Large Language Models Guide
A comprehensive guide to the best large language models resources, organized by type. Curated by AI News.
Tutorials
Deploying Open Source Vision Language Models (VLM) on Jetson
This article provides a comprehensive guide on deploying Open Source Vision Language Models (VLMs) on NVIDIA Jetson devices, detailing the necessary prerequisites and step-by-st...
Researches
[2602.14777] Emergently Misaligned Language Models Show Behavioral Self-Awareness That Shifts With Subsequent Realignment
This research paper explores how emergently misaligned language models exhibit behavioral self-awareness, revealing shifts in their self-assessment after realignment training.
[2510.09424] The Speech-LLM Takes It All: A Truly Fully End-to-End Spoken Dialogue State Tracking Approach
This paper presents a comparative study of context management strategies for end-to-end Spoken Dialogue State Tracking using Speech-LLMs, highlighting the effectiveness of full ...
[R] Large-Scale Online Deanonymization with LLMs
This paper demonstrates how large language models (LLMs) can deanonymize users based on their online posts, achieving high precision across various platforms.
[2602.20021] Agents of Chaos
The paper 'Agents of Chaos' presents findings from a red-teaming study on autonomous language-model-powered agents, highlighting security vulnerabilities and ethical concerns in...
[2602.16942] SourceBench: Can AI Answers Reference Quality Web Sources?
The paper introduces SourceBench, a benchmark designed to evaluate the quality of web sources cited by AI models across various query types, revealing insights for future AI and...
[2510.03313] Scaling Laws Revisited: Modeling the Role of Data Quality in Language Model Pretraining
The paper introduces a new dimensionless data-quality parameter for language model pretraining, establishing a quality-aware scaling law that predicts loss based on model size, ...
[2602.22070] Language Models Exhibit Inconsistent Biases Towards Algorithmic Agents and Human Experts
This study explores how large language models (LLMs) exhibit inconsistent biases towards algorithmic agents and human experts in decision-making tasks, revealing significant imp...
[R] Systematic Vulnerability in Open-Weight LLMs: Prefill Attacks Achieve Near-Perfect Success Rates Across 50 Models
This article presents a comprehensive study on prefill attacks in open-weight LLMs, revealing a near-perfect success rate across 50 models, highlighting significant security vul...
[2602.21262] Under the Influence: Quantifying Persuasion and Vigilance in Large Language Models
This paper investigates the interplay between persuasion and vigilance in Large Language Models (LLMs), revealing that these capacities are dissociable and critical for AI safety.
[2505.22811] Highly Efficient and Effective LLMs with Multi-Boolean Architectures
The paper presents a novel framework for large language models (LLMs) using multi-kernel Boolean parameters, enhancing efficiency and effectiveness by enabling direct finetuning...
Articles
Qwen3.5 cost efficiency?
The discussion explores whether Qwen3.5 will be more cost-effective than GPT-4 class models, highlighting community opinions on AI pricing dynamics.
Ask HN: Have LLM or generative AI made you more productive?
A discussion on Hacker News explores the productivity impact of LLMs and generative AI across various industries, highlighting mixed experiences from users in gaming and web dev...
[2509.19852] Eliminating stability hallucinations in llm-based tts models via attention guidance
This paper addresses stability hallucinations in LLM-based TTS models by enhancing attention mechanisms, proposing a new alignment metric, and demonstrating effective results in...
Qwen3.5 vs DeepSeek — which matters more?
The discussion compares Qwen3.5 and DeepSeek, two AI models released around the same time, highlighting user excitement and potential applications.
Customizable AI Companions.
The article discusses the potential of customizable AI companions that can engage in real-time video calls, leveraging technologies like ChatGPT and Gemini.
ChatGPT hits 100M weekly users in India as students drive AI adoption
India has reached 100 million weekly active ChatGPT users, with students driving this significant adoption, positioning the country as a leader in AI engagement.
Is alignment missing a dataset that no one has built yet?
The article discusses the absence of a dataset that captures the unique nuances of human identity, which are not reflected in existing language models, highlighting potential im...
[2602.13042] GPTZero: Robust Detection of LLM-Generated Texts
GPTZero introduces a robust solution for detecting AI-generated texts, addressing concerns over text authenticity and misinformation in the age of large language models.
Ask HN: What's the role GCP/Google's LLM play in GenAI market
A user expresses frustration with Google Cloud Platform's (GCP) generative AI offerings, particularly its Gemini model, citing usability issues and a perceived decline in Google...
[2602.15438] Logit Distance Bounds Representational Similarity
This paper explores the relationship between logit distance and representational similarity in discriminative models, demonstrating that closeness in logit distance ensures line...
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