ML Research Hub
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Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.

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πŸ€–πŸ§  OpenAI’s AgentKit: Transforming How Developers Build and Deploy AI Agents

πŸ—“οΈ 08 Oct 2025
πŸ“š AI News & Trends

OpenAI continues to redefine the frontiers of artificial intelligence with the introduction of AgentKit a powerful all-in-one toolkit designed to simplify and accelerate how developers build and deploy AI agents. Unveiled during OpenAI’s Dev Day on October 6, 2025, AgentKit marks a transformative leap in agentic AI technology giving developers and organizations the ability to ...

#OpenAI #AgentKit #AIAgents #ArtificialIntelligence #DeveloperTools #AIInnovation
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πŸ€–πŸ§  Ling-1T by inclusionAI: The Future of Smarter, Faster and More Efficient AI Models

πŸ—“οΈ 09 Oct 2025
πŸ“š AI News & Trends

Artificial Intelligence is evolving at lightning speed and inclusionAI’s Ling-1T is one of the most exciting innovations leading the charge. Built on the advanced Ling 2.0 architecture, Ling-1T is a trillion-parameter model designed to combine incredible reasoning power, speed and scalability in one open-source system. Image Source : Hugging Face Unlike many AI models that ...

#Ling1T #inclusionAI #ArtificialIntelligence #OpenSourceAI #LargeLanguageModels #AIArchitecture
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πŸ€–πŸ§  PyMuPDF: The Ultimate Python Library for High-Performance PDF Processing

πŸ—“οΈ 09 Oct 2025
πŸ“š AI News & Trends

If you’re a Python developer working with PDF documents whether it’s for text extraction, data analysis conversion or annotation then you’ve likely encountered the limitations of traditional tools. That’s where PyMuPDF also known as fitz, shines. It’s a lightweight, high-performance Python library that enables comprehensive PDF manipulation with minimal dependencies and maximum flexibility. In this ...

#PyMuPDF #PythonLibrary #PDFProcessing #TextExtraction #DataAnalysis #HighPerformance
πŸ€–πŸ§  Gamma PPT AI : Unlock Presentations in Minutes

πŸ—“οΈ 10 Oct 2025
πŸ“š AI News & Trends

In today’s fast-paced world, creating high-impact presentations can be a tedious, time-consuming process especially when you need beautiful visuals, crisp content and consistent branding. That’s where Gamma PPT AI comes in. It’s a tool that promises to transform how we make slide decks by letting AI handle design, layout and content generation. In this blog, ...

#GammaPPTAI #AIPresentations #PresentationTools #ArtificialIntelligence #DesignAutomation #SlideDeck
πŸ€–πŸ§  How oLLM Makes Large-Context AI Models Run Smoothly on 8GB GPUs

πŸ—“οΈ 11 Oct 2025
πŸ“š 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
πŸ€–πŸ§  ROMA: The Ultimate AI Framework That Lets You Build High-Performance Agents in Minutes

πŸ—“οΈ 11 Oct 2025
πŸ“š 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
πŸ€–πŸ§  15+ Gemini AI Photo Editing Prompts for Boys: Create Stunning Styles & Expressions in 2025

πŸ—“οΈ 11 Oct 2025
πŸ“š 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
πŸ€–πŸ§  Artificial Intelligence: A Modern Approach β€” The Ultimate Number 1 Guide to Learning AI by Stuart Russell and Peter Norvig

πŸ—“οΈ 12 Oct 2025
πŸ“š AI News & Trends

When it comes to learning artificial intelligence (AI), few resources hold as much authority as β€œArtificial Intelligence: A Modern Approach” by Stuart Russell and Peter Norvig. Often regarded as the β€œBible 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
πŸ€–πŸ§  Grok AI Chatbot (2025): Elon Musk’s Bold Answer to Real-Time, Intelligent Conversation

πŸ—“οΈ 12 Oct 2025
πŸ“š 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
πŸ”Ή Title: TAG:Tangential Amplifying Guidance for Hallucination-Resistant Diffusion Sampling

πŸ”Ή Publication Date: Published on Oct 6

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.04533
β€’ PDF: https://arxiv.org/pdf/2510.04533
β€’ Project Page: https://hyeon-cho.github.io/TAG/

πŸ”Ή Datasets citing this paper:
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πŸ”Ή Spaces citing this paper:
β€’ https://huggingface.co/spaces/hyeoncho01/Tangential-Amplifying-Guidance
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πŸ”Ή Title: ReviewerToo: Should AI Join The Program Committee? A Look At The Future of Peer Review

