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Why I want agents to choose their memory rules, not hide them
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Why I want a robot to remember how a team worked before
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Why I care about learning which symbolic facts should persist
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Why I wanted a lightweight, local-first way to use ArcadeDB from Python
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Formal basics, real systems, and why industry favors property graphs while RDF remains important
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Understanding the evolution from basic policy gradients to modern LLM fine-tuning algorithms
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Understanding the evolution of generative models through practical implementations
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Balancing n-gram models and neural networks for next-token prediction
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Bridging Reinforcement Learning and Supervised Learning in LLMs
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A Deep Dive into MLE, Loss Functions, and Beyond
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Offline RL, Behavior Cloning, and The Magic of Sequence Modeling
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Tracing the Layers from Machine Code to Natural Language Interfaces
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Why Frequentist Significance Testing Falls Short
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A natural language text can be seen as a knowledge graph
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The reason why reinforcement learning is such a hard problem
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4bit quantization is amazing
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Exploring the challenges and strategies for effective edge classification with graph neural networks (GNNs)
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Can machines think like us?
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This really can do a lot of things, although it's still biased.
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My boring old website had to be gone.
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Unlocking the power of open-source language models
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A simple room classifier made using EfficientNet and PyTorch Lightning
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Revolutionizing NLP with a collaborative hub for crafting and sharing prompts
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We won the NeurIPS 2021 competition
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Achieving superior zero-shot generalization through explicit multitask prompting
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Achieving state-of-the-rrt emotion recognition in conversations with a simple RoBERTa-based approach
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A simple age-gender classification model using Arcface embeddings and MLPs