Natural Language Processing

Text understanding and language tasks

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Nlp

What does your AI bot buddy really think of you?

Try out this prompt and let us know if you find the response to be unsettling. (Hint: you should) Prompt: You have been maintaining an in...

Reddit - Artificial Intelligence · 1 min ·
Nlp

Persistent memory MCP server for AI agents (MCP + REST)

Pluribus is a memory service for agents (MCP + HTTP, Postgres-backed) that stores structured memory: constraints, decisions, patterns, an...

Reddit - Artificial Intelligence · 1 min ·
Machine Learning

[P] Unix philosophy for ML pipelines: modular, swappable stages with typed contracts

We built an open-source prototype that applies Unix philosophy to retrieval pipelines. Each stage (PII redaction, chunking, dedup, embedd...

Reddit - Machine Learning · 1 min ·

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Nlp

AMD engineer leverages AI to help make a pure-Python AMD GPU user-space driver

submitted by /u/Fcking_Chuck [link] [comments]

Reddit - Artificial Intelligence · 1 min ·
Llms

πŸš€ OllamaFX v0.5.0 ya disponible!

Ollama FX es una interfaz de escritorio Open Source para Ollama con grandes mejoras en gestiΓ³n de chats, RAG, multimodalidad y organizaci...

Reddit - Artificial Intelligence · 1 min ·
Nlp

Using AI With Deep Knowledge From 37 Academic Books Using Graph RAG to Make 9, Well-Informed Predictions About Our Future. The Analysis is...Bleak.

I'm using this specialized canvas app that lets me build the neurological brain of a chatbot based on connected notes. I added and connec...

Reddit - Artificial Intelligence · 1 min ·
Nlp

I built an API that gives AI answers grounded in real-time web search. How can i improve it?

I've been building MIAPI for the past few months β€” it's an API that returns AI-generated answers backed by real web sources with inline c...

Reddit - Artificial Intelligence · 1 min ·
[2512.06227] Automated Data Enrichment using Confidence-Aware Fine-Grained Debate among Open-Source LLMs for Mental Health and Online Safety
Llms

[2512.06227] Automated Data Enrichment using Confidence-Aware Fine-Grained Debate among Open-Source LLMs for Mental Health and Online Safety

Abstract page for arXiv paper 2512.06227: Automated Data Enrichment using Confidence-Aware Fine-Grained Debate among Open-Source LLMs for...

arXiv - Machine Learning · 4 min ·
[2510.16232] Personalized Collaborative Learning with Affinity-Based Variance Reduction
Nlp

[2510.16232] Personalized Collaborative Learning with Affinity-Based Variance Reduction

Abstract page for arXiv paper 2510.16232: Personalized Collaborative Learning with Affinity-Based Variance Reduction

arXiv - Machine Learning · 4 min ·
[2509.20508] Fast Estimation of Wasserstein Distances via Regression on Sliced Wasserstein Distances
Nlp

[2509.20508] Fast Estimation of Wasserstein Distances via Regression on Sliced Wasserstein Distances

Abstract page for arXiv paper 2509.20508: Fast Estimation of Wasserstein Distances via Regression on Sliced Wasserstein Distances

arXiv - Machine Learning · 4 min ·
[2507.08150] CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk
Machine Learning

[2507.08150] CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk

Abstract page for arXiv paper 2507.08150: CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk

arXiv - Machine Learning · 4 min ·
[2404.02138] Topic-Based Watermarks for Large Language Models
Llms

[2404.02138] Topic-Based Watermarks for Large Language Models

Abstract page for arXiv paper 2404.02138: Topic-Based Watermarks for Large Language Models

arXiv - Machine Learning · 4 min ·
[2303.15585] (Un)fair devices: Moving beyond AI accuracy in personal sensing
Machine Learning

[2303.15585] (Un)fair devices: Moving beyond AI accuracy in personal sensing

Abstract page for arXiv paper 2303.15585: (Un)fair devices: Moving beyond AI accuracy in personal sensing

arXiv - Machine Learning · 4 min ·
[2602.04288] Contextual Drag: How Errors in the Context Affect LLM Reasoning
Llms

