KillerShoaib/DeepSeek-r1-Distill-Bangla-MMLU-Reasoning-Data
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Shoaib Hossain
KillerShoaib
AI & ML interests
Computer Vision: Obj Detection, Segmentation, Generative AI
NLP: LLMs
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updated
a dataset
5 days ago
KillerShoaib/DeepSeek-r1-Distill-Bangla-MMLU-Reasoning-Data
published
a dataset
10 days ago
KillerShoaib/DeepSeek-r1-Distill-Bangla-MMLU-Reasoning-Data
liked
a dataset
30 days ago
hishab/titulm-bangla-corpus
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KillerShoaib's activity
updated
a
dataset
5 days ago
published
a
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10 days ago
liked
a
dataset
30 days ago
reacted to
tianchez's
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about 2 months ago
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4293
Introducing VLM-R1!
GRPO has helped DeepSeek R1 to learn reasoning. Can it also help VLMs perform stronger for general computer vision tasks?
The answer is YES and it generalizes better than SFT. We trained Qwen 2.5 VL 3B on RefCOCO (a visual grounding task) and eval on RefCOCO Val and RefGTA (an OOD task).
https://github.com/om-ai-lab/VLM-R1
GRPO has helped DeepSeek R1 to learn reasoning. Can it also help VLMs perform stronger for general computer vision tasks?
The answer is YES and it generalizes better than SFT. We trained Qwen 2.5 VL 3B on RefCOCO (a visual grounding task) and eval on RefCOCO Val and RefGTA (an OOD task).
https://github.com/om-ai-lab/VLM-R1
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ezgikorkmaz's
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If you are interested in deep reinforcement learning now you can register for the AAAI 2025 Tutorial I am organizing!
Link: https://sites.google.com/view/aisafety-aaai2025
Link: https://sites.google.com/view/aisafety-aaai2025
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2 months ago
updated
a
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3 months ago
published
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3 months ago
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4 months ago
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nyuuzyou's
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5 months ago
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2410
🎵 Introducing Suno Music Generation Dataset -
nyuuzyou/suno
Dataset highlights:
- 659,788 AI-generated music samples with comprehensive metadata from suno.com
- Multilingual content with English as primary language, including Japanese and other languages
- Each entry contains rich metadata including:
- Unique song ID, audio/video URLs, and thumbnail images
- AI model version and generation parameters
- Song metadata (tags, prompts, duration)
- Creator information and engagement metrics
- Released to the public domain under Creative Commons Zero (CC0) license
The dataset structure includes detailed information about each generated piece, from technical parameters to user engagement metrics, making it particularly valuable for:
- Music generation model training
- Cross-modal analysis (text-to-audio relationships)
- User engagement studies
- Audio classification tasks
- Music style and genre analysis
Dataset highlights:
- 659,788 AI-generated music samples with comprehensive metadata from suno.com
- Multilingual content with English as primary language, including Japanese and other languages
- Each entry contains rich metadata including:
- Unique song ID, audio/video URLs, and thumbnail images
- AI model version and generation parameters
- Song metadata (tags, prompts, duration)
- Creator information and engagement metrics
- Released to the public domain under Creative Commons Zero (CC0) license
The dataset structure includes detailed information about each generated piece, from technical parameters to user engagement metrics, making it particularly valuable for:
- Music generation model training
- Cross-modal analysis (text-to-audio relationships)
- User engagement studies
- Audio classification tasks
- Music style and genre analysis
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MonsterMMORPG's
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6 months ago
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Stability AI published their most power newest model Stable Diffusion 3.5 Large. This model unlike FLUX is full model not distilled and has huge potential. I have done extensive research and publishing all of it in this video regarding how to use SD 3.5 Large with the best settings. Moreover, I am sharing how to use FLUX DEV with the best possible configuration as well. Moreover, I am making a huge comparison between SD 3.5 and FLUX and you are going to learn who is the winner.
https://youtu.be/-zOKhoO9a5s
62 Prompts tested on all experiments to find best Sampler + Scheduler for Stable Diffusion 3.5 Large and SD 3.5 Large vs FLUX DEV > https://youtu.be/-zOKhoO9a5s
FLUX Dev vs SD 3.5 Large fully compared.
SD 3.5 Large FP16 vs Scaled FP8 fully compared.
T5 XXL FP8 vs Scaled FP8 vs FP16 fully compared.
FLUX FP16 vs Scaled FP8 fully compared.
Also how to install SwarmUI on Windows, Massed Compute and RunPod shown in the tutorial.
I have shown how to use FLUX and SD 3.5 Large in details as well.
https://youtu.be/-zOKhoO9a5s
62 Prompts tested on all experiments to find best Sampler + Scheduler for Stable Diffusion 3.5 Large and SD 3.5 Large vs FLUX DEV > https://youtu.be/-zOKhoO9a5s
FLUX Dev vs SD 3.5 Large fully compared.
SD 3.5 Large FP16 vs Scaled FP8 fully compared.
T5 XXL FP8 vs Scaled FP8 vs FP16 fully compared.
FLUX FP16 vs Scaled FP8 fully compared.
Also how to install SwarmUI on Windows, Massed Compute and RunPod shown in the tutorial.
I have shown how to use FLUX and SD 3.5 Large in details as well.
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6 months ago
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kz919's
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7 months ago
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1541
Just for the meme.
But the clear lesson I learnt from building these demos are, the more powerful the underlying base model is, the closer you will get to GPT4o1. CoT is nothing more than simply inducing the latent reasoning capability from the model.
kz919/GPT4-O1-Proximas
But the clear lesson I learnt from building these demos are, the more powerful the underlying base model is, the closer you will get to GPT4o1. CoT is nothing more than simply inducing the latent reasoning capability from the model.
kz919/GPT4-O1-Proximas
updated
3
models
8 months ago
I need Bangla dataset for pretraining tinyllama .
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#1 opened 11 months ago
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11 months ago
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