🤖🧠 How oLLM Makes Large-Context AI Models Run Smoothly on 8GB GPUs

🗓️ 11 Oct 2025
📚 AI News & Trends

Artificial intelligence has revolutionized the way we process information, analyze data, and automate complex tasks. With the rise of large language models (LLMs), AI capabilities have grown exponentially, enabling applications from natural language understanding to multimodal reasoning. However, running these models efficiently especially with massive context windows, remains a challenge due to their high memory ...

#oLLM #LargeContextAI #AIGPU #MachineLearning #LLMs #AIOptimization

🤖🧠 ROMA: The Ultimate AI Framework That Lets You Build High-Performance Agents in Minutes

🗓️ 11 Oct 2025
📚 AI News & Trends

Artificial Intelligence continues to evolve at an unprecedented pace, with agent-based frameworks becoming increasingly important for tackling complex problems. ROMA (Recursive Open Meta-Agents) represents a significant leap forward in this space, providing developers and researchers with a hierarchical, flexible, and high-performance framework for building multi-agent AI systems. This article explores ROMA’s architecture, technical capabilities, practical ...

#ROMA #AIFramework #MultiAgentSystems #ArtificialIntelligence #HighPerformanceAI #AgentBasedAI

🤖🧠 15+ Gemini AI Photo Editing Prompts for Boys: Create Stunning Styles & Expressions in 2025

🗓️ 11 Oct 2025
📚 AI News & Trends

Are you looking to take your portraits to the next level? With Gemini AI Photo Editing Prompts, boys can now turn ordinary photos into ultra-realistic, cinematic or high-fashion images effortlessly. These prompts are specifically designed to work with uploaded images, allowing you to enhance your existing photos while keeping the subject intact. Whether you’re curating ...

#GeminiAI #PhotoEditing #AIPrompts #PortraitPhotography #AIImageGeneration #BoysFashion

🤖🧠 Artificial Intelligence: A Modern Approach — The Ultimate Number 1 Guide to Learning AI by Stuart Russell and Peter Norvig

🗓️ 12 Oct 2025
📚 AI News & Trends

When it comes to learning artificial intelligence (AI), few resources hold as much authority as “Artificial Intelligence: A Modern Approach” by Stuart Russell and Peter Norvig. Often regarded as the “Bible of AI”, this textbook has become the most widely used academic reference in the field adopted by over 1,500 universities and institutions worldwide. Published ...

#ArtificialIntelligence #AIModernApproach #StuartRussell #PeterNorvig #AIBible #AIEducation

🤖🧠 Grok AI Chatbot (2025): Elon Musk’s Bold Answer to Real-Time, Intelligent Conversation

🗓️ 12 Oct 2025
📚 AI News & Trends

The year 2025 marks a new era in the evolution of conversational AI and at the center of this transformation stands Grok AI, the innovative chatbot developed by Elon Musk’s company xAI. Grok isn’t just another virtual assistant; it’s a real-time intelligent system that combines deep reasoning with a unique, witty personality. What truly sets ...

#GrokAI #xAI #ConversationalAI #ElonMusk #RealTimeAI #IntelligentChatbot

🔹 Title: TAG:Tangential Amplifying Guidance for Hallucination-Resistant Diffusion Sampling

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04533
• PDF: https://arxiv.org/pdf/2510.04533
• Project Page: https://hyeon-cho.github.io/TAG/

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🔹 Title: ReviewerToo: Should AI Join The Program Committee? A Look At The Future of Peer Review

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08867
• PDF: https://arxiv.org/pdf/2510.08867

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🔹 Title: Don't Waste Mistakes: Leveraging Negative RL-Groups via Confidence Reweighting

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08696
• PDF: https://arxiv.org/pdf/2510.08696

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🔹 Title: StreamingVLM: Real-Time Understanding for Infinite Video Streams

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09608
• PDF: https://arxiv.org/pdf/2510.09608
• Github: https://github.com/mit-han-lab/streaming-vlm

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🔹 Title: SpaceVista: All-Scale Visual Spatial Reasoning from mm to km

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09606
• PDF: https://arxiv.org/pdf/2510.09606
• Project Page: https://peiwensun2000.github.io/mm2km/
• Github: https://github.com/PeiwenSun2000/SpaceVista

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/SpaceVista/Data-Preview

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🔹 Title: Mind-Paced Speaking: A Dual-Brain Approach to Real-Time Reasoning in Spoken Language Models

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09592
• PDF: https://arxiv.org/pdf/2510.09592
• Github: https://github.com/stepfun-ai/Step-MPS

🔹 Datasets citing this paper:
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🔹 Title: Dyna-Mind: Learning to Simulate from Experience for Better AI Agents

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09577
• PDF: https://arxiv.org/pdf/2510.09577

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🔹 Title: Pseudo2Real: Task Arithmetic for Pseudo-Label Correction in Automatic Speech Recognition

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://www.arxiv.org/abs/2510.08047
• PDF: https://arxiv.org/pdf/2510.08047

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🤖🧠 Try Powerful Mem0 AI to build Long-Term Memory for AI Agents

🗓️ 12 Oct 2025
📚 AI News & Trends

Artificial Intelligence has made incredible leaps in recent years from chatbots that converse naturally to AI agents capable of reasoning and decision-making. However, one major limitation has persisted: memory. Traditional large language models (LLMs) like ChatGPT or Claude can process vast data but fail to remember context across long interactions. This is where Mem0 AI, ...

#Mem0AI #AIAgents #LongTermMemory #ArtificialIntelligence #AIMemory #LLMs

🔹 Title: Thinking with Camera: A Unified Multimodal Model for Camera-Centric Understanding and Generation

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08673
• PDF: https://arxiv.org/pdf/2510.08673
• Project Page: https://kangliao929.github.io/projects/puffin/
• Github: https://github.com/KangLiao929/Puffin

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/KangLiao/Puffin-4M

🔹 Spaces citing this paper:
• https://huggingface.co/spaces/KangLiao/Puffin
• https://huggingface.co/spaces/wusize/Puffin
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🔹 Title: Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06499
• PDF: https://arxiv.org/pdf/2510.06499
• Project Page: https://huggingface.co/datasets/Salesforce/Webscale-RL
• Github: https://github.com/SalesforceAIResearch/PretrainRL-pipeline

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/Salesforce/Webscale-RL

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🔹 Title: Progressive Gaussian Transformer with Anisotropy-aware Sampling for Open Vocabulary Occupancy Prediction

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04759
• PDF: https://arxiv.org/pdf/2510.04759
• Project Page: https://yanchi-3dv.github.io/PG-Occ/
• Github: https://github.com/yanchi-3dv/PG-Occ

🔹 Datasets citing this paper:
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🔹 Title: Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09201
• PDF: https://arxiv.org/pdf/2510.09201
• Github: https://github.com/Dozi01/MPO

🔹 Datasets citing this paper:
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🔹 Title: R-Horizon: How Far Can Your Large Reasoning Model Really Go in Breadth and Depth?

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08189
• PDF: https://arxiv.org/pdf/2510.08189

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🔹 Title: Parallel Test-Time Scaling for Latent Reasoning Models

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07745
• PDF: https://arxiv.org/pdf/2510.07745
• Github: https://github.com/YRYangang/LatentTTS

🔹 Datasets citing this paper:
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🔹 Title: TC-LoRA: Temporally Modulated Conditional LoRA for Adaptive Diffusion Control

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09561
• PDF: https://arxiv.org/pdf/2510.09561

🔹 Datasets citing this paper:
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