Summary of Lilium: Ebay’s Large Language Models For E-commerce, by Christian Herold and Michael Kozielski and Leonid Ekimov and Pavel Petrushkov and Pierre-yves Vandenbussche and Shahram Khadivi
LiLiuM: eBay’s Large Language Models for e-commerce
by Christian Herold, Michael Kozielski, Leonid Ekimov, Pavel Petrushkov, Pierre-Yves Vandenbussche, Shahram Khadivi
First submitted to arxiv on: 17 Jun 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The LiLiuM series is a collection of large language models (LLMs) developed by eBay in-house to meet the company’s specific needs in the e-commerce domain. The series includes 1B, 7B, and 13B parameter models that are designed to be used as a foundation for fine-tuning and instruction-tuning, eliminating dependencies on external models. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary These large language models can be used for various applications in e-commerce, such as natural language processing (NLP) tasks. The LiLiuM series is an important innovation in the field of NLP, especially in the context of e-commerce. |
Keywords
» Artificial intelligence » Fine tuning » Instruction tuning » Natural language processing » Nlp
