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From bare metal to a large model with 70 billion parameters, here is a tutorial and ready-to-use scripts
Release:2024-07-24 20:13:31
How to create an open source model that can defeat GPT-4o? Regarding Llama 3.1 405B, Meta is written in this paper
Release:2024-07-24 18:42:03
The performance is 11 times stronger. Georgia Tech and Tsinghua teams used AI to assist in discovering new energy storage materials, published in Nature sub-journal
Release:2024-07-24 17:42:52
Neural networks also have spatial awareness! Learn to create maps in Minecraft, published in Nature sub-magazine
Release:2024-07-24 09:38:12
The first open source model to surpass GPT4o level! Llama 3.1 leaked: 405 billion parameters, download links and model cards are available
Release:2024-07-23 20:51:33
ECCV 2024|BlazeBVD, a general method for blind video de-flickering, is here, jointly proposed by Meitu and the National University of Science and Technology of China
Release:2024-07-23 15:13:34
The embodied intelligent robot company invested by Xiaomi and the welding giant officially announced strategic cooperation
Release:2024-07-23 14:50:54
Unlimited video generation, planning and decision-making, diffusion forced integration of next token prediction and full sequence diffusion
Release:2024-07-23 14:05:21
After 'Alibaba Star', Alibaba Taotian restarted the recruitment of top technical talents, with an annual salary of one million as standard
Release:2024-07-22 21:20:23
ICML 2024 Oral | Is DPO more suitable for LLM than PPO? Tsinghua Wuyi team's latest revelation
Release:2024-07-22 18:41:23
New standard for AI imaging, only 1% of original data can achieve the best performance, general medical basic model published in Nature sub-journal
Release:2024-07-22 17:38:00
ECCV 2024 | To improve the performance of GPT-4V and Gemini detection tasks, you need this prompt paradigm
Release:2024-07-22 17:28:30
KDD 2024|Hong Kong Rhubarb Chao team deeply analyzes the 'unknown boundary' of large models in the field of graph machine learning
Release:2024-07-22 16:54:34
The University of Science and Technology of China and Huawei Noah proposed Entropy Law to reveal the relationship between large model performance, data compression rate and training loss.
Release:2024-07-22 16:39:35
The weights, codes, and data sets are all open source, and the performance exceeds Mistral-7B. Apple's small model is here
Release:2024-07-22 16:18:40
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