Adding Error Bars to Evals: A Statistical Approach to LM Evaluations | #llm #genai #anthropic #2024
Github: https://arxiv.org/pdf/2411.00640 This research paper advocates for incorporating rigorous statistical methods into the evaluation of large language models (LLMs). It introduces formulas for c...
27 Nov 202414min
Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions | #ai #llm #alibaba #genai #2024
Paper: https://arxiv.org/pdf/2411.14405 Github: https://github.com/AIDC-AI/Marco-o1 The Alibaba MarcoPolo team introduces Marco-o1, a large reasoning model designed to excel in open-ended problem-sol...
27 Nov 202414min
FLUX.I TOOLS | #ai #computervision #cv #BlackForestLabs #2024
Github: https://github.com/black-forest-labs/... Black Forest Labs announced FLUX.1 Tools, a suite of four open-access and API-based models enhancing their FLUX.1 text-to-image model. FLUX.1 Fill exc...
27 Nov 202414min
Tülu 3 opens language model post-training up to more tasks and more people | #ai #llm #allenai #2024
Blog: https://allenai.org/blog/tulu-3 Summary The Allen Institute for Artificial Intelligence (Ai2) has released Tülu 3, an open-source family of post-trained language models. Unlike closed models fr...
27 Nov 202414min
Multimodal Autoregressive Pre-training of Large Vision Encoders | #ai #computervision #apple #2024
Paper: https://arxiv.org/pdf/2411.14402 Github Link: https://github.com/apple/ml-aim This research introduces AIMV2, a family of large-scale vision encoders pre-trained using a novel multimodal auto...
27 Nov 202414min
