Media Summary: Run massive AI models on your laptop! Learn the secrets of LLM quantization and how q2, q4, and q8 settings in Ollama can save ... In this video, we discuss the fundamentals of model quantization, the technique that allows us to run inference on massive LLMs ... Fei Liu is a postdoctoral researcher at ETH Zurich and the University of Zurich working on automated algorithm design, ...

Ilamaran Presents Lrq Optimizing Post - Detailed Analysis & Overview

Run massive AI models on your laptop! Learn the secrets of LLM quantization and how q2, q4, and q8 settings in Ollama can save ... In this video, we discuss the fundamentals of model quantization, the technique that allows us to run inference on massive LLMs ... Fei Liu is a postdoctoral researcher at ETH Zurich and the University of Zurich working on automated algorithm design, ... Reinforcement learning for freeform robot design Title: ExpRL: Exploratory RL for LLM Mid-Training (Jun 2026) Link: Date: June 2026 Summary: ... Annotated PDF available: Timestamps: 00:00 ...

An introductory video on operationalising an AI-Quality Management System (AI-QMS) focuses on how organisations can ... S. Kuroki, M. Nakagawa, S. Yoshida, Y. Koyama and T. Kozuno, "LAPPI: Interactive This is the demonstration video of our paper “DapQ-DiT: Distribution-Aware In this AI Research Roundup episode, Alex discusses the paper: 'ProRL: Effective Reinforcement Learning for Proactive ...

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Ilamaran presents: LRQ: Optimizing Post-Training Quantization for Large Language Models by Learni...
Optimize Your AI - Quantization Explained
How LLMs survive in low precision | Quantization Fundamentals
Automated Algorithm Design - LLM4AD
Understanding Policy Gradient Algorithms for RL on LLMs | RLHF & Post-training Course Lecture 3
Body building with RL (Li et al. ICRA, 2024)
ExpRL: Exploratory RL for LLM Mid-Training (Jun 2026)
Recitation 2/10 (CMU 16-745) LQR and Extensions
AI QMS Operationalisation: An Introduction
LAPPI: Interactive Optimization with LLM-Assisted Preference-Based Problem Instantiation
ACM ICMR 2026 DapQ-DiT: Distribution Aware Post-Training Quantization for Efficient Generative Tasks
ProRL: Smart RL for Proactive Recommendations
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Ilamaran presents: LRQ: Optimizing Post-Training Quantization for Large Language Models by Learni...

Ilamaran presents: LRQ: Optimizing Post-Training Quantization for Large Language Models by Learni...

LRQ

Optimize Your AI - Quantization Explained

Optimize Your AI - Quantization Explained

Run massive AI models on your laptop! Learn the secrets of LLM quantization and how q2, q4, and q8 settings in Ollama can save ...

How LLMs survive in low precision | Quantization Fundamentals

How LLMs survive in low precision | Quantization Fundamentals

In this video, we discuss the fundamentals of model quantization, the technique that allows us to run inference on massive LLMs ...

Automated Algorithm Design - LLM4AD

Automated Algorithm Design - LLM4AD

Fei Liu is a postdoctoral researcher at ETH Zurich and the University of Zurich working on automated algorithm design, ...

Understanding Policy Gradient Algorithms for RL on LLMs | RLHF & Post-training Course Lecture 3

Understanding Policy Gradient Algorithms for RL on LLMs | RLHF & Post-training Course Lecture 3

Welcome to The RLHF Book &

Body building with RL (Li et al. ICRA, 2024)

Body building with RL (Li et al. ICRA, 2024)

Reinforcement learning for freeform robot design https://arxiv.org/abs/2310.05670.

ExpRL: Exploratory RL for LLM Mid-Training (Jun 2026)

ExpRL: Exploratory RL for LLM Mid-Training (Jun 2026)

Title: ExpRL: Exploratory RL for LLM Mid-Training (Jun 2026) Link: http://arxiv.org/abs/2606.17024v1 Date: June 2026 Summary: ...

Recitation 2/10 (CMU 16-745) LQR and Extensions

Recitation 2/10 (CMU 16-745) LQR and Extensions

Annotated PDF available: https://github.com/Optimal-Control-16-745/recitations/blob/main/2_10_recitation.pdf Timestamps: 00:00 ...

AI QMS Operationalisation: An Introduction

AI QMS Operationalisation: An Introduction

An introductory video on operationalising an AI-Quality Management System (AI-QMS) focuses on how organisations can ...

LAPPI: Interactive Optimization with LLM-Assisted Preference-Based Problem Instantiation

LAPPI: Interactive Optimization with LLM-Assisted Preference-Based Problem Instantiation

S. Kuroki, M. Nakagawa, S. Yoshida, Y. Koyama and T. Kozuno, "LAPPI: Interactive

ACM ICMR 2026 DapQ-DiT: Distribution Aware Post-Training Quantization for Efficient Generative Tasks

ACM ICMR 2026 DapQ-DiT: Distribution Aware Post-Training Quantization for Efficient Generative Tasks

This is the demonstration video of our paper “DapQ-DiT: Distribution-Aware

ProRL: Smart RL for Proactive Recommendations

ProRL: Smart RL for Proactive Recommendations

In this AI Research Roundup episode, Alex discusses the paper: 'ProRL: Effective Reinforcement Learning for Proactive ...