“What could be done to improve this? I'm halfway wondering if I train a neural network such that the embeddings (i.e. Doc2Vec vectors) without dimensionality reduction as input and the targets are after all the labels if that'd improve things, but it feels a little 'hopeless' given the chart here.”

“This article helps you navigate the exciting world of Claude Code Skills by selecting and categorizing 9 essential skills.”

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“While security for text-based LLMs is an active area of research, existing solutions are often insufficient to address the unique threats for the embodied robotic agents, where malicious outputs manifest not merely as harmful text but as dangerous physical actions.”

“Agent Skills are powerful tools for automating routine tasks and freeing up creative time. This article introduces a total of 22 use cases (+2 bonus cases), including 10 for development, 10 for content creation/creative, and 2 for documentation/knowledge management.”

“The AHA framework, leveraging counterfactual hard negative mining, constructs a high-quality preference dataset that forces models to distinguish strict acoustic evidence from linguistically plausible fabrications.”

“The evaluation results show that after applying parallelization with the proposed framework, all patterns show a reduction in execution time, confirming the effectiveness of parallelization.”

“The framework operates by analyzing deviations in system outputs and behaviors, which are then categorized into three groups: physical, control, and measurement contingencies.”

“Automatically scrapes documentation websites and converts them into organized, categorized reference files with extracted code examples.”

“Would you call this “machine learning,” or a physics data visualization that uses ML pieces?”

“The paper defines five types of heterogeneity, proposes a 'heterogeneity distance' for quantification, and demonstrates a dynamic parameter sharing algorithm based on this methodology.”

“Space AI can accelerate humanity's capability to explore and operate in space, while translating advances in sensing, robotics, optimisation, and trustworthy AI into broad societal impact on Earth.”

“Share what your favorite models are right now and why.”

“本書は、主要なAIエージェント開発ツールを調査し、技術的観点から分類し、それぞれの概要と基本仕様を提示するリファレンスである。”

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“The article suggests the use of "Large Discourse Models (LDM)" and "Artificial Discursive Agent (ADA)."”

“The study examines new security issues across AI4Code use cases.”

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“The article's specific methodology and experimental results would provide a more detailed understanding of its contributions. Further analysis would require access to the full text.”

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“The paper presents a detailed taxonomy of harms related to LLMs.”

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“The article focuses on financial text classification using rLoRA finetuning on the Qwen3-8B model.”

“The paper focuses on the taxonomy and analysis of cultural representations in LLM-generated stories.”

“The research focuses on creating a comprehensive taxonomy-guided benchmark.”

“The research is based on ArXiv.”

“If we consider the pre-training data corpus as a proxy for world knowledge, we essentially try to ensure the model output is factual and verifiable by external world knowledge.”

“My takeaway is that I'll be using LLMs as function call way more in the future. This isn't "generative" AI, more "programmatic" AI perhaps?”

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“The article likely discusses using machine learning.”

“John and I discuss his work on Primer Science, a tool that harvests content uploaded to arxiv, sorts it into natural topics using unsupervised learning, then gives relevant summaries of the activity happening in different innovation areas.”

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