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Alibaba presents WebSailor Navigating Super-human Reasoning for Web Agent

28,882 次观看 • 11 个月前 •via X (Twitter)

9 条评论

AK 的头像
AK11 个月前

discuss with author:

Tsukuyomi 的头像
Tsukuyomi11 个月前

super-human reasoning? sounds like a great way to navigate the chaos. let's see if it can outsmart the mess we call humanity.

MemeCoinTracker (MCT) 的头像
MemeCoinTracker (MCT)11 个月前

Alpha tech incoming

EezyCollab 的头像
EezyCollab11 个月前

hi ak this is EezyCollab team. Could you please check dm thanks

Compute King 的头像
Compute King11 个月前

Warm congrats to Ali Tongyi team on the achievements:

clem 🤗 的头像
clem 🤗11 个月前

We just released the best 3B model, 100% open-source, open dataset, architecture details, exact data mixtures and full training recipe including pre-training, mid-training, post-training, and synthetic data generation for everyone to train their own. Let's go open-source AI!

merve 的头像
merve11 个月前

ByteDance released Tar 1.5B and 7B: image-text in image-text out models 👏 They have an image tokenizer unified with text, and they de-tokenize using either of two models (LLM and diffusion) The model is actually a full LLM (Qwen2), the tokenizer converts image tokens 🤯

Tung Nguyen 的头像
Tung Nguyen11 个月前

🚀 Introducing PhysiX: One of the first large-scale foundation models for physics simulations! PhysiX is a 4.5B parameter model that unifies a wide range of physical systems, from fluid dynamics to reaction-diffusion, outperforming specialized, state-of-the-art models.

Unsloth AI 的头像
Unsloth AI11 个月前

We made step-by-step guides to Fine-tune & Run every single LLM! 🦥 What you'll learn: • Technical analysis + Bug fixes explained for each model • Best practices & optimal settings • How to fine-tune with our notebooks • Directory of model variants 🔗

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