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Discover the best community collections!

Collections including paper arxiv:2306.11644

Dataset generation

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs

Paper • 2310.13961 • Published Oct 21, 2023 • 4
ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Paper • 2202.07922 • Published Feb 16, 2022 • 1
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models

Paper • 2310.13671 • Published Oct 20, 2023 • 18
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4

Code Evaluation

Collection of Papers on Code Evaluation (from code generation language models)

A Survey on Language Models for Code

Paper • 2311.07989 • Published Nov 14, 2023 • 21
Evaluating Large Language Models Trained on Code

Paper • 2107.03374 • Published Jul 7, 2021 • 8
SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Paper • 2310.06770 • Published Oct 10, 2023 • 4
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Paper • 2102.04664 • Published Feb 9, 2021 • 2

Running on CPU Upgrade

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Anychat
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248

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Qwen2.5 Coder Artifacts
Running

830

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QwQ-32B-Preview

QwQ-32B-Preview
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Open LLM Leaderboard

Track, rank and evaluate open LLMs and chatbots

Synthetic Data papers

Papers and important approraches for generation of synthetic data

AgentInstruct: Toward Generative Teaching with Agentic Flows

Paper • 2407.03502 • Published Jul 3, 2024 • 51
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Paper • 2406.08464 • Published Jun 12, 2024 • 65
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Paper • 2404.14219 • Published Apr 22, 2024 • 253
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows

Paper • 2402.10379 • Published Feb 16, 2024 • 30

Textbooks Are All You Need

Paper • 2306.11644 • Published Jun 20, 2023 • 142

SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding

Paper • 2408.15545 • Published Aug 28, 2024 • 34
Controllable Text Generation for Large Language Models: A Survey

Paper • 2408.12599 • Published Aug 22, 2024 • 63
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 41
Automated Design of Agentic Systems

Paper • 2408.08435 • Published Aug 15, 2024 • 38

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, 2024 • 96

Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Paper • 2401.16380 • Published Jan 29, 2024 • 48
Best Practices and Lessons Learned on Synthetic Data for Language Models

Paper • 2404.07503 • Published Apr 11, 2024 • 29
WizardLM: Empowering Large Language Models to Follow Complex Instructions

Paper • 2304.12244 • Published Apr 24, 2023 • 13
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Paper • 2402.13064 • Published Feb 20, 2024 • 47

Textbooks Are All You Need

Paper • 2306.11644 • Published Jun 20, 2023 • 142

Textbooks Are All You Need

Paper • 2306.11644 • Published Jun 20, 2023 • 142
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