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A Coding Guide to Build a Functional Data Analysis Workflow Using Lilac for Transforming, Filtering, and Exporting Structured Insights
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A Coding Guide to Build a Functional Data Analysis Workflow Using Lilac for Transforming, Filtering, and Exporting Structured Insights

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In this tutorial, we demonstrate a fully functional and modular data analysis pipeline using the Lilac library, without relying on […]

UC San Diego Researchers Introduced Dex1B: A Billion-Scale Dataset for Dexterous Hand Manipulation in Robotics
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UC San Diego Researchers Introduced Dex1B: A Billion-Scale Dataset for Dexterous Hand Manipulation in Robotics

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Challenges in Dexterous Hand Manipulation Data Collection Creating large-scale data for dexterous hand manipulation remains a major challenge in robotics. […]

Tencent Open Sources Hunyuan-A13B: A 13B Active Parameter MoE Model with Dual-Mode Reasoning and 256K Context
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Tencent Open Sources Hunyuan-A13B: A 13B Active Parameter MoE Model with Dual-Mode Reasoning and 256K Context

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Tencent’s Hunyuan team has introduced Hunyuan-A13B, a new open-source large language model built on a sparse Mixture-of-Experts (MoE) architecture. While […]

Alibaba Qwen Team Releases Qwen-VLo: A Unified Multimodal Understanding and Generation Model
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Alibaba Qwen Team Releases Qwen-VLo: A Unified Multimodal Understanding and Generation Model

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The Alibaba Qwen team has introduced Qwen-VLo, a new addition to its Qwen model family, designed to unify multimodal understanding […]

Getting Started with MLFlow for LLM Evaluation
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Getting Started with MLFlow for LLM Evaluation

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MLflow is a powerful open-source platform for managing the machine learning lifecycle. While it’s traditionally used for tracking model experiments, […]

Unbabel Introduces TOWER+: A Unified Framework for High-Fidelity Translation and Instruction-Following in Multilingual LLMs
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Unbabel Introduces TOWER+: A Unified Framework for High-Fidelity Translation and Instruction-Following in Multilingual LLMs

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Large language models have driven progress in machine translation, leveraging massive training corpora to translate dozens of languages and dialects […]

Polaris-4B and Polaris-7B: Post-Training Reinforcement Learning for Efficient Math and Logic Reasoning
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Polaris-4B and Polaris-7B: Post-Training Reinforcement Learning for Efficient Math and Logic Reasoning

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The Rising Need for Scalable Reasoning Models in Machine Intelligence Advanced reasoning models are at the frontier of machine intelligence, […]

GURU: A Reinforcement Learning Framework that Bridges LLM Reasoning Across Six Domains
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GURU: A Reinforcement Learning Framework that Bridges LLM Reasoning Across Six Domains

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Limitations of Reinforcement Learning in Narrow Reasoning Domains Reinforcement Learning RL has demonstrated strong potential to enhance the reasoning capabilities […]

Google AI Releases Gemma 3n: A Compact Multimodal Model Built for Edge Deployment
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Google AI Releases Gemma 3n: A Compact Multimodal Model Built for Edge Deployment

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Google has introduced Gemma 3n, a new addition to its family of open models, designed to bring large multimodal AI […]

Inception Labs Introduces Mercury: A Diffusion-Based Language Model for Ultra-Fast Code Generation
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Inception Labs Introduces Mercury: A Diffusion-Based Language Model for Ultra-Fast Code Generation

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Generative AI and Its Challenges in Autoregressive Code Generation The field of generative artificial intelligence has significantly impacted software development […]

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