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haipengluo

haipeng1

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upvoted a paper 24 days ago

Momentum-GS: Momentum Gaussian Self-Distillation for High-Quality Large Scene Reconstruction

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haipeng1's activity

upvoted a paper 24 days ago

Momentum-GS: Momentum Gaussian Self-Distillation for High-Quality Large Scene Reconstruction

Paper • 2412.04887 • Published 28 days ago • 16

upvoted a paper 2 months ago

MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models

Paper • 2410.13370 • Published Oct 17, 2024 • 35

updated a model 6 months ago

haipeng1/hp_intern2

Updated Jun 30, 2024

upvoted a collection 9 months ago

WizardLM

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0 items • Updated Jul 11, 2024 • 102

reacted to WizardLM's post with 🔥🤗🚀 9 months ago

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🔥🔥🔥 Introducing WizardLM-2!

📙Release Blog: https://wizardlm.github.io/WizardLM2
✅Model Weights: microsoft/wizardlm-661d403f71e6c8257dbd598a
🐦Twitter: https://twitter.com/WizardLM_AI/status/1779899325868589372

We introduce and opensource WizardLM-2, our next generation state-of-the-art large language models, which have improved performance on complex chat, multilingual, reasoning and agent. New family includes three cutting-edge models: WizardLM-2 8x22B, WizardLM-2 70B, and WizardLM-2 7B.

WizardLM-2 8x22B is our most advanced model, and the best opensource LLM in our internal evaluation on highly complex tasks. WizardLM-2 70B reaches top-tier reasoning capabilities and is the first choice in the same size. WizardLM-2 7B is the fastest and achieves comparable performance with existing 10x larger opensource leading models.

🤗 WizardLM 2 Capacities:

1. MT-Bench (Figure-1)
The WizardLM-2 8x22B even demonstrates highly competitive performance compared to the most advanced proprietary works such as GPT-4-Trubo and Glaude-3. Meanwhile, WizardLM-2 7B and WizardLM-2 70B are all the top-performing models among the other leading baselines at 7B to 70B model scales.

2. Human Preferences Evaluation (Figure 2)
Through this human preferences evaluation, WizardLM-2's capabilities are very close to the cutting-edge proprietary models such as GPT-4-1106-preview, and significantly ahead of all the other open source models.

🔍Method Overview:
As the natural world's human-generated data becomes increasingly exhausted through LLM training, we believe that: the data carefully created by AI and the model step-by-step supervised by AI will be the sole path towards more powerful AI.

In the past one year, we built a fully AI powered synthetic training system. (As shown in the Figure 3).