Saving Memory Using Padding-Free Transformer Layers during Finetuning By mayank-mishra • 21 minutes ago • 5
An Analysis of Chinese LLM Censorship and Bias with Qwen 2 Instruct By leonardlin • about 1 hour ago • 23
Market Research using AI Evolutionary Algorithms and Multimodel Regression By tonyassi • about 8 hours ago
Orchestrating Small Language Models (SLM) using JavaScript and the Hugging Face Inference API By rrg92 • 7 days ago • 1
Orquestrando Small Language Models (SLM) usando JavaScript e a API de Inferência do Hugging Face By rrg92 • 7 days ago • 1
Fine-tune and deploy open LLMs as containers using AIKit - Part 1: Running on a local machine By sozercan • 7 days ago • 2
LLM Data Engineering 3——Data Collection Magic: Acquiring Top Training Data By JessyTsu1 • 7 days ago • 2
I ran 580 model-dataset experiments to show that, even if you try very hard, it is almost impossible to know that a model is degrading just by looking at data drift results By santiviquez • 7 days ago
Saving Memory Using Padding-Free Transformer Layers during Finetuning By mayank-mishra • 21 minutes ago • 5
An Analysis of Chinese LLM Censorship and Bias with Qwen 2 Instruct By leonardlin • about 1 hour ago • 23
Market Research using AI Evolutionary Algorithms and Multimodel Regression By tonyassi • about 8 hours ago
Orchestrating Small Language Models (SLM) using JavaScript and the Hugging Face Inference API By rrg92 • 7 days ago • 1
Orquestrando Small Language Models (SLM) usando JavaScript e a API de Inferência do Hugging Face By rrg92 • 7 days ago • 1
Fine-tune and deploy open LLMs as containers using AIKit - Part 1: Running on a local machine By sozercan • 7 days ago • 2
LLM Data Engineering 3——Data Collection Magic: Acquiring Top Training Data By JessyTsu1 • 7 days ago • 2
I ran 580 model-dataset experiments to show that, even if you try very hard, it is almost impossible to know that a model is degrading just by looking at data drift results By santiviquez • 7 days ago