
Language Modeling and Protein Generation at Salesforce with Richard Socher - #372
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Language Models and Protein Generation
This chapter explores the convergence of language modeling and protein generation, showcasing how advancements in natural language processing (NLP) have informed this field. It discusses the evolution of language models, particularly the shift from LSTMs to transformer-based architectures, and their applications in generating coherent texts. The conversation also highlights the ethical implications of AI-generated content, such as misinformation, while emphasizing the innovative use of control codes to influence output styles.
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