π€π§ OpenAIβs AgentKit: Transforming How Developers Build and Deploy AI Agents
ποΈ 08 Oct 2025
π 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 OpenAIβs 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
ποΈ 08 Oct 2025
π 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 OpenAIβs 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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π€π§ Ling-1T by inclusionAI: The Future of Smarter, Faster and More Efficient AI Models
ποΈ 09 Oct 2025
π AI News & Trends
Artificial Intelligence is evolving at lightning speed and inclusionAIβs 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
ποΈ 09 Oct 2025
π AI News & Trends
Artificial Intelligence is evolving at lightning speed and inclusionAIβs 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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π€π§ PyMuPDF: The Ultimate Python Library for High-Performance PDF Processing
ποΈ 09 Oct 2025
π AI News & Trends
If youβre a Python developer working with PDF documents whether itβs for text extraction, data analysis conversion or annotation then youβve likely encountered the limitations of traditional tools. Thatβs where PyMuPDF also known as fitz, shines. Itβs 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
ποΈ 09 Oct 2025
π AI News & Trends
If youβre a Python developer working with PDF documents whether itβs for text extraction, data analysis conversion or annotation then youβve likely encountered the limitations of traditional tools. Thatβs where PyMuPDF also known as fitz, shines. Itβs 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
π€π§ Gamma PPT AI : Unlock Presentations in Minutes
ποΈ 10 Oct 2025
π AI News & Trends
In todayβs 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. Thatβs where Gamma PPT AI comes in. Itβs 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
ποΈ 10 Oct 2025
π AI News & Trends
In todayβs 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. Thatβs where Gamma PPT AI comes in. Itβs 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
π€π§ How oLLM Makes Large-Context AI Models Run Smoothly on 8GB GPUs
ποΈ 11 Oct 2025
π 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
ποΈ 11 Oct 2025
π 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
π€π§ ROMA: The Ultimate AI Framework That Lets You Build High-Performance Agents in Minutes
ποΈ 11 Oct 2025
π 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 ROMAβs architecture, technical capabilities, practical ...
#ROMA #AIFramework #MultiAgentSystems #ArtificialIntelligence #HighPerformanceAI #AgentBasedAI
ποΈ 11 Oct 2025
π 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 ROMAβs architecture, technical capabilities, practical ...
#ROMA #AIFramework #MultiAgentSystems #ArtificialIntelligence #HighPerformanceAI #AgentBasedAI
π€π§ 15+ Gemini AI Photo Editing Prompts for Boys: Create Stunning Styles & Expressions in 2025
ποΈ 11 Oct 2025
π 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 youβre curating ...
#GeminiAI #PhotoEditing #AIPrompts #PortraitPhotography #AIImageGeneration #BoysFashion
ποΈ 11 Oct 2025
π 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 youβre curating ...
#GeminiAI #PhotoEditing #AIPrompts #PortraitPhotography #AIImageGeneration #BoysFashion
π€π§ Artificial Intelligence: A Modern Approach β The Ultimate Number 1 Guide to Learning AI by Stuart Russell and Peter Norvig
ποΈ 12 Oct 2025
π AI News & Trends
When it comes to learning artificial intelligence (AI), few resources hold as much authority as βArtificial Intelligence: A Modern Approachβ by Stuart Russell and Peter Norvig. Often regarded as the βBible of AIβ, 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
ποΈ 12 Oct 2025
π AI News & Trends
When it comes to learning artificial intelligence (AI), few resources hold as much authority as βArtificial Intelligence: A Modern Approachβ by Stuart Russell and Peter Norvig. Often regarded as the βBible of AIβ, 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
π€π§ Grok AI Chatbot (2025): Elon Muskβs Bold Answer to Real-Time, Intelligent Conversation
ποΈ 12 Oct 2025
π 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 Muskβs company xAI. Grok isnβt just another virtual assistant; itβs a real-time intelligent system that combines deep reasoning with a unique, witty personality. What truly sets ...
#GrokAI #xAI #ConversationalAI #ElonMusk #RealTimeAI #IntelligentChatbot
ποΈ 12 Oct 2025
π 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 Muskβs company xAI. Grok isnβt just another virtual assistant; itβs a real-time intelligent system that combines deep reasoning with a unique, witty personality. What truly sets ...
