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Event Date |
Wed Sep 27 PDT (about 1 year ago)
In your timezone (EST): Wed Sep 27 3:00am - Wed Sep 27 3:00am |
Location | Online |
Region | Americas |
With the recent introduction of large language model-based systems, such as Chat GPT, in-house legal teams need to ensure their baseline understanding of the technology needs to be improved. This will enable legal teams to speak the language of data scientists and engineers with greater competency and more fully consider the legal/patent implications of AI use and the development of products and services underpinned by these technologies.
Join us as our expert delivers great insights into how their legal teams are adjusting to ensure they can effectively support the use of these new technologies. We will provide a primer on machine learning and artificial intelligence for the technically and non-technically inclined alike including a high-level overview of the components of a data pipeline, ensuring attendees