Unleashing the Power of Large Language Models: A Hands-On Tutorial

Author:

Santra Payel1ORCID,Ghosh Madhusudan1ORCID,Mukherjee Shrimon1ORCID,Ganguly Debasis2ORCID,Basuchowdhuri Partha1ORCID,Naskar Sudip Kumar3ORCID

Affiliation:

1. Indian Association for the Cultivation of Science, Kolkata, India

2. University of Glasgow, United Kingdom

3. Jadavpur University, India

Publisher

ACM

Reference21 articles.

1. Enriching Word Vectors with Subword Information

2. Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, 2020. Language models are few-shot learners. Advances in neural information processing systems 33 (2020), 1877–1901.

3. Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, 2022. Palm: Scaling language modeling with pathways. arXiv preprint arXiv:2204.02311 (2022).

4. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018).

5. Ning Ding, Shengding Hu, Weilin Zhao, Yulin Chen, Zhiyuan Liu, Hai-Tao Zheng, and Maosong Sun. 2021. OpenPrompt: An Open-source Framework for Prompt-learning. arXiv preprint arXiv:2111.01998 (2021).

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