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  • ⏰ Featured AI: DeepSeek Releases Janus-Pro 7B and Qwen AI Releases Qwen2.5-VL and Qwen2.5-Max....

⏰ Featured AI: DeepSeek Releases Janus-Pro 7B and Qwen AI Releases Qwen2.5-VL and Qwen2.5-Max....

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Dive into the hottest AI breakthroughs of the week—handpicked just for you!

Super Important AI News 🔥 🔥 🔥

🧵🧵 Meet IntellAgent: An Open-Source Multi-Agent Framework to Evaluate Complex Conversational AI System (Promoted)

 DeepSeek-AI Releases Janus-Pro 7B: An Open-Source multimodal AI that Beats DALL-E 3 and Stable Diffusion

🎃 Qwen AI Introduces Qwen2.5-Max: A large MoE LLM Pretrained on Massive Data and Post-Trained with Curated SFT and RLHF Recipes

🚨 Beyond Open Source AI: How Bagel’s Cryptographic Architecture, Bakery Platform, and ZKLoRA Drive Sustainable AI Monetization(Promoted)

🧲 🧲  [Worth Reading] Nebius AI Studio expands with vision models, new language models, embeddings and LoRA (Promoted) 

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Featured AI Update 🛡️🛡️🛡️

Qwen AI has introduced Qwen2.5-VL, a new vision-language model designed to handle computer-based tasks with minimal setup. Building on its predecessor, Qwen2-VL, this iteration offers improved visual understanding and reasoning capabilities. Qwen2.5-VL can recognize a broad spectrum of objects, from everyday items like flowers and birds to more complex visual elements such as text, charts, icons, and layouts. Additionally, it functions as an intelligent visual assistant, capable of interpreting and interacting with software tools on computers and phones without extensive customization.

From a technical perspective, Qwen2.5-VL incorporates several advancements. It employs a Vision Transformer (ViT) architecture refined with SwiGLU and RMSNorm, aligning its structure with the Qwen2.5 language model. The model supports dynamic resolution and adaptive frame rate training, enhancing its ability to process videos efficiently. By leveraging dynamic frame sampling, it can understand temporal sequences and motion, improving its ability to identify key moments in video content. These enhancements make its vision encoding more efficient, optimizing both training and inference speeds.

Other AI News 🎖️🎖️🎖️

🚨 Meet IntellAgent: An Open-Source Multi-Agent Framework to Evaluate Complex Conversational AI System (Promoted)

🧿 InternVideo2.5: Hierarchical Token Compression and Task Preference Optimization for Video MLLMs

 

🧵🧵 Check out how Parlant (An Open-Source Framework) transforms AI agents to make decisions in customer-facing scenarios (Promoted)

 🧩  ByteDance Introduces UI-TARS: A Native GUI Agent Model that Integrates Perception, Action, Reasoning, and Memory into a Scalable and Adaptive Framework

🚨 [Worth Reading] Nebius AI Studio expands with vision models, new language models, embeddings and LoRA (Promoted)