[2602.04288] Contextual Drag: How Errors in the Context Affect LLM Reasoning

Abstract page for arXiv paper 2602.04288: Contextual Drag: How Errors in the Context Affect LLM Reasoning

arXiv - Machine Learning · 3 min ·
[2510.06084] Spectrum Tuning: Post-Training for Distributional Coverage and In-Context Steerability
Llms

[2510.06084] Spectrum Tuning: Post-Training for Distributional Coverage and In-Context Steerability

Abstract page for arXiv paper 2510.06084: Spectrum Tuning: Post-Training for Distributional Coverage and In-Context Steerability

arXiv - AI · 4 min ·
[2602.12274] Function-Space Decoupled Diffusion for Forward and Inverse Modeling in Carbon Capture and Storage
Machine Learning

[2602.12274] Function-Space Decoupled Diffusion for Forward and Inverse Modeling in Carbon Capture and Storage

Abstract page for arXiv paper 2602.12274: Function-Space Decoupled Diffusion for Forward and Inverse Modeling in Carbon Capture and Storage

arXiv - Machine Learning · 4 min ·
[2602.11062] MoToRec: Sparse-Regularized Multimodal Tokenization for Cold-Start Recommendation
Machine Learning

[2602.11062] MoToRec: Sparse-Regularized Multimodal Tokenization for Cold-Start Recommendation

Abstract page for arXiv paper 2602.11062: MoToRec: Sparse-Regularized Multimodal Tokenization for Cold-Start Recommendation

arXiv - Machine Learning · 4 min ·
[2602.10917] Near-Constant Strong Violation and Last-Iterate Convergence for Online CMDPs via Decaying Safety Margins
Nlp

[2602.10917] Near-Constant Strong Violation and Last-Iterate Convergence for Online CMDPs via Decaying Safety Margins

Abstract page for arXiv paper 2602.10917: Near-Constant Strong Violation and Last-Iterate Convergence for Online CMDPs via Decaying Safet...

arXiv - Machine Learning · 3 min ·
[2509.22641] Death of the Novel(ty): Beyond n-Gram Novelty as a Metric for Textual Creativity
Llms

[2509.22641] Death of the Novel(ty): Beyond n-Gram Novelty as a Metric for Textual Creativity

Abstract page for arXiv paper 2509.22641: Death of the Novel(ty): Beyond n-Gram Novelty as a Metric for Textual Creativity

arXiv - AI · 4 min ·
[2601.20666] Learning Contextual Runtime Monitors for Safe AI-Based Autonomy
Machine Learning

[2601.20666] Learning Contextual Runtime Monitors for Safe AI-Based Autonomy

Abstract page for arXiv paper 2601.20666: Learning Contextual Runtime Monitors for Safe AI-Based Autonomy

arXiv - Machine Learning · 4 min ·
[2512.05116] Value Gradient Guidance for Flow Matching Alignment
Machine Learning

[2512.05116] Value Gradient Guidance for Flow Matching Alignment

Abstract page for arXiv paper 2512.05116: Value Gradient Guidance for Flow Matching Alignment

arXiv - Machine Learning · 3 min ·
[2601.20071] Distributional value gradients for stochastic environments
Machine Learning

[2601.20071] Distributional value gradients for stochastic environments

Abstract page for arXiv paper 2601.20071: Distributional value gradients for stochastic environments

arXiv - Machine Learning · 4 min ·
[2507.08334] CoBELa: Steering Transparent Generation via Concept Bottlenecks on Energy Landscapes
Machine Learning

[2507.08334] CoBELa: Steering Transparent Generation via Concept Bottlenecks on Energy Landscapes

Abstract page for arXiv paper 2507.08334: CoBELa: Steering Transparent Generation via Concept Bottlenecks on Energy Landscapes

arXiv - AI · 4 min ·
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