#GrokAI #xAI #ConversationalAI #ElonMusk #RealTimeAI #IntelligentChatbot
πΉ Title: TAG:Tangential Amplifying Guidance for Hallucination-Resistant Diffusion Sampling
πΉ Publication Date: Published on Oct 6
πΉ 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/
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
β’ https://huggingface.co/spaces/hyeoncho01/Tangential-Amplifying-Guidance
==================================
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β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 6
πΉ 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/
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
β’ https://huggingface.co/spaces/hyeoncho01/Tangential-Amplifying-Guidance
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β https://t.me/DataScienceT
πΉ Title: ReviewerToo: Should AI Join The Program Committee? A Look At The Future of Peer Review
πΉ Publication Date: Published on Oct 9
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.08867
β’ PDF: https://arxiv.org/pdf/2510.08867
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 9
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.08867
β’ PDF: https://arxiv.org/pdf/2510.08867
πΉ Datasets citing this paper:
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πΉ Title: Don't Waste Mistakes: Leveraging Negative RL-Groups via Confidence Reweighting
πΉ Publication Date: Published on Oct 9
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.08696
β’ PDF: https://arxiv.org/pdf/2510.08696
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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πΉ Publication Date: Published on Oct 9
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.08696
β’ PDF: https://arxiv.org/pdf/2510.08696
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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πΉ Title: StreamingVLM: Real-Time Understanding for Infinite Video Streams
πΉ Publication Date: Published on Oct 10
πΉ 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
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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πΉ Publication Date: Published on Oct 10
πΉ 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
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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π1
πΉ Title: SpaceVista: All-Scale Visual Spatial Reasoning from mm to km
πΉ Publication Date: Published on Oct 10
πΉ 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
πΉ Datasets citing this paper:
β’ https://huggingface.co/datasets/SpaceVista/Data-Preview
πΉ Spaces citing this paper:
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β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 10
πΉ 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
πΉ Datasets citing this paper:
β’ https://huggingface.co/datasets/SpaceVista/Data-Preview
πΉ Spaces citing this paper:
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πΉ Title: Mind-Paced Speaking: A Dual-Brain Approach to Real-Time Reasoning in Spoken Language Models
πΉ Publication Date: Published on Oct 10
πΉ 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
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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πΉ Publication Date: Published on Oct 10
πΉ 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
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
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πΉ Title: Dyna-Mind: Learning to Simulate from Experience for Better AI Agents
πΉ Publication Date: Published on Oct 10
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.09577
β’ PDF: https://arxiv.org/pdf/2510.09577
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 10
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.09577
β’ PDF: https://arxiv.org/pdf/2510.09577
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
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πΉ Title: Pseudo2Real: Task Arithmetic for Pseudo-Label Correction in Automatic Speech Recognition
πΉ Publication Date: Published on Oct 9
πΉ Paper Links:
β’ arXiv Page: https://www.arxiv.org/abs/2510.08047
β’ PDF: https://arxiv.org/pdf/2510.08047
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
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πΉ Publication Date: Published on Oct 9
πΉ Paper Links:
β’ arXiv Page: https://www.arxiv.org/abs/2510.08047
β’ PDF: https://arxiv.org/pdf/2510.08047
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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π€π§ Try Powerful Mem0 AI to build Long-Term Memory for AI Agents
ποΈ 12 Oct 2025
π 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
ποΈ 12 Oct 2025
π 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
πΉ Title: Thinking with Camera: A Unified Multimodal Model for Camera-Centric Understanding and Generation
πΉ Publication Date: Published on Oct 9
πΉ 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
πΉ Datasets citing this paper:
β’ https://huggingface.co/datasets/KangLiao/Puffin-4M
πΉ Spaces citing this paper:
β’ https://huggingface.co/spaces/KangLiao/Puffin
β’ https://huggingface.co/spaces/wusize/Puffin
==================================
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β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 9
πΉ 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
πΉ Datasets citing this paper:
β’ https://huggingface.co/datasets/KangLiao/Puffin-4M
πΉ Spaces citing this paper:
β’ https://huggingface.co/spaces/KangLiao/Puffin
β’ https://huggingface.co/spaces/wusize/Puffin
==================================
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β https://t.me/DataScienceT
πΉ Title: Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels
πΉ Publication Date: Published on Oct 7
πΉ 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
πΉ Datasets citing this paper:
β’ https://huggingface.co/datasets/Salesforce/Webscale-RL
πΉ Spaces citing this paper:
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πΉ Publication Date: Published on Oct 7
πΉ 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
πΉ Datasets citing this paper:
β’ https://huggingface.co/datasets/Salesforce/Webscale-RL
πΉ Spaces citing this paper:
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πΉ Title: Progressive Gaussian Transformer with Anisotropy-aware Sampling for Open Vocabulary Occupancy Prediction
πΉ Publication Date: Published on Oct 6
πΉ 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
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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πΉ Publication Date: Published on Oct 6
πΉ 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
πΉ Datasets citing this paper:
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πΉ Spaces citing this paper:
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