

Language Modeling and Protein Generation at Salesforce with Richard Socher - #372
May 4, 2020
In this engaging discussion, Richard Socher, Chief Scientist and Executive VP at Salesforce, unveils his groundbreaking work in AI, including the CTRL language model and ProGen, an AI protein generator. He shares insights on how language models are reshaping protein engineering and the ethical implications of AI-generated content. The conversation also dives into Salesforce's innovative AI applications in CRM, exploring how they enhance customer relationships and tackle real-world challenges. Socher emphasizes the importance of balancing research with practical needs in a large tech company.
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Socher's AI Origin
- Richard Socher's interest in AI started in high school, combining math and languages.
- Early NLP work involved feature engineering, which led him to neural networks.
Early Neural Network Challenges
- Socher faced early rejection when applying neural networks to NLP, with reviewers dismissing the approach.
- Despite this, he persisted, and neural networks are now the standard in NLP.
Evolving CRM Definition
- Salesforce's definition of CRM has broadened beyond traditional boundaries.
- It now encompasses diverse customer interactions, including e-commerce, government services, and healthcare.