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Collections including paper arxiv:2306.08568

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI

Paper • 2505.19443 • Published May 26 • 15
Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs

Paper • 2506.19290 • Published Jun 24 • 52
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Paper • 2105.12655 • Published May 25, 2021
StarCoder 2 and The Stack v2: The Next Generation

Paper • 2402.19173 • Published Feb 29, 2024 • 151

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

Paper • 2401.16380 • Published Jan 29, 2024 • 50
Best Practices and Lessons Learned on Synthetic Data for Language Models

Paper • 2404.07503 • Published Apr 11, 2024 • 31
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 • 50

There's usually interesting papers in the model cards on the leaderboard: https://huggingface.co/spaces/bigcode/bigcode-models-leaderboard

StarCoder: may the source be with you!

Paper • 2305.06161 • Published May 9, 2023 • 31
WizardCoder: Empowering Code Large Language Models with Evol-Instruct

Paper • 2306.08568 • Published Jun 14, 2023 • 31
SantaCoder: don't reach for the stars!

Paper • 2301.03988 • Published Jan 9, 2023 • 7
DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Paper • 2401.14196 • Published Jan 25, 2024 • 68

💫 Glossary https://osanseviero.github.io/hackerllama/blog/posts/hitchhiker_guide/

Understanding LLMs: A Comprehensive Overview from Training to Inference

Paper • 2401.02038 • Published Jan 4, 2024 • 65
Learning To Teach Large Language Models Logical Reasoning

Paper • 2310.09158 • Published Oct 13, 2023 • 1
ChipNeMo: Domain-Adapted LLMs for Chip Design

Paper • 2311.00176 • Published Oct 31, 2023 • 9
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Paper • 2308.09583 • Published Aug 18, 2023 • 7

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

Paper • 2310.13961 • Published Oct 21, 2023 • 5
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models

Paper • 2310.13127 • Published Oct 19, 2023 • 12
Evaluating the Robustness to Instructions of Large Language Models

Paper • 2308.14306 • Published Aug 28, 2023 • 1

Synthetic Data Generation

Textbooks Are All You Need

Paper • 2306.11644 • Published Jun 20, 2023 • 149
Textbooks Are All You Need II: phi-1.5 technical report

Paper • 2309.05463 • Published Sep 11, 2023 • 88
TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

Paper • 2305.07759 • Published May 12, 2023 • 36
Scaling Synthetic Data Creation with 1,000,000,000 Personas

Paper • 2406.20094 • Published Jun 28, 2024 • 104

WhiteRabbitNeo/WhiteRabbitNeo-13B-v1

Text Generation • Updated Feb 15, 2024 • 2.03k • 434
unit-mesh/autodev-coder

Text Generation • 7B • Updated Dec 31, 2023 • 9 • 14
google/codegemma-2b

Text Generation • 3B • Updated Aug 7, 2024 • 2.46k • 88
Mr-Vicky-01/Gemma-2B-Finetuined-pythonCode

Text Generation • 3B • Updated Apr 9, 2024 • 8 • 4

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 104
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 24
RoBERTa: A Robustly Optimized BERT Pretraining Approach

Paper • 1907.11692 • Published Jul 26, 2019 • 9
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Paper • 1910.01108 • Published Oct 2, 2019 • 21

Creative Robot Tool Use with Large Language Models

Paper • 2310.13065 • Published Oct 19, 2023 • 9
CodeCoT and Beyond: Learning to Program and Test like a Developer

Paper • 2308.08784 • Published Aug 17, 2023 • 5
Lemur: Harmonizing Natural Language and Code for Language Agents

Paper • 2310.06830 • Published Oct 10, 2023 • 34
CodePlan: Repository-level Coding using LLMs and Planning

Paper • 2309.12499 • Published Sep 21, 2023 • 79

Dataset generation

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

Paper • 2310.13961 • Published Oct 21, 2023 • 5
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 • 19
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI

