Large Language Models

GPT, Claude, Gemini, and other LLMs

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Llms

What is the basic minimum while you prompt

I have realised Claude answers as best as you prompt it. And I suck at it. πŸ˜‚ I have tried role playing you are top 1% etc and adding cons...

Reddit - Artificial Intelligence · 1 min ·
Llms

We open-sourced our AI agent config management tool β€” 888 stars, nearly 100 forks β€” requesting community feedback

We've been building Caliber to solve AI agent configuration management and released our full setup as open source. The response has been ...

Reddit - Artificial Intelligence · 1 min ·
Llms

"Prompt Engineering" certs are a joke. So we built a FREE Agentic AI Practitioner Exam that actually forces you to build working swarms to pass.

Hey Everyone, If you look at the AI education space right now, it’s flooded with basic "Prompt Engineering" certificates that you can pas...

Reddit - Artificial Intelligence · 1 min ·

All Content

[2506.15872] Hidden Breakthroughs in Language Model Training
Llms

[2506.15872] Hidden Breakthroughs in Language Model Training

Abstract page for arXiv paper 2506.15872: Hidden Breakthroughs in Language Model Training

arXiv - Machine Learning · 3 min ·
[2508.11999] MOON: Generative MLLM-based Multimodal Representation Learning for E-commerce Product Understanding
Llms

[2508.11999] MOON: Generative MLLM-based Multimodal Representation Learning for E-commerce Product Understanding

Abstract page for arXiv paper 2508.11999: MOON: Generative MLLM-based Multimodal Representation Learning for E-commerce Product Understan...

arXiv - Machine Learning · 4 min ·
[2508.06526] PiKV: KV Cache Management System for Mixture of Experts
Llms

[2508.06526] PiKV: KV Cache Management System for Mixture of Experts

Abstract page for arXiv paper 2508.06526: PiKV: KV Cache Management System for Mixture of Experts

arXiv - AI · 4 min ·
[2506.15307] SecP-Tuning: Efficient Privacy-Preserving Prompt Tuning for Large Language Models via MPC
Llms

[2506.15307] SecP-Tuning: Efficient Privacy-Preserving Prompt Tuning for Large Language Models via MPC

Abstract page for arXiv paper 2506.15307: SecP-Tuning: Efficient Privacy-Preserving Prompt Tuning for Large Language Models via MPC

arXiv - Machine Learning · 4 min ·
[2506.14003] Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs
Llms

[2506.14003] Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs

Abstract page for arXiv paper 2506.14003: Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs

arXiv - Machine Learning · 4 min ·
[2507.15852] Advancing Complex Video Object Segmentation via Progressive Concept Construction
Llms

[2507.15852] Advancing Complex Video Object Segmentation via Progressive Concept Construction

Abstract page for arXiv paper 2507.15852: Advancing Complex Video Object Segmentation via Progressive Concept Construction

arXiv - AI · 4 min ·
[2507.04219] Model Collapse Is Not a Bug but a Feature in Machine Unlearning for LLMs
Llms

[2507.04219] Model Collapse Is Not a Bug but a Feature in Machine Unlearning for LLMs

Abstract page for arXiv paper 2507.04219: Model Collapse Is Not a Bug but a Feature in Machine Unlearning for LLMs

arXiv - Machine Learning · 4 min ·
[2506.02939] QKV Projections Require a Fraction of Their Memory
Llms

[2506.02939] QKV Projections Require a Fraction of Their Memory

Abstract page for arXiv paper 2506.02939: QKV Projections Require a Fraction of Their Memory

arXiv - Machine Learning · 3 min ·
[2506.20666] Cognitive models can reveal interpretable value trade-offs in language models
Llms

[2506.20666] Cognitive models can reveal interpretable value trade-offs in language models

Abstract page for arXiv paper 2506.20666: Cognitive models can reveal interpretable value trade-offs in language models

arXiv - AI · 4 min ·
[2506.18841] LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning
Llms

