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Artificial Intelligence l l AI Updates

Artificial Intelligence l l AI Updates

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News about AI & DL & ML!!! Admin: @Gayrat_Tangriberganov

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πŸ”— GitHub_Link ❇️ BLIP3-o πŸ”₯ Join my channel: πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ https://t.me/Artificial_Intelligence_Updates
πŸ”— GitHub_Link ❇️ BLIP3-o πŸ”₯ Join my channel: πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ https://t.me/Artificial_Intelligence_Updates

πŸ”— GitHub_Link ❇️ FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models #DiffusionModels Join my channel: πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ https://t.me/Artificial_Intelligence_Updates

πŸ”— GitHub_Link ❇️ VLDet: Learning Object-Language Alignments for Open-Vocabulary Object Detection πŸ”₯πŸ”₯πŸ”₯ Join my channel: πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ https://t.me/Artificial_Intelligence_Updates

πŸ”— GitHub_Link ❇️ Recognize Any Regions πŸ”₯πŸ”₯πŸ”₯ Join my channel: πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ https://t.me/Artificial_Intelligence_Updates
πŸ”— GitHub_Link ❇️ Recognize Any Regions πŸ”₯πŸ”₯πŸ”₯ Join my channel: πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ https://t.me/Artificial_Intelligence_Updates

πŸ”— GitHub_Link ❇️ SimOWT: A Simple Baseline for Open-World Tracking via Self-training πŸ”₯πŸ”₯πŸ”₯ Join my channel: πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ https://t.me/Artificial_Intelligence_Updates

πŸ”— GitHub_Link ❇️ Troy-VIS: Towards Real-Time Open-Vocabulary Video Instance Segmentation #InstanceSegmentation Join my channel: πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ https://t.me/Artificial_Intelligence_Updates

πŸ”— GitHub_Link ❇️ A Unified Tokenizer for Visual Generation and Understanding #Generative_AI Join my channel: πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ ht
πŸ”— GitHub_Link ❇️ A Unified Tokenizer for Visual Generation and Understanding #Generative_AI Join my channel: πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ https://t.me/Artificial_Intelligence_Updates

πŸ”— GitHub_Link ❇️ Enhancing Creative Generation on Stable Diffusion-based Models #DiffusionModels Join my channel: πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
πŸ”— GitHub_Link ❇️ Enhancing Creative Generation on Stable Diffusion-based Models #DiffusionModels Join my channel: πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ https://t.me/Artificial_Intelligence_Updates

πŸ”— GitHub_Link ❇️ Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedu
πŸ”— GitHub_Link ❇️ Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classification #Medical_AI Join my channel: πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ https://t.me/Artificial_Intelligence_Updates

πŸ”— GitHub_Link ❇️ Gaze-LLE: Gaze Target Estimation via Large-Scale Learned Encoders πŸ”₯ #GazeEstimation Join my channel: πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ https://t.me/Artificial_Intelligence_Updates

1️⃣ VLMs (Vision-Language Models) These multimodal combine visual and textual understanding to interpret images and generate text about them. 2️⃣ SLMs (Small Language Models) Compact yet powerful models optimized for edge devices with tight energy and latency constraints. 3️⃣ MLMs (Masked Language Models) The OG bidirectional models that look at both left and right context to understand meaning in text. 4️⃣ SAMs (Segment Anything Models) Foundation models for universal visual segmentation with pixel-level precision. #just4study Join my channel: πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ https://t.me/Artificial_Intelligence_Updates

1️⃣ LLMs (Large Language Models) These foundational models process text token-by-token, enabling everything from creative writing to complex reasoning. 2️⃣ LCMs (Large Concept Models) Meta's newer approach encodes entire sentences as "concepts" in SONAR embedding space, transcending word-level processing. 3️⃣ LAMs (Large Action Models) Emerging models that bridge understanding with action, executing tasks through system-level operations. 4️⃣ MoE (Mixture of Experts) These models activate only relevant expert networks per query, dramatically improving efficiency while maintaining performance. #just4study Join my channel: πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ https://t.me/Artificial_Intelligence_Updates

πŸ”— GitHub_Link ❇️ PixelHacker: Image Inpainting with Structural and Semantic Consistency πŸ”₯ Join my channel: πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ https://t.me/Artificial_Intelligence_Updates

πŸ”— GitHub_Link ❇️ MotionDirector Training For AnimateDiff. Train a MotionLoRA and run it on any compatible AnimateDiff UI πŸ”₯ #ComfyUI Join my channel: πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ https://t.me/Artificial_Intelligence_Updates

πŸ”— GitHub_Link ❇️ ComfyUI nodes to use AnimateDiff-MotionDirectorπŸ”₯ #ComfyUI Join my channel: πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ https://t.me/Artificial_Intelligence_Updates

πŸ”— GitHub_Link ❇️ Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfels πŸ”₯ #4D Join my channel: πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ https://t.me/Artificial_Intelligence_Updates

πŸ”— GitHub_Link ❇️ RealmDreamer: Text-Driven 3D Scene Generation with Inpainting and Depth Diffusion #3D Join my channel: πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ https://t.me/Artificial_Intelligence_Updates

πŸ”— GitHub_Link ❇️ RealmDreamer: Text-Driven 3D Scene Generation with Inpainting and Depth Diffusion #3D Join my channel: πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ https://t.me/Artificial_Intelligence_Updates

πŸ”— GitHub_Link ❇️ VSP-LLM (Visual Speech Processing incorporated with LLMs) #LLMs Join my channel: πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ https://t.me/Artificial_Intelligence_Updates

πŸ”— GitHub_Link ❇️ In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer πŸ”₯ Join my channel: πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡ https://t.me/Artificial_Intelligence_Updates