Paper • 2505.19443 • Published May 26 • 15
Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs

Paper • 2506.19290 • Published Jun 24 • 52
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Paper • 2105.12655 • Published May 25, 2021
StarCoder 2 and The Stack v2: The Next Generation

Paper • 2402.19173 • Published Feb 29, 2024 • 151

Synthetic Data Generation

Textbooks Are All You Need

Paper • 2306.11644 • Published Jun 20, 2023 • 149
Textbooks Are All You Need II: phi-1.5 technical report

Paper • 2309.05463 • Published Sep 11, 2023 • 88
TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

Paper • 2305.07759 • Published May 12, 2023 • 36
Scaling Synthetic Data Creation with 1,000,000,000 Personas

Paper • 2406.20094 • Published Jun 28, 2024 • 104

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

Paper • 2401.16380 • Published Jan 29, 2024 • 50
Best Practices and Lessons Learned on Synthetic Data for Language Models

Paper • 2404.07503 • Published Apr 11, 2024 • 31
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 • 50

WhiteRabbitNeo/WhiteRabbitNeo-13B-v1

Text Generation • Updated Feb 15, 2024 • 2.03k • 434
unit-mesh/autodev-coder

Text Generation • 7B • Updated Dec 31, 2023 • 9 • 14
google/codegemma-2b

Text Generation • 3B • Updated Aug 7, 2024 • 2.46k • 88
Mr-Vicky-01/Gemma-2B-Finetuined-pythonCode

Text Generation • 3B • Updated Apr 9, 2024 • 8 • 4

There's usually interesting papers in the model cards on the leaderboard: https://huggingface.co/spaces/bigcode/bigcode-models-leaderboard

StarCoder: may the source be with you!

Paper • 2305.06161 • Published May 9, 2023 • 31
WizardCoder: Empowering Code Large Language Models with Evol-Instruct

Paper • 2306.08568 • Published Jun 14, 2023 • 31
SantaCoder: don't reach for the stars!

Paper • 2301.03988 • Published Jan 9, 2023 • 7
DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Paper • 2401.14196 • Published Jan 25, 2024 • 68

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 104
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 24
RoBERTa: A Robustly Optimized BERT Pretraining Approach

Paper • 1907.11692 • Published Jul 26, 2019 • 9
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Paper • 1910.01108 • Published Oct 2, 2019 • 21

💫 Glossary https://osanseviero.github.io/hackerllama/blog/posts/hitchhiker_guide/

Understanding LLMs: A Comprehensive Overview from Training to Inference

Paper • 2401.02038 • Published Jan 4, 2024 • 65
Learning To Teach Large Language Models Logical Reasoning

Paper • 2310.09158 • Published Oct 13, 2023 • 1
ChipNeMo: Domain-Adapted LLMs for Chip Design

Paper • 2311.00176 • Published Oct 31, 2023 • 9
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Paper • 2308.09583 • Published Aug 18, 2023 • 7

Creative Robot Tool Use with Large Language Models

Paper • 2310.13065 • Published Oct 19, 2023 • 9
CodeCoT and Beyond: Learning to Program and Test like a Developer

Paper • 2308.08784 • Published Aug 17, 2023 • 5
Lemur: Harmonizing Natural Language and Code for Language Agents

Paper • 2310.06830 • Published Oct 10, 2023 • 34
CodePlan: Repository-level Coding using LLMs and Planning

Paper • 2309.12499 • Published Sep 21, 2023 • 79

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

Paper • 2310.13961 • Published Oct 21, 2023 • 5
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models

Paper • 2310.13127 • Published Oct 19, 2023 • 12
Evaluating the Robustness to Instructions of Large Language Models

Paper • 2308.14306 • Published Aug 28, 2023 • 1

Dataset generation

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

Paper • 2310.13961 • Published Oct 21, 2023 • 5
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 • 19
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4

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