LangGraph: Building a Self-Correcting RAG Agent for Code Generation Ready to level up your AI workflows? In our latest #LangGraph post, we built a self-correcting RAG agent that writes Python code with Hugging Face Diffusers, runs it, learns from errors, and iterates until
MACHINE LEARNING
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Build a GPT-like Large Language Model from Scratch
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Build a Large Language Model from scratch! This repository contains the code for developing, pretraining, and finetuning a GPT-like large language model. 100% Free & Open Source
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ScenePainter: Semantic 3D Scene Generation with Concept Alignment
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ScenePainter
— AK (@_akhaliq) 29 juillet 2025
Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment pic.twitter.com/b2YjOBLIl5ScenePainter Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment
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Flow Matching Policy Gradients: Advanced Deep Learning Research
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Flow Matching Policy Gradients McAllister et al.: https://
arxiv.org/abs/2507.21053 #ArtificialIntelligence #DeepLearning #MachineLearning -
Interpretability-Aware Pruning for Efficient Medical Image Analysis
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🚨 New Research Published! Interpretability-Aware Pruning for Efficient Medical Image Analysis is now live on arXiv. 🔬 Compress deep models using attribution methods without losing accuracy or trust. 📄 Read here: arxiv.org/abs/2507.08330 🎧 Podcast: aryaxai.com/research-papers/…
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Google SensorLM: Multimodal Sensor-Language Foundation Models for Health
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Google Research introduced SensorLM, a family of sensor-language foundation models trained on ~60M hours of data
— The Rundown AI (@TheRundownAI) 29 juillet 2025
They connect multimodal wearable sensor signals to natural language for a deeper understanding of our health and activitiespic.twitter.com/yaiWp8RrtyGoogle Research introduced SensorLM, a family of sensor-language foundation models trained on ~60M hours of data They connect multimodal wearable sensor signals to natural language for a deeper understanding of our health and activities
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GLM-4.5: Advanced AI Model for Reasoning and Coding
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Explore the cutting-edge capabilities of http://
Z.ai’s GLM-4.5, a state-of-the-art AI model designed for advanced reasoning and efficient coding. Access detailed documentation and models here -> https://
shorturl.at/GKKHS Follow us @futurepedia_io for fresh AI tools -
GLM-4.5: Efficient 355B Parameter Language Model
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GLM-4.5: Power Meets Precision
Boasting 355 billion parameters with 32 billion active at runtime, GLM-4.5 delivers top-tier performance at a fraction of the cost. Its Mixture-of-Experts design activates only the necessary parameters, ensuring efficiency without compromising -
Zai Unveils GLM-4.5: Advanced AI Model for Autonomous Reasoning
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🚨A Chinese research lab, Zai, has unveiled a powerful new model GLM-4.5
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 29 juillet 2025
Not just another AI model—it's a leap into the next era of autonomous reasoning, coding, and agentic intelligence.
With a hybrid architecture and 128K token context, it's engineered to think, plan, and… pic.twitter.com/NVZP1dNg1fA Chinese research lab, Zai, has unveiled a powerful new model GLM-4.5 Not just another AI model—it's a leap into the next era of autonomous reasoning, coding, and agentic intelligence. With a hybrid architecture and 128K token context, it's engineered to think, plan, and
