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Collections including paper arxiv:2305.07759

Synthetic Data Generation

Textbooks Are All You Need

Paper • 2306.11644 • Published Jun 20, 2023 • 142
Textbooks Are All You Need II: phi-1.5 technical report

Paper • 2309.05463 • Published Sep 11, 2023 • 87
TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

Paper • 2305.07759 • Published May 12, 2023 • 33
Scaling Synthetic Data Creation with 1,000,000,000 Personas

Paper • 2406.20094 • Published Jun 28 • 94

Smol, but feisty

TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

Paper • 2305.07759 • Published May 12, 2023 • 33
roneneldan/TinyStories

Viewer • Updated Aug 12 • 2.14M • 11.7k • 557

TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

Paper • 2305.07759 • Published May 12, 2023 • 33

Synthetic (text) Dataset Generation

Papers about synthetic dataset generation

Better Synthetic Data by Retrieving and Transforming Existing Datasets

Paper • 2404.14361 • Published Apr 22 • 1
Generative AI for Synthetic Data Generation: Methods, Challenges and the Future

Paper • 2403.04190 • Published Mar 7
Best Practices and Lessons Learned on Synthetic Data for Language Models

Paper • 2404.07503 • Published Apr 11 • 29
A Multi-Faceted Evaluation Framework for Assessing Synthetic Data Generated by Large Language Models

Paper • 2404.14445 • Published Apr 20

Research Papers

TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

Paper • 2305.07759 • Published May 12, 2023 • 33

Foundational_data

TinyGSM: achieving >80% on GSM8k with small language models

Paper • 2312.09241 • Published Dec 14, 2023 • 37
TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

Paper • 2305.07759 • Published May 12, 2023 • 33

Small Language Models

TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

Paper • 2305.07759 • Published May 12, 2023 • 33
Orca 2: Teaching Small Language Models How to Reason

Paper • 2311.11045 • Published Nov 18, 2023 • 70

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Paper • 2204.07705 • Published Apr 16, 2022 • 1
Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering

Paper • 2308.13259 • Published Aug 25, 2023 • 2
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning

Paper • 2309.05653 • Published Sep 11, 2023 • 10
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Paper • 2309.12284 • Published Sep 21, 2023 • 18

BitNet: Scaling 1-bit Transformers for Large Language Models

Paper • 2310.11453 • Published Oct 17, 2023 • 96
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Paper • 2310.11511 • Published Oct 17, 2023 • 74
In-Context Learning Creates Task Vectors

Paper • 2310.15916 • Published Oct 24, 2023 • 41
Matryoshka Diffusion Models

Paper • 2310.15111 • Published Oct 23, 2023 • 40

TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

Paper • 2305.07759 • Published May 12, 2023 • 33
PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU

Paper • 2312.12456 • Published Dec 16, 2023 • 41

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