Media Summary: A new class of small models is emerging with the ability to reliably follow instructions and call tools while running on-device under ... All right today we're jumping into a really huge challenge in the world of Fine-tuning LLMs is a fundamental technique for companies to customize models for their specific needs. In this talk, we will cover ...

Labonne Liquid Ai Everything I - Detailed Analysis & Overview

A new class of small models is emerging with the ability to reliably follow instructions and call tools while running on-device under ... All right today we're jumping into a really huge challenge in the world of Fine-tuning LLMs is a fundamental technique for companies to customize models for their specific needs. In this talk, we will cover ... S191: Lecture 8 Large Language Models Lecturer: Maxime ... to Chain of Thought 00:27 Guest Intro — Maxime On January 5, 2026 at CES, our CEO Ramin Hasani announced the release of LFM2.5, our most capable family of on-device ...

Spun out of MIT CSAIL, four founders - Ramin Hasani, Mathias Lechner, Alexander Amini, and Daniela Rus, started In this exclusive guest lecture for the Youth

Photo Gallery

Everything I Learned Training Frontier Small Models — Maxime Labonne, Liquid AI
Labonne - Liquid AI - Everything I Learned Training Frontier Small Models
Everything you need to know about Fine-tuning and Merging LLMs: Maxime Labonne
MIT 6.S191 (2025): Large Language Models (Liquid AI)
Liquid AI: Why Liquid?
Everything I Learned Training Frontier Small Models — Maxime Labonne, Liquid AI (번역)
Beyond Transformers: @maximelabonne  on Post-Training, Edge AI, and the Liquid Foundation Model
Liquid AI CEO Ramin Hasani Announces New LFM Products at CES 2026 Opening Keynote with Lisa Su
The FASTEST Vision Model for Your Laptop (Liquid AI LFM 2.5)
Building More Efficient AI: How Liquid AI Is Working To Optimize AI
Intelligence on the Edge: Liquid AI's Ramin Hasani on the Search for Device-Native Foundation Models
Advanced LLM Post-Training: SFT, DPO, Reinforcement Learning w/ Maxime Labonne (Liquid AI)
View Detailed Profile
Everything I Learned Training Frontier Small Models — Maxime Labonne, Liquid AI

Everything I Learned Training Frontier Small Models — Maxime Labonne, Liquid AI

A new class of small models is emerging with the ability to reliably follow instructions and call tools while running on-device under ...

Labonne - Liquid AI - Everything I Learned Training Frontier Small Models

Labonne - Liquid AI - Everything I Learned Training Frontier Small Models

All right today we're jumping into a really huge challenge in the world of

Everything you need to know about Fine-tuning and Merging LLMs: Maxime Labonne

Everything you need to know about Fine-tuning and Merging LLMs: Maxime Labonne

Fine-tuning LLMs is a fundamental technique for companies to customize models for their specific needs. In this talk, we will cover ...

MIT 6.S191 (2025): Large Language Models (Liquid AI)

MIT 6.S191 (2025): Large Language Models (Liquid AI)

S191: Lecture 8 Large Language Models Lecturer: Maxime

Liquid AI: Why Liquid?

Liquid AI: Why Liquid?

Discover how the

Everything I Learned Training Frontier Small Models — Maxime Labonne, Liquid AI (번역)

Everything I Learned Training Frontier Small Models — Maxime Labonne, Liquid AI (번역)

Liquid AI

Beyond Transformers: @maximelabonne  on Post-Training, Edge AI, and the Liquid Foundation Model

Beyond Transformers: @maximelabonne on Post-Training, Edge AI, and the Liquid Foundation Model

... to Chain of Thought 00:27 Guest Intro — Maxime

Liquid AI CEO Ramin Hasani Announces New LFM Products at CES 2026 Opening Keynote with Lisa Su

Liquid AI CEO Ramin Hasani Announces New LFM Products at CES 2026 Opening Keynote with Lisa Su

On January 5, 2026 at CES, our CEO Ramin Hasani announced the release of LFM2.5, our most capable family of on-device ...

The FASTEST Vision Model for Your Laptop (Liquid AI LFM 2.5)

The FASTEST Vision Model for Your Laptop (Liquid AI LFM 2.5)

This video explores how

Building More Efficient AI: How Liquid AI Is Working To Optimize AI

Building More Efficient AI: How Liquid AI Is Working To Optimize AI

Spun out of MIT CSAIL, four founders - Ramin Hasani, Mathias Lechner, Alexander Amini, and Daniela Rus, started

Intelligence on the Edge: Liquid AI's Ramin Hasani on the Search for Device-Native Foundation Models

Intelligence on the Edge: Liquid AI's Ramin Hasani on the Search for Device-Native Foundation Models

Liquid AI

Advanced LLM Post-Training: SFT, DPO, Reinforcement Learning w/ Maxime Labonne (Liquid AI)

Advanced LLM Post-Training: SFT, DPO, Reinforcement Learning w/ Maxime Labonne (Liquid AI)

In this exclusive guest lecture for the Youth

Ramin Hasani, CEO of Liquid AI, on why liquid foundation models are built for enterprise AI

Ramin Hasani, CEO of Liquid AI, on why liquid foundation models are built for enterprise AI

In this conversation with QuantumBlack,