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Unlocking Transformers’ Reasoning Abilities, FastGen Enhances LLM Efficiency

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Manage episode 417962274 series 3550973
Content provided by Simply News from Qurrent. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Simply News from Qurrent or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Discover how the 'chain of thought' approach makes transformers smarter and how FastGen cuts GPU memory costs without compromising LLM quality. Also, learn about Lory, a fully-differentiable MoE model for language model pre-training, and the release of the largest supervised fine-tuning open-sourced dataset by Alignment Lab AI.
Sources:
https://www.marktechpost.com/2024/05/12/how-chain-of-thought-makes-transformers-smarter/
https://www.marktechpost.com/2024/05/12/fastgen-cutting-gpu-memory-costs-without-compromising-on-llm-quality/
https://www.marktechpost.com/2024/05/12/researchers-from-princeton-and-meta-ai-introduce-lory-a-fully-differentiable-moe-model-designed-for-autoregressive-language-model-pre-training/
https://www.marktechpost.com/2024/05/12/alignment-lab-ai-releases-buzz-dataset-the-largest-supervised-fine-tuning-open-sourced-dataset/
Outline:
(00:00:00) Introduction
(00:00:45) How ‘Chain of Thought’ Makes Transformers Smarter
(00:03:23) FastGen: Cutting GPU Memory Costs Without Compromising on LLM Quality
(00:06:51) Researchers from Princeton and Meta AI Introduce ‘Lory’: A Fully-Differentiable MoE Model Designed for Autoregressive Language Model Pre-Training
(00:09:27) Alignment Lab AI Releases ‘Buzz Dataset’: The Largest Supervised Fine-Tuning Open-Sourced Dataset
  continue reading

100 episodes

Artwork
iconShare
 
Manage episode 417962274 series 3550973
Content provided by Simply News from Qurrent. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Simply News from Qurrent or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Discover how the 'chain of thought' approach makes transformers smarter and how FastGen cuts GPU memory costs without compromising LLM quality. Also, learn about Lory, a fully-differentiable MoE model for language model pre-training, and the release of the largest supervised fine-tuning open-sourced dataset by Alignment Lab AI.
Sources:
https://www.marktechpost.com/2024/05/12/how-chain-of-thought-makes-transformers-smarter/
https://www.marktechpost.com/2024/05/12/fastgen-cutting-gpu-memory-costs-without-compromising-on-llm-quality/
https://www.marktechpost.com/2024/05/12/researchers-from-princeton-and-meta-ai-introduce-lory-a-fully-differentiable-moe-model-designed-for-autoregressive-language-model-pre-training/
https://www.marktechpost.com/2024/05/12/alignment-lab-ai-releases-buzz-dataset-the-largest-supervised-fine-tuning-open-sourced-dataset/
Outline:
(00:00:00) Introduction
(00:00:45) How ‘Chain of Thought’ Makes Transformers Smarter
(00:03:23) FastGen: Cutting GPU Memory Costs Without Compromising on LLM Quality
(00:06:51) Researchers from Princeton and Meta AI Introduce ‘Lory’: A Fully-Differentiable MoE Model Designed for Autoregressive Language Model Pre-Training
(00:09:27) Alignment Lab AI Releases ‘Buzz Dataset’: The Largest Supervised Fine-Tuning Open-Sourced Dataset
  continue reading

100 episodes

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