LoRA Fine-Tuning of a 3B Code LLM for Algorithmic Efficiency
J. Edward Hu, Yelong Shen low, Phillip Wallis low, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang low
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- On the Opportunities and Risks of Foundation Models→LoRA Fine-Tuning of a 3B Code LLM for Algorithmic EfficiencyLegacy edge — source detail unavailable
- LoRA Fine-Tuning of a 3B Code LLM for Algorithmic Efficiency→[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…Legacy edge — source detail unavailable
- LoRA Fine-Tuning of a 3B Code LLM for Algorithmic Efficiency→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
- LoRA Fine-Tuning of a 3B Code LLM for Algorithmic Efficiency→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
- LoRA Fine-Tuning of a 3B Code LLM for Algorithmic Efficiency→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- LoRA Fine-Tuning of a 3B Code LLM for Algorithmic Efficiency→A unified architecture for natural language processingLegacy edge — source detail unavailable
- LoRA Fine-Tuning of a 3B Code LLM for Algorithmic Efficiency→Language Models are Few-Shot LearnersLegacy edge — source detail unavailable
- LoRA Fine-Tuning of a 3B Code LLM for Algorithmic Efficiency→GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language UnderstandingLegacy edge — source detail unavailable
- Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank→A unified architecture for natural language processingLegacy edge — source detail unavailable
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding→A unified architecture for natural language processingLegacy edge — source detail unavailable
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…→GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language UnderstandingLegacy edge — source detail unavailable
- HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
- HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…→[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…Legacy edge — source detail unavailable
- Language Models are Few-Shot Learners→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
- Language Models are Few-Shot Learners→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
- On the Opportunities and Risks of Foundation Models→A unified architecture for natural language processingLegacy edge — source detail unavailable
- On the Opportunities and Risks of Foundation Models→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
- On the Opportunities and Risks of Foundation Models→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
- On the Opportunities and Risks of Foundation Models→Language Models are Few-Shot LearnersLegacy edge — source detail unavailable
What this paper cites, inside the corpus
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| On the Opportunities and Risks of Foundation Models | 2021 | 2,265 |
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Topics
| Topic Modeling | Computer Science |
| Natural Language Processing Techniques | Computer Science |
| Speech Recognition and Synthesis | Computer Science |
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