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Huy Vo

sitloboi2012
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https://sitloboi2012.github.io/Curriculum-Vitae/

AI & ML interests

Document AI, Natural Language Processing and Time Series Analysis

Recent Activity

Reacted to Taylor658's post with πŸ‘€ about 2 months ago
Spent the weekend testing out some prompts with πŸ•΅οΈβ€β™‚οΈMystery BotπŸ•΅οΈβ€β™‚οΈ on my mobile... exciting things are coming soon for the following languages: 🌐Arabic, Chinese, Czech, Dutch, English French, German, Greek, Hebrew, Hindi, Indonesian, Italian, Japanese, Korean, Persian, Polish, Portuguese, Romanian, Russian, Spanish, Turkish, Ukrainian, and Vietnamese!🌐
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sitloboi2012's activity

reacted to Taylor658's post with πŸ‘€ about 2 months ago
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Spent the weekend testing out some prompts with πŸ•΅οΈβ€β™‚οΈMystery BotπŸ•΅οΈβ€β™‚οΈ on my mobile... exciting things are coming soon for the following languages:

🌐Arabic, Chinese, Czech, Dutch, English French, German, Greek, Hebrew, Hindi, Indonesian, Italian, Japanese, Korean, Persian, Polish, Portuguese, Romanian, Russian, Spanish, Turkish, Ukrainian, and Vietnamese!🌐
reacted to singhsidhukuldeep's post with πŸ‘€ 3 months ago
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1 hour of OpenAi o1, here are my thoughts...

Here are my few observations:

- Slower response times: o1 can take over 10+ seconds to answer some questions, as it spends more time "thinking" through problems. In my case, it took over 50 seconds.

- Less likely to admit ignorance: The models are reported to be less likely to admit when they don't know the answer to a question.

- Higher pricing: o1-preview is significantly more expensive than GPT-4o, costing 3x more for input tokens and 4x more for output tokens in the API. With more thinking and more tokens, this could require houses to be mortgaged!

- Do we need this?: While it's better than GPT-4o for complex reasoning, on many common business tasks, its performance is just equivalent.

- Not a big deal: No comparisons to Anthropic or Google DeepMind Gemini are mentioned or included.

- This model tries to think and iterate over the response on its own! Think of it as an inbuilt CoT on steroids! Would love a technical review paper on the training process.

A must-read paper: https://cdn.openai.com/o1-system-card.pdf
updated a dataset 4 months ago
New activity in sitloboi2012/SemiKong-Training-Dataset 4 months ago

Librarian Bot: Add language metadata for dataset
#2 opened 4 months ago by librarian-bot
updated a dataset 4 months ago
updated a collection 5 months ago
upvoted a collection 5 months ago
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liked a Space 8 months ago
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New activity in tomaarsen/gliner_medium-v2.1 9 months ago

Thanks for sharing this !

1
#1 opened 9 months ago by Tonic
reacted to DmitryRyumin's post with ❀️ 9 months ago
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πŸš€πŸ•ΊπŸŒŸ New Research Alert - AAAI 2024! πŸŒŸπŸ’ƒπŸš€
πŸ“„ Title: Relightable and Animatable Neural Avatars from Videos πŸŒŸπŸš€

πŸ“ Description: Relightable & animatable neural avatars from sparse videos.

πŸ‘₯ Authors: Wenbin Lin, Chengwei Zheng, Jun-Hai Yong, and Feng Xu

πŸ“… Conference: AAAI, February 20-27, 2024 | Vancouver, Canada πŸ‡¨πŸ‡¦

πŸ”— Paper: Relightable and Animatable Neural Avatars from Videos (2312.12877)

🌐 Github Page: https://wenbin-lin.github.io/RelightableAvatar-page
πŸ“ Repository: https://github.com/wenbin-lin/RelightableAvatar

πŸ“Ί Video: https://www.youtube.com/watch?v=v9rlys0xQGo

πŸ“š More Papers: more cutting-edge research presented at other conferences in the DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin

πŸš€ Added to the Avatars Collection: DmitryRyumin/avatars-65df37cdf81fec13d4dbac36

πŸ“š Added to the AAAI 2024 Papers: https://github.com/DmitryRyumin/AAAI-2024-Papers

πŸ” Keywords: #NeuralAvatar #RelightableAvatars #AnimatableAvatars #3DModeling #PhotorealisticRendering #ShadowModeling #DigitalAvatars #GeometryModeling #AAAI2024 #DeepLearning #Animation #Innovation
reacted to stas's post with πŸ‘ 9 months ago