πŸ”Ή Publication Date: Published on Oct 9

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.08867
β€’ PDF: https://arxiv.org/pdf/2510.08867

πŸ”Ή Datasets citing this paper:
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πŸ”Ή Title: Don't Waste Mistakes: Leveraging Negative RL-Groups via Confidence Reweighting

πŸ”Ή Publication Date: Published on Oct 9

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.08696
β€’ PDF: https://arxiv.org/pdf/2510.08696

πŸ”Ή Datasets citing this paper:
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πŸ”Ή Title: StreamingVLM: Real-Time Understanding for Infinite Video Streams

πŸ”Ή Publication Date: Published on Oct 10

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.09608
β€’ PDF: https://arxiv.org/pdf/2510.09608
β€’ Github: https://github.com/mit-han-lab/streaming-vlm

πŸ”Ή Datasets citing this paper:
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πŸ”Ή Title: SpaceVista: All-Scale Visual Spatial Reasoning from mm to km

πŸ”Ή Publication Date: Published on Oct 10

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.09606
β€’ PDF: https://arxiv.org/pdf/2510.09606
β€’ Project Page: https://peiwensun2000.github.io/mm2km/
β€’ Github: https://github.com/PeiwenSun2000/SpaceVista

πŸ”Ή Datasets citing this paper:
β€’ https://huggingface.co/datasets/SpaceVista/Data-Preview

πŸ”Ή Spaces citing this paper:
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πŸ”Ή Title: Mind-Paced Speaking: A Dual-Brain Approach to Real-Time Reasoning in Spoken Language Models

πŸ”Ή Publication Date: Published on Oct 10

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.09592
β€’ PDF: https://arxiv.org/pdf/2510.09592
β€’ Github: https://github.com/stepfun-ai/Step-MPS

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

πŸ”Ή Publication Date: Published on Oct 10

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.09577
β€’ PDF: https://arxiv.org/pdf/2510.09577

πŸ”Ή Datasets citing this paper:
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πŸ”Ή Title: Pseudo2Real: Task Arithmetic for Pseudo-Label Correction in Automatic Speech Recognition

πŸ”Ή Publication Date: Published on Oct 9

πŸ”Ή Paper Links:
β€’ arXiv Page: https://www.arxiv.org/abs/2510.08047
β€’ PDF: https://arxiv.org/pdf/2510.08047

πŸ”Ή Datasets citing this paper:
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πŸ€–πŸ§  Try Powerful Mem0 AI to build Long-Term Memory for AI Agents

πŸ—“οΈ 12 Oct 2025
πŸ“š 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
πŸ”Ή Title: Thinking with Camera: A Unified Multimodal Model for Camera-Centric Understanding and Generation

πŸ”Ή Publication Date: Published on Oct 9

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.08673
β€’ PDF: https://arxiv.org/pdf/2510.08673
β€’ Project Page: https://kangliao929.github.io/projects/puffin/
β€’ Github: https://github.com/KangLiao929/Puffin

πŸ”Ή Datasets citing this paper:
β€’ https://huggingface.co/datasets/KangLiao/Puffin-4M

πŸ”Ή Spaces citing this paper:
β€’ https://huggingface.co/spaces/KangLiao/Puffin
β€’ https://huggingface.co/spaces/wusize/Puffin
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πŸ”Ή Title: Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels

πŸ”Ή Publication Date: Published on Oct 7

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.06499
β€’ PDF: https://arxiv.org/pdf/2510.06499
β€’ Project Page: https://huggingface.co/datasets/Salesforce/Webscale-RL
β€’ Github: https://github.com/SalesforceAIResearch/PretrainRL-pipeline

πŸ”Ή Datasets citing this paper:
β€’ https://huggingface.co/datasets/Salesforce/Webscale-RL

πŸ”Ή Spaces citing this paper:
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πŸ”Ή Title: Progressive Gaussian Transformer with Anisotropy-aware Sampling for Open Vocabulary Occupancy Prediction

πŸ”Ή Publication Date: Published on Oct 6

πŸ”Ή Paper Links:
β€’ arXiv Page: https://arxiv.org/abs/2510.04759
β€’ PDF: https://arxiv.org/pdf/2510.04759
β€’ Project Page: https://yanchi-3dv.github.io/PG-Occ/
β€’ Github: https://github.com/yanchi-3dv/PG-Occ

πŸ”Ή Datasets citing this paper:
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