LLM

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Scoured 50 posts in 10.6 ms

Open Semantic Interchange: The Universal Standard for Semantic Data

 🔤Tokenization

Alignment Defends LLMs from Property Inference Attacks

 🧠LLMs  Content type: Academic
arxiv.org·

Agent Harness Engineering: A Survey

 🪟Context Windows  Content type: Academic

LLM-Based Code Documentation Generation and Multi-Judge Evaluation

 🧠LLMs  Content type: Academic
arxiv.org·

The vulnerability bottleneck has moved

 🎯Fine-tuning  Content type: News  Content type: Blog

SugaC-275/ToTra: Open-source AI gateway for enterprises — quota, PII protection, cost tracking, and compliance

 🧠LLMs  Content type: Code
github.com··Hacker News

Did AI speed us up? The honest ROI take

 🤖AI Agents  Content type: News  Content type: Blog

Substrate Asymmetry in User-Side Memory: A Diagnostic Framework

 🎯Fine-tuning  Content type: Academic
arxiv.org·

A Regret Minimization Framework on Preference Learning in Large Language Models

 🎮Reinforcement Learning  Content type: Academic
arxiv.org·

By 2030, AI's water use will match the needs of 1.3 billion people while its power use triples that of 650 million, UN University investigation warns

 🤖Machine Learning  Content type: Academic
unu.edu··Hacker News

Evaluating Advanced Prompting on Gemini Flash for Multi-Hop Biomedical QA

 🤖AI Agents  Content type: Academic
arxiv.org·

Agents are getting phone numbers. The reason is not obvious

 🪟Context Windows  Content type: News

A Unifying Lens on Reward Uncertainty in RLHF

 🎮Reinforcement Learning  Content type: Academic
arxiv.org·

Who Owns the Loop?

 🤖AI Agents  Content type: News  Content type: Blog

Pythagora-io/gpt-pilot Compromised on GitHub - Shai-Hulud Credential Stealer Blocked by Python Linter

 🐍Python  Content type: Blog

Principled Agent Debate: Adversarial Arbitration for Sycophancy Reduction in Large Language Models

 🎮Reinforcement Learning  Content type: Academic
arxiv.org·

Show HN: Axiomax – Cryptographic proof of AI inference carbon footprint

 🚀Bootstrapping

Someone has set up a consulting firm specializing in bad software, and their services sound like real-world project experience

 🦆DuckDB

linzhiqiu/t2v_metrics: Evaluating text-to-image/video/3D models with VQAScore

 🧠Neural Networks  Content type: Code
github.com··Hacker News

Context-Based Adversarial Attacks on AI Code Generators: Vulnerability Analysis and Implications

 🤖AI Agents  Content type: Academic
arxiv.org·

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