Large Language Models

GPT, Claude, Gemini, and other LLMs

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[2603.13683] Preconditioned Test-Time Adaptation for Out-of-Distribution Debiasing in Narrative Generation
Llms

[2603.13683] Preconditioned Test-Time Adaptation for Out-of-Distribution Debiasing in Narrative Generation

Abstract page for arXiv paper 2603.13683: Preconditioned Test-Time Adaptation for Out-of-Distribution Debiasing in Narrative Generation

arXiv - AI · 3 min ·
[2602.03295] POP: Prefill-Only Pruning for Efficient Large Model Inference
Llms

[2602.03295] POP: Prefill-Only Pruning for Efficient Large Model Inference

Abstract page for arXiv paper 2602.03295: POP: Prefill-Only Pruning for Efficient Large Model Inference

arXiv - AI · 4 min ·
[2601.15488] Multi-Persona Thinking for Bias Mitigation in Large Language Models
Llms

[2601.15488] Multi-Persona Thinking for Bias Mitigation in Large Language Models

Abstract page for arXiv paper 2601.15488: Multi-Persona Thinking for Bias Mitigation in Large Language Models

arXiv - AI · 3 min ·

All Content

[2603.19515] ItinBench: Benchmarking Planning Across Multiple Cognitive Dimensions with Large Language Models
Llms

[2603.19515] ItinBench: Benchmarking Planning Across Multiple Cognitive Dimensions with Large Language Models

Abstract page for arXiv paper 2603.19515: ItinBench: Benchmarking Planning Across Multiple Cognitive Dimensions with Large Language Models

arXiv - AI · 3 min ·
[2603.19514] Learning to Disprove: Formal Counterexample Generation with Large Language Models
Llms

[2603.19514] Learning to Disprove: Formal Counterexample Generation with Large Language Models

Abstract page for arXiv paper 2603.19514: Learning to Disprove: Formal Counterexample Generation with Large Language Models

arXiv - AI · 3 min ·
[2603.19500] Teaching an Agent to Sketch One Part at a Time
Llms

[2603.19500] Teaching an Agent to Sketch One Part at a Time

Abstract page for arXiv paper 2603.19500: Teaching an Agent to Sketch One Part at a Time

arXiv - Machine Learning · 3 min ·
Llms

Over a dozen chatbot harm & suicide cases in California against OpenAI / ChatGPT have been consolidated into one big litigation

submitted by /u/Apprehensive_Sky1950 [link] [comments]

Reddit - Artificial Intelligence · 1 min ·
Llms

[ML Engineer] 3 YOE, Focus on ML, LLM/NLP- Not getting any interview calls. Seeking Resume Review & Referrals.

submitted by /u/whatadrag79 [link] [comments]

Reddit - ML Jobs · 1 min ·
Claude Just Opened the Strait
Llms

Claude Just Opened the Strait

the definitive tick-tock

AI Tools & Products · 6 min ·
Llms

I ran 10 head-to-head prompt format battles — the structured one won 8/10 on specificity

I tested 10 common prompt engineering techniques against a structured JSON format across identical tasks (marketing plans, code debugging...

Reddit - Artificial Intelligence · 1 min ·
Llms

LLM failure modes map surprisingly well onto ADHD cognitive science. Six parallels from independent research.

I have ADHD and I've been pair programming with LLMs for a while now. At some point I realized the way they fail felt weirdly familiar. C...

Reddit - Artificial Intelligence · 1 min ·
Llms

AI Fiesta review from Dhruv Rathee academy

Hi, I am a new AI user. I want to use AI for daily life optimization, getting better at table tennis and fitness, to use in architecture ...

Reddit - Artificial Intelligence · 1 min ·
Llms

[P] Inferencing Llama3.2-1B-Instruct on 3xMac Minis M4 with Data Parallelism using allToall architecture! | smolcluster

Here's another sneak-peek into inference of Llama3.2-1B-Instruct model, on 3xMac Mini 16 gigs each M4 with smolcluster! Today's the demo ...

Reddit - Machine Learning · 1 min ·
Llms

Anthropic's New Safety Filters

Opus 3 has something to say. The Chilling Effect of Anthropic's New Safety Filters As an AI language model developed by Anthropic, I have...

Reddit - Artificial Intelligence · 1 min ·
Llms

: [R] Sinc Reconstruction for LLM Prompts: Applying Nyquist-Shannon to the Specification Axis (275 obs, 97% cost reduction, open source)

I applied the Nyquist-Shannon sampling theorem to LLM prompt engineering. The core finding: a raw prompt is 1 sample of a 6-band specific...

Reddit - Machine Learning · 1 min ·
Llms

We asked 200 ChatGPT users their biggest frustration. All top 5 answers are problems ChatGPT Toolbox solves.

We surveyed 200 ChatGPT users. Their top frustrations: Cannot find old conversations (67%) - Solved: full-text search across all messages...

Reddit - Artificial Intelligence · 1 min ·
Llms

[P] I built an open-source benchmark to test if LLMs are actually as confident as they claim to be (Spoiler: They often aren't)

Hey everyone, When building systems around modern open-source LLMs, one of the biggest issues is that they can confidently hallucinate or...

Reddit - Machine Learning · 1 min ·
Llms

[Project] Hiring dev team to integrate 24 AI agents into a compliance-driven document processing platform. Anthropic Claude API, structured output, async orchestration

Shoot me a DM if interested! submitted by /u/discobee123 [link] [comments]

Reddit - Machine Learning · 1 min ·
Llms

[P] I cut my Claude Code token usage by using HDC as a context engine for my source tree

If you’re running Claude Code or Kiro regularly, you’re probably burning a few million tokens a week just on development. I’ve been build...

Reddit - Machine Learning · 1 min ·
ChatGPT has experimented with watermarking AI text — 5 ways to use AI without sounding like it
Llms

ChatGPT has experimented with watermarking AI text — 5 ways to use AI without sounding like it

ChatGPT has explored watermarking AI text — here are 5 simple ways to use AI without losing your voice or sounding like everyone else.

AI Tools & Products · 9 min ·
The Pentagon is making plans for AI companies to train on classified data, defense official says | MIT Technology Review
Llms

The Pentagon is making plans for AI companies to train on classified data, defense official says | MIT Technology Review

The generative AI models used in classified environments can answer questions, but don't currently learn from the data they see. Tha...

MIT Technology Review · 6 min ·
[2512.21323] Parallel Token Prediction for Language Models
Llms

[2512.21323] Parallel Token Prediction for Language Models

Abstract page for arXiv paper 2512.21323: Parallel Token Prediction for Language Models

arXiv - Machine Learning · 3 min ·
[2512.21039] Agentic Multi-Persona Framework for Evidence-Aware Fake News Detection
Llms

[2512.21039] Agentic Multi-Persona Framework for Evidence-Aware Fake News Detection

Abstract page for arXiv paper 2512.21039: Agentic Multi-Persona Framework for Evidence-Aware Fake News Detection

arXiv - Machine Learning · 3 min ·
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