | 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.

fine-tuning llms gpt-4 mistral

Screenshot of lightning.ai: Takeaways from hundreds of LLM finetuning experiments with LoRA

Takeaways from hundreds of LLM finetuning experiments with LoRA (lightning.ai)

236 points by rasbt 3 years ago | 36 comments

Screenshot of dylancastillo.co: Honey, I shrunk the embeddings: Matryoshka vs. PCA

Honey, I shrunk the embeddings: Matryoshka vs. PCA (dylancastillo.co)

60 points by dcastm 2 months ago | 12 comments

Looks similar

Optimizing LLMs from a Dataset Perspective(sebastianraschka.com)

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

Speculative Decoding in vLLM on AMD GPUs(vllm.ai)

My finetuned models beat OpenAI's GPT-4(mlops.systems)

Takeaways from hundreds of LLM finetuning experiments with LoRA(lightning.ai)

Honey, I shrunk the embeddings: Matryoshka vs. PCA(dylancastillo.co)