[2506.18841] LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning

Abstract page for arXiv paper 2506.18841: LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning

arXiv - AI · 4 min ·
[2505.19590] Learning to Reason without External Rewards
Llms

[2505.19590] Learning to Reason without External Rewards

Abstract page for arXiv paper 2505.19590: Learning to Reason without External Rewards

arXiv - Machine Learning · 3 min ·
[2506.13474] Language Agents for Hypothesis-driven Clinical Decision Making with Reinforcement Learning
Llms

[2506.13474] Language Agents for Hypothesis-driven Clinical Decision Making with Reinforcement Learning

Abstract page for arXiv paper 2506.13474: Language Agents for Hypothesis-driven Clinical Decision Making with Reinforcement Learning

arXiv - Machine Learning · 4 min ·
[2506.15498] SPARE: Single-Pass Annotation with Reference-Guided Evaluation for Automatic Process Supervision and Reward Modelling
Llms

[2506.15498] SPARE: Single-Pass Annotation with Reference-Guided Evaluation for Automatic Process Supervision and Reward Modelling

Abstract page for arXiv paper 2506.15498: SPARE: Single-Pass Annotation with Reference-Guided Evaluation for Automatic Process Supervisio...

arXiv - Machine Learning · 4 min ·
[2505.18116] NFT: Bridging Supervised Learning and Reinforcement Learning in Math Reasoning
Llms

[2505.18116] NFT: Bridging Supervised Learning and Reinforcement Learning in Math Reasoning

Abstract page for arXiv paper 2505.18116: NFT: Bridging Supervised Learning and Reinforcement Learning in Math Reasoning

arXiv - Machine Learning · 4 min ·
[2506.10085] VITA: Zero-Shot Value Functions via Test-Time Adaptation of Vision-Language Models
Llms

[2506.10085] VITA: Zero-Shot Value Functions via Test-Time Adaptation of Vision-Language Models

Abstract page for arXiv paper 2506.10085: VITA: Zero-Shot Value Functions via Test-Time Adaptation of Vision-Language Models

arXiv - AI · 4 min ·
[2505.16122] Plan and Budget: Effective and Efficient Test-Time Scaling on Reasoning Large Language Models
Llms

[2505.16122] Plan and Budget: Effective and Efficient Test-Time Scaling on Reasoning Large Language Models

Abstract page for arXiv paper 2505.16122: Plan and Budget: Effective and Efficient Test-Time Scaling on Reasoning Large Language Models

arXiv - Machine Learning · 4 min ·
[2505.14042] Adversarially Pretrained Transformers May Be Universally Robust In-Context Learners
Llms

[2505.14042] Adversarially Pretrained Transformers May Be Universally Robust In-Context Learners

Abstract page for arXiv paper 2505.14042: Adversarially Pretrained Transformers May Be Universally Robust In-Context Learners

arXiv - Machine Learning · 4 min ·
[2506.08902] Intention-Conditioned Flow Occupancy Models
Llms

[2506.08902] Intention-Conditioned Flow Occupancy Models

Abstract page for arXiv paper 2506.08902: Intention-Conditioned Flow Occupancy Models

arXiv - Machine Learning · 4 min ·
[2506.06683] RoboPARA: Dual-Arm Robot Planning with Parallel Allocation and Recomposition Across Tasks
Llms

[2506.06683] RoboPARA: Dual-Arm Robot Planning with Parallel Allocation and Recomposition Across Tasks

Abstract page for arXiv paper 2506.06683: RoboPARA: Dual-Arm Robot Planning with Parallel Allocation and Recomposition Across Tasks

arXiv - AI · 4 min ·
[2506.03135] OmniSpatial: Towards Comprehensive Spatial Reasoning Benchmark for Vision Language Models
Llms

[2506.03135] OmniSpatial: Towards Comprehensive Spatial Reasoning Benchmark for Vision Language Models

Abstract page for arXiv paper 2506.03135: OmniSpatial: Towards Comprehensive Spatial Reasoning Benchmark for Vision Language Models

arXiv - AI · 4 min ·
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