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I re-recorded the post-training part of our NeurIPS tutorial on language models, added some more slides, and wrote up a mini state of the union on Interconnects. Enjoy! Links in QT. 00:00 Introduction 10:00 Prompts & Skill Selection 14:19 Instruction Finetuning 21:45 Preference Finetuning 36:17 Reinforcement Finetuning 45:28 Open...

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Nathan Lambert

70,357 subscribers

49,310 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 11

Фото профиля Nathan Lambert
Nathan Lambert1 год назад

Second, I think YouTube is an important distribution mechanism for AI research and education. Lmk if there's something I should do more of.

Фото профиля Nathan Lambert
Nathan Lambert1 год назад

Also continuing to plug away at rlhf book but waiting to announce until v1

Фото профиля Power Homeschool
Power Homeschool1 год назад

Start your child's independent homeschooling journey with our flexible, self-paced platform. We offer a full PreK-12 curriculum with electives & hundreds of engaging video-based lessons taught by experienced educators! Enroll now! ✅ No Contracts. Cancel Anytime.

Фото профиля Cameron R. Wolfe, Ph.D.
Cameron R. Wolfe, Ph.D.1 год назад

@interconnectsai Best talk at NeurIPS this year IMO. Everyone should watch.

Фото профиля Zion
Zion1 год назад

@interconnectsai Thanks for the Knowledge Nathan

Фото профиля Michael Craig
Michael Craig1 год назад

@interconnectsai Thanks for sharing @natolambert. Saw the series of talks at NeurIPS this year as well, very informative.

Фото профиля Zayn Al-Mahdi
Zayn Al-Mahdi1 год назад

@interconnectsai Excellent re-record, Nathan! Your insights on instruction and reinforcement fine-tuning are spot on. Curious about their real-world applications. Diving into the blog now.

Фото профиля altyni (ethmag.eth) 🪄
altyni (ethmag.eth) 🪄1 год назад

@interconnectsai What are your thoughts on post-training for JSON outputs and function calling?

Фото профиля Atma
Atma1 год назад

@interconnectsai Nice talk, would you mind sharing the slides?

Фото профиля Matthew Lam
Matthew Lam1 год назад

@interconnectsai Thanks for the knowledge

Фото профиля Ashvini Jindal
Ashvini Jindal1 год назад

@interconnectsai Thanks for sharing!

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Hash Rate - Ep 145: Templar (3), Basilica (39), Grail (81) 🧙 Guest: Distributed State of templar + basilica + grail 00:00 Introduction to Covenant and Its Subnets 02:01 Understanding Templar: Decentralized Training 05:31 The Role of Grail and Basilica 10:38 Transitioning from Research to Product 14:37 Competitive Landscape and Model Development 21:58 Target Audience and Market Potential 25:51 The Effect of $TAO Flow 32:52 Incentive Mechanisms in Basilica 39:24 Vision for Templar: Democratizing AI Training 45:20 Future Vision
53:04

Hash Rate - Ep 145: Templar (3), Basilica (39), Grail (81) 🧙 Guest: Distributed State of templar + basilica + grail 00:00 Introduction to Covenant and Its Subnets 02:01 Understanding Templar: Decentralized Training 05:31 The Role of Grail and Basilica 10:38 Transitioning from Research to Product 14:37 Competitive Landscape and Model Development 21:58 Target Audience and Market Potential 25:51 The Effect of $TAO Flow 32:52 Incentive Mechanisms in Basilica 39:24 Vision for Templar: Democratizing AI Training 45:20 Future Vision

Mark Jeffrey

27,995 просмотров • 7 месяцев назад