Author: Hunter
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Qwen AI Releases Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M: Allowing Deployment with Context Length up to 1M Tokens
The advancements in large language models (LLMs) have significantly enhanced natural language processing (NLP), enabling capabilities like contextual understanding, code generation, and reasoning. However, a key limitation persists: the restricted context window size. Most LLMs can only process a fixed amount of text, typically up to 128K tokens, which limits their ability to handle tasks… Read more
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Autonomy-of-Experts (AoE): A Router-Free Paradigm for Efficient and Adaptive Mixture-of-Experts Models
Mixture-of-Experts (MoE) models utilize a router to allocate tokens to specific expert modules, activating only a subset of parameters, often leading to superior efficiency and performance compared to dense models. In these models, a large feed-forward network is divided into smaller expert networks, with the router—typically an MLP classifier—determining which expert processes each input. However,… Read more
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Meet Open R1: The Full Open Reproduction of DeepSeek-R1, Challenging the Status Quo of Existing Proprietary LLMs
Open Source LLM development is going through great change through fully reproducing and open-sourcing DeepSeek-R1, including training data, scripts, etc. Hosted on Hugging Face’s platform, this ambitious project is designed to replicate and enhance the R1 pipeline. It emphasizes collaboration, transparency, and accessibility, enabling researchers and developers worldwide to build on DeepSeek-R1’s foundational work. What… Read more
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We asked OpenAI’s o1 about the top AI trends in 2025 — here’s a look into our conversation
Here’s what OpenAI’s o1 had to say about AI trends this year. Just how many there are is a testament to AI’s general-purpose value. Read More Read more
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Netflix Introduces Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise
Generative modeling challenges in motion-controllable video generation present significant research hurdles. Current approaches in video generation struggle with precise motion control across diverse scenarios. The field uses three primary motion control techniques: local object motion control using bounding boxes or masks, global camera movement parameterization, and motion transfer from reference videos. Despite these approaches, researchers… Read more
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Google DeepMind Introduces MONA: A Novel Machine Learning Framework to Mitigate Multi-Step Reward Hacking in Reinforcement Learning
Reinforcement learning (RL) focuses on enabling agents to learn optimal behaviors through reward-based training mechanisms. These methods have empowered systems to tackle increasingly complex tasks, from mastering games to addressing real-world problems. However, as the complexity of these tasks increases, so does the potential for agents to exploit reward systems in unintended ways, creating new… Read more
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How to Use Stolen Device Protection on Apple’s iPhone
Whether you’re worried about a new iPhone or the Apple smartphone you’ve had for ages, activating Stolen Device Protection can limit what thieves can access. Read more
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This New Designer Kitchen Tool Is Just a Stick. So Why Are We Obsessed With It?
Stir with it, flip with it, cook with it—a Danish kitchenware studio has reinvented man’s OG tool. Read more
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‘Reflecting New York’ Holds a Mirror Up to NYC
A series from photographer Sefan Falke captures iconic views of New York City’s boroughs both coming and going. Read more
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The Lush Bath Bot Is a Vegan, Recyclable Floating Speaker That’s Out to Make a Point
When the cosmetics brand decided to make a Bluetooth speaker, it didn’t know how hard it would be to make it sustainably. The next challenge: Will anyone actually buy it? Read more