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Collections including paper arxiv:2206.07682

Scaling Literature

Collection of Scaling Law Papers

Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Paper • 2408.03314 • Published Aug 6, 2024 • 63
Training Compute-Optimal Large Language Models

Paper • 2203.15556 • Published Mar 29, 2022 • 11
Scaling Laws for Precision

Paper • 2411.04330 • Published Nov 7, 2024 • 8
Transcending Scaling Laws with 0.1% Extra Compute

Paper • 2210.11399 • Published Oct 20, 2022

Must Reads On Transformers and Diffusers

Explore the cutting-edge of AI with our curated list of must reads on Transformers & Diffusers, driving innovation in generative-AI and beyond.

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Paper • 1701.06538 • Published Jan 23, 2017 • 7
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 105
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Paper • 2005.11401 • Published May 22, 2020 • 14
Language Model Evaluation Beyond Perplexity

Paper • 2106.00085 • Published May 31, 2021

🚀 Spinning Up in LLMs

Lost in the Middle: How Language Models Use Long Contexts

Paper • 2307.03172 • Published Jul 6, 2023 • 43
Efficient Estimation of Word Representations in Vector Space

Paper • 1301.3781 • Published Jan 16, 2013 • 8
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 24
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 105

A collection of arXiv papers from Chip Huyen's AI Engineering organized by chapter and ordered by when each appears in the book.

Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning

Paper • 2211.04325 • Published Oct 26, 2022 • 1
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 24
On the Opportunities and Risks of Foundation Models

Paper • 2108.07258 • Published Aug 16, 2021 • 1
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Paper • 2204.07705 • Published Apr 16, 2022 • 2

NLP & LLM - Essential Research Papers

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond

Paper • 2304.13712 • Published Apr 26, 2023
LLaMA: Open and Efficient Foundation Language Models

Paper • 2302.13971 • Published Feb 27, 2023 • 19
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 105
A Comprehensive Overview of Large Language Models

Paper • 2307.06435 • Published Jul 12, 2023 • 2

#MustRead Papers

Signature papers in AI/ML with focus on generative AI or large language models that bring unique perspectives and/or are highly cited by peers

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 105
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 18
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Paper • 2201.11903 • Published Jan 28, 2022 • 14
Orca 2: Teaching Small Language Models How to Reason

Paper • 2311.11045 • Published Nov 18, 2023 • 77

Scaling Literature

Collection of Scaling Law Papers

Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Paper • 2408.03314 • Published Aug 6, 2024 • 63
Training Compute-Optimal Large Language Models

Paper • 2203.15556 • Published Mar 29, 2022 • 11
Scaling Laws for Precision

Paper • 2411.04330 • Published Nov 7, 2024 • 8
Transcending Scaling Laws with 0.1% Extra Compute

Paper • 2210.11399 • Published Oct 20, 2022

A collection of arXiv papers from Chip Huyen's AI Engineering organized by chapter and ordered by when each appears in the book.

Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning

Paper • 2211.04325 • Published Oct 26, 2022 • 1
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 24
On the Opportunities and Risks of Foundation Models

Paper • 2108.07258 • Published Aug 16, 2021 • 1
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Paper • 2204.07705 • Published Apr 16, 2022 • 2

Must Reads On Transformers and Diffusers

Explore the cutting-edge of AI with our curated list of must reads on Transformers & Diffusers, driving innovation in generative-AI and beyond.

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Paper • 1701.06538 • Published Jan 23, 2017 • 7
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 105
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Paper • 2005.11401 • Published May 22, 2020 • 14
Language Model Evaluation Beyond Perplexity

Paper • 2106.00085 • Published May 31, 2021

NLP & LLM - Essential Research Papers

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond

Paper • 2304.13712 • Published Apr 26, 2023
LLaMA: Open and Efficient Foundation Language Models

Paper • 2302.13971 • Published Feb 27, 2023 • 19
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 105
A Comprehensive Overview of Large Language Models

Paper • 2307.06435 • Published Jul 12, 2023 • 2

🚀 Spinning Up in LLMs

Lost in the Middle: How Language Models Use Long Contexts

Paper • 2307.03172 • Published Jul 6, 2023 • 43
Efficient Estimation of Word Representations in Vector Space

Paper • 1301.3781 • Published Jan 16, 2013 • 8
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 24
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 105

#MustRead Papers

Signature papers in AI/ML with focus on generative AI or large language models that bring unique perspectives and/or are highly cited by peers

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 105
Language Models are Few-Shot Learners

Paper • 2005.14165 • Published May 28, 2020 • 18
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Paper • 2201.11903 • Published Jan 28, 2022 • 14
Orca 2: Teaching Small Language Models How to Reason

Paper • 2311.11045 • Published Nov 18, 2023 • 77

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