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
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
Telegram has no known backdoors and, even though it is come in for criticism for using proprietary encryption methods instead of open-source ones, those have yet to be compromised. While no messaging app can guarantee a 100% impermeable defense against determined attackers, Telegram is vulnerabilities are few and either theoretical or based on spoof files fooling users into actively enabling an attack.
The messaging service and social-media platform owes creditors roughly $700 million by the end of April, according to people briefed on the company’s plans and loan documents viewed by The Wall Street Journal. At the same time, Telegram Group Inc. must cover rising equipment and bandwidth expenses because of its rapid growth, despite going years without attempting to generate revenue.
Small Data Science for Russian Adventurers from tw
