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Small Data Science for Russian Adventurers
#ссылки
Один из каталогов "лучших статей в ML" https://github.com/dmarx/anthology-of-modern-ml

Из обновлений последних лет:
2022
- Chinchilla - Training Compute-Optimal Large Language Models
- Stable Diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
- Instruct tuning - Training language models to follow instructions with human feedback
- Efficient diffusion sampling - Elucidating the Design Space of Diffusion-Based Generative Models
- Diffusion as a de-corruption process - Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

2023
- ToolFormer - Toolformer: Language Models Can Teach Themselves to Use Tools
- Gaussian Splatting - 3D Gaussian Splatting for Real-Time Radiance Field Rendering
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#ссылки
Один из каталогов "лучших статей в ML" https://github.com/dmarx/anthology-of-modern-ml

Из обновлений последних лет:
2022
- Chinchilla - Training Compute-Optimal Large Language Models
- Stable Diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
- Instruct tuning - Training language models to follow instructions with human feedback
- Efficient diffusion sampling - Elucidating the Design Space of Diffusion-Based Generative Models
- Diffusion as a de-corruption process - Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

2023
- ToolFormer - Toolformer: Language Models Can Teach Themselves to Use Tools
- Gaussian Splatting - 3D Gaussian Splatting for Real-Time Radiance Field Rendering

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Start with a fresh view of investing strategy. The combination of risks and fads this quarter looks to be topping. That means the future is ready to move in.Likely, there will not be a wholesale shift. Company actions will aim to benefit from economic growth, inflationary pressures and a return of market-determined interest rates. In turn, all of that should drive the stock market and investment returns higher.

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#ссылкиОдин из каталогов "лучших статей в ML" https://github.com/dmarx/anthology-of-modern-mlИз обновлений последних лет:2022- Chinchilla - Training Compute-Optimal Large Language Models- Stable Diffusion - High-Resolution Image Synthesis with Latent Diffusion Models- Instruct tuning - Training language models to follow instructions with human feedback- Efficient diffusion sampling - Elucidating the Design Space of Diffusion-Based Generative Models- Diffusion as a de-corruption process - Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise2023- ToolFormer - Toolformer: Language Models Can Teach Themselves to Use Tools- Gaussian Splatting - 3D Gaussian Splatting for Real-Time Radiance Field Rendering

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