Large Language Models

GPT, Claude, Gemini, and other LLMs

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Llms

The person who replaces you probably won't be AI. It'll be someone from the next department over who learned to use it - opinion/discussion

I'm a strategy person by background. Two years ago I'd write a recommendation and hand it to a product team. Now.. I describe what I want...

Reddit - Artificial Intelligence · 1 min ·
Block Resets Management With AI As Cash App Adds Installment Transfers
Llms

Block Resets Management With AI As Cash App Adds Installment Transfers

Block (NYSE:XYZ) plans a permanent organizational overhaul that replaces many middle management roles with AI-driven models to create fla...

AI Tools & Products · 5 min ·
Anthropic leaks source code for its AI coding agent Claude
Llms

Anthropic leaks source code for its AI coding agent Claude

Anthropic accidentally exposed roughly 512,000 lines of proprietary TypeScript source code for its AI-powered coding agent Claude Code

AI Tools & Products · 3 min ·

All Content

[2603.19347] Exploring the Agentic Frontier of Verilog Code Generation
Llms

[2603.19347] Exploring the Agentic Frontier of Verilog Code Generation

Abstract page for arXiv paper 2603.19347: Exploring the Agentic Frontier of Verilog Code Generation

arXiv - Machine Learning · 4 min ·
[2603.19261] Significance-Gain Pair Encoding for LLMs: A Statistical Alternative to Frequency-Based Subword Merging
Llms

[2603.19261] Significance-Gain Pair Encoding for LLMs: A Statistical Alternative to Frequency-Based Subword Merging

Abstract page for arXiv paper 2603.19261: Significance-Gain Pair Encoding for LLMs: A Statistical Alternative to Frequency-Based Subword ...

arXiv - Machine Learning · 3 min ·
[2603.20132] Revisiting Gene Ontology Knowledge Discovery with Hierarchical Feature Selection and Virtual Study Group of AI Agents
Llms

[2603.20132] Revisiting Gene Ontology Knowledge Discovery with Hierarchical Feature Selection and Virtual Study Group of AI Agents

Abstract page for arXiv paper 2603.20132: Revisiting Gene Ontology Knowledge Discovery with Hierarchical Feature Selection and Virtual St...

arXiv - Machine Learning · 3 min ·
[2603.19935] Memori: A Persistent Memory Layer for Efficient, Context-Aware LLM Agents
Llms

[2603.19935] Memori: A Persistent Memory Layer for Efficient, Context-Aware LLM Agents

Abstract page for arXiv paper 2603.19935: Memori: A Persistent Memory Layer for Efficient, Context-Aware LLM Agents

arXiv - Machine Learning · 3 min ·
[2603.19835] FIPO: Eliciting Deep Reasoning with Future-KL Influenced Policy Optimization
Llms

[2603.19835] FIPO: Eliciting Deep Reasoning with Future-KL Influenced Policy Optimization

Abstract page for arXiv paper 2603.19835: FIPO: Eliciting Deep Reasoning with Future-KL Influenced Policy Optimization

arXiv - Machine Learning · 4 min ·
[2603.19742] Dual Path Attribution: Efficient Attribution for SwiGLU-Transformers through Layer-Wise Target Propagation
Llms

[2603.19742] Dual Path Attribution: Efficient Attribution for SwiGLU-Transformers through Layer-Wise Target Propagation

Abstract page for arXiv paper 2603.19742: Dual Path Attribution: Efficient Attribution for SwiGLU-Transformers through Layer-Wise Target ...

arXiv - Machine Learning · 3 min ·
[2603.19741] FedPDPO: Federated Personalized Direct Preference Optimization for Large Language Model Alignment
Llms

[2603.19741] FedPDPO: Federated Personalized Direct Preference Optimization for Large Language Model Alignment

Abstract page for arXiv paper 2603.19741: FedPDPO: Federated Personalized Direct Preference Optimization for Large Language Model Alignment

arXiv - Machine Learning · 4 min ·
[2603.19611] Demonstrations, CoT, and Prompting: A Theoretical Analysis of ICL
Llms

[2603.19611] Demonstrations, CoT, and Prompting: A Theoretical Analysis of ICL

Abstract page for arXiv paper 2603.19611: Demonstrations, CoT, and Prompting: A Theoretical Analysis of ICL

arXiv - Machine Learning · 4 min ·
[2603.19564] Wearable Foundation Models Should Go Beyond Static Encoders
Llms

