Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach Paper β’ 2502.05171 β’ Published Feb 7 β’ 140
Detection Avoidance Techniques for Large Language Models Paper β’ 2503.07595 β’ Published Mar 10 β’ 4
Detection Avoidance Techniques for Large Language Models Paper β’ 2503.07595 β’ Published Mar 10 β’ 4
wesleyacheng/hate-speech-multilabel-classification-with-bert Text Classification β’ Updated Jun 23, 2023 β’ 87 β’ 2
How well can machine-generated texts be identified and can language models be trained to avoid identification? Paper β’ 2310.16992 β’ Published Oct 25, 2023 β’ 2
How well can machine-generated texts be identified and can language models be trained to avoid identification? Paper β’ 2310.16992 β’ Published Oct 25, 2023 β’ 2
SinclairSchneider/german_politic_direction_DeBERTa-large Text Classification β’ Updated Mar 19 β’ 90 β’ 1
view post Post 1226 Hi folks,Tenyx announced its latest model Llama3-TenyxChat-70B, which outperforms a GPT-4 variant on several MT-Bench measurements.By post-training Llama-3 70B in 15 hours, our model improves reasoning capabilities leveraging the relationship between geometry and LLM task complexity (Take a look at our paper: https://arxiv.org/abs/2312.01648, to be presented at ICML 2024)Model: tenyx/Llama3-TenyxChat-70B, HuggingFace Space: tenyx/Llama3-TenyxChat-70B π₯ 7 7 π 5 5 π 2 2 π€ 2 2 π§ 1 1 π€― 1 1 + Reply
SinclairSchneider/bundeszentrale_fuer_politische_bildung Viewer β’ Updated Aug 17, 2023 β’ 31.3k β’ 36 β’ 3