Large Language Models

GPT, Claude, Gemini, and other LLMs

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Llms

Curated 550+ free AI tools useful for building projects (LLMs, APIs, local models, RAG, agents)

Over the last few days I was collecting free or low cost AI tools that are actually useful if you want to build stuff, not just try rando...

Reddit - Artificial Intelligence · 1 min ·
Claude Mythos and misguided open-weight fearmongering
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Claude Mythos and misguided open-weight fearmongering

AI Tools & Products · 9 min ·
Llms

Anthropic Agrees to Rent CoreWeave AI Capacity to Power Claude

AI Tools & Products · 1 min ·

All Content

[2510.19807] Scaf-GRPO: Scaffolded Group Relative Policy Optimization for Enhancing LLM Reasoning
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[2510.19807] Scaf-GRPO: Scaffolded Group Relative Policy Optimization for Enhancing LLM Reasoning

Abstract page for arXiv paper 2510.19807: Scaf-GRPO: Scaffolded Group Relative Policy Optimization for Enhancing LLM Reasoning

arXiv - Machine Learning · 4 min ·
[2511.02044] Regularization Through Reasoning: Systematic Improvements in Language Model Classification via Explanation-Enhanced Fine-Tuning
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[2511.02044] Regularization Through Reasoning: Systematic Improvements in Language Model Classification via Explanation-Enhanced Fine-Tuning

Abstract page for arXiv paper 2511.02044: Regularization Through Reasoning: Systematic Improvements in Language Model Classification via ...

arXiv - Machine Learning · 4 min ·
[2510.18871] How Do LLMs Use Their Depth?
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[2510.18871] How Do LLMs Use Their Depth?

Abstract page for arXiv paper 2510.18871: How Do LLMs Use Their Depth?

arXiv - AI · 4 min ·
[2510.18866] LightMem: Lightweight and Efficient Memory-Augmented Generation
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[2510.18866] LightMem: Lightweight and Efficient Memory-Augmented Generation

Abstract page for arXiv paper 2510.18866: LightMem: Lightweight and Efficient Memory-Augmented Generation

arXiv - Machine Learning · 4 min ·
[2511.00177] Can SAEs reveal and mitigate racial biases of LLMs in healthcare?
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[2511.00177] Can SAEs reveal and mitigate racial biases of LLMs in healthcare?

Abstract page for arXiv paper 2511.00177: Can SAEs reveal and mitigate racial biases of LLMs in healthcare?

arXiv - Machine Learning · 4 min ·
[2511.00405] UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings
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[2511.00405] UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings

Abstract page for arXiv paper 2511.00405: UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings

arXiv - Machine Learning · 4 min ·
[2510.18560] WebDevJudge: Evaluating (M)LLMs as Critiques for Web Development Quality
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[2510.18560] WebDevJudge: Evaluating (M)LLMs as Critiques for Web Development Quality

Abstract page for arXiv paper 2510.18560: WebDevJudge: Evaluating (M)LLMs as Critiques for Web Development Quality

arXiv - AI · 4 min ·
[2510.15905] Digital Companionship: Overlapping Uses of AI Companions and AI Assistants
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[2510.15905] Digital Companionship: Overlapping Uses of AI Companions and AI Assistants

Abstract page for arXiv paper 2510.15905: Digital Companionship: Overlapping Uses of AI Companions and AI Assistants

arXiv - AI · 4 min ·
[2510.21910] Adversarial Déjà Vu: Jailbreak Dictionary Learning for Stronger Generalization to Unseen Attacks
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[2510.21910] Adversarial Déjà Vu: Jailbreak Dictionary Learning for Stronger Generalization to Unseen Attacks

Abstract page for arXiv paper 2510.21910: Adversarial Déjà Vu: Jailbreak Dictionary Learning for Stronger Generalization to Unseen Attacks

arXiv - Machine Learning · 4 min ·
[2510.15863] PolySkill: Learning Generalizable Skills Through Polymorphic Abstraction
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[2510.15863] PolySkill: Learning Generalizable Skills Through Polymorphic Abstraction

Abstract page for arXiv paper 2510.15863: PolySkill: Learning Generalizable Skills Through Polymorphic Abstraction

arXiv - AI · 4 min ·
[2510.20264] Optimistic Task Inference for Behavior Foundation Models
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[2510.20264] Optimistic Task Inference for Behavior Foundation Models

Abstract page for arXiv paper 2510.20264: Optimistic Task Inference for Behavior Foundation Models

arXiv - Machine Learning · 4 min ·
[2510.21314] A Convergence Analysis of Adaptive Optimizers under Floating-point Quantization
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[2510.21314] A Convergence Analysis of Adaptive Optimizers under Floating-point Quantization

Abstract page for arXiv paper 2510.21314: A Convergence Analysis of Adaptive Optimizers under Floating-point Quantization

arXiv - Machine Learning · 4 min ·
[2510.13888] Reliable Fine-Grained Evaluation of Natural Language Math Proofs
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[2510.13888] Reliable Fine-Grained Evaluation of Natural Language Math Proofs

Abstract page for arXiv paper 2510.13888: Reliable Fine-Grained Evaluation of Natural Language Math Proofs

arXiv - AI · 4 min ·
[2510.17206] Soft-Masked Diffusion Language Models
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[2510.17206] Soft-Masked Diffusion Language Models

Abstract page for arXiv paper 2510.17206: Soft-Masked Diffusion Language Models

arXiv - Machine Learning · 4 min ·
[2510.18245] Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs
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[2510.18245] Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs

Abstract page for arXiv paper 2510.18245: Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs

arXiv - Machine Learning · 4 min ·
[2510.10066] OBsmith: LLM-Powered JavaScript Obfuscator Testing
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[2510.10066] OBsmith: LLM-Powered JavaScript Obfuscator Testing

Abstract page for arXiv paper 2510.10066: OBsmith: LLM-Powered JavaScript Obfuscator Testing

arXiv - AI · 4 min ·
[2510.09462] Adaptive Attacks on Trusted Monitors Subvert AI Control Protocols
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[2510.09462] Adaptive Attacks on Trusted Monitors Subvert AI Control Protocols

Abstract page for arXiv paper 2510.09462: Adaptive Attacks on Trusted Monitors Subvert AI Control Protocols

arXiv - Machine Learning · 4 min ·
[2510.13117] On the Reasoning Abilities of Masked Diffusion Language Models
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[2510.13117] On the Reasoning Abilities of Masked Diffusion Language Models

Abstract page for arXiv paper 2510.13117: On the Reasoning Abilities of Masked Diffusion Language Models

arXiv - Machine Learning · 3 min ·
[2510.07940] TTOM: Test-Time Optimization and Memorization for Compositional Video Generation
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[2510.07940] TTOM: Test-Time Optimization and Memorization for Compositional Video Generation

Abstract page for arXiv paper 2510.07940: TTOM: Test-Time Optimization and Memorization for Compositional Video Generation

arXiv - Machine Learning · 4 min ·
[2510.06377] Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data
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[2510.06377] Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data

Abstract page for arXiv paper 2510.06377: Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data

arXiv - Machine Learning · 4 min ·
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