[2603.19564] Wearable Foundation Models Should Go Beyond Static Encoders

Abstract page for arXiv paper 2603.19564: Wearable Foundation Models Should Go Beyond Static Encoders

arXiv - Machine Learning · 4 min ·
[2603.19562] Neural Uncertainty Principle: A Unified View of Adversarial Fragility and LLM Hallucination
Llms

[2603.19562] Neural Uncertainty Principle: A Unified View of Adversarial Fragility and LLM Hallucination

Abstract page for arXiv paper 2603.19562: Neural Uncertainty Principle: A Unified View of Adversarial Fragility and LLM Hallucination

arXiv - Machine Learning · 4 min ·
[2603.19544] Scalable Cross-Facility Federated Learning for Scientific Foundation Models on Multiple Supercomputers
Llms

[2603.19544] Scalable Cross-Facility Federated Learning for Scientific Foundation Models on Multiple Supercomputers

Abstract page for arXiv paper 2603.19544: Scalable Cross-Facility Federated Learning for Scientific Foundation Models on Multiple Superco...

arXiv - Machine Learning · 4 min ·
[2603.19486] Any-Subgroup Equivariant Networks via Symmetry Breaking
Llms

[2603.19486] Any-Subgroup Equivariant Networks via Symmetry Breaking

Abstract page for arXiv paper 2603.19486: Any-Subgroup Equivariant Networks via Symmetry Breaking

arXiv - Machine Learning · 4 min ·
[2603.19460] GeoLAN: Geometric Learning of Latent Explanatory Directions in Large Language Models
Llms

[2603.19460] GeoLAN: Geometric Learning of Latent Explanatory Directions in Large Language Models

Abstract page for arXiv paper 2603.19460: GeoLAN: Geometric Learning of Latent Explanatory Directions in Large Language Models

arXiv - Machine Learning · 3 min ·
[2603.19360] Warm-Start Flow Matching for Guaranteed Fast Text/Image Generation
Llms

[2603.19360] Warm-Start Flow Matching for Guaranteed Fast Text/Image Generation

Abstract page for arXiv paper 2603.19360: Warm-Start Flow Matching for Guaranteed Fast Text/Image Generation

arXiv - Machine Learning · 4 min ·
[2603.19348] Anatomical Heterogeneity in Transformer Language Models
Llms

[2603.19348] Anatomical Heterogeneity in Transformer Language Models

Abstract page for arXiv paper 2603.19348: Anatomical Heterogeneity in Transformer Language Models

arXiv - Machine Learning · 3 min ·
[2603.19296] TTQ: Activation-Aware Test-Time Quantization to Accelerate LLM Inference On The Fly
Llms

[2603.19296] TTQ: Activation-Aware Test-Time Quantization to Accelerate LLM Inference On The Fly

Abstract page for arXiv paper 2603.19296: TTQ: Activation-Aware Test-Time Quantization to Accelerate LLM Inference On The Fly

arXiv - Machine Learning · 3 min ·
[2603.19297] CLaRE-ty Amid Chaos: Quantifying Representational Entanglement to Predict Ripple Effects in LLM Editing
Llms

[2603.19297] CLaRE-ty Amid Chaos: Quantifying Representational Entanglement to Predict Ripple Effects in LLM Editing

Abstract page for arXiv paper 2603.19297: CLaRE-ty Amid Chaos: Quantifying Representational Entanglement to Predict Ripple Effects in LLM...

arXiv - Machine Learning · 4 min ·
[2603.18377] PlanTwin: Privacy-Preserving Planning Abstractions for Cloud-Assisted LLM Agents
Llms

[2603.18377] PlanTwin: Privacy-Preserving Planning Abstractions for Cloud-Assisted LLM Agents

Abstract page for arXiv paper 2603.18377: PlanTwin: Privacy-Preserving Planning Abstractions for Cloud-Assisted LLM Agents

arXiv - AI · 4 min ·
[2603.18196] Retrieval-Augmented LLMs for Security Incident Analysis
Llms

[2603.18196] Retrieval-Augmented LLMs for Security Incident Analysis

Abstract page for arXiv paper 2603.18196: Retrieval-Augmented LLMs for Security Incident Analysis

arXiv - AI · 4 min ·
[2603.18123] Understanding Task Aggregation for Generalizable Ultrasound Foundation Models
Llms

[2603.18123] Understanding Task Aggregation for Generalizable Ultrasound Foundation Models

Abstract page for arXiv paper 2603.18123: Understanding Task Aggregation for Generalizable Ultrasound Foundation Models

arXiv - AI · 4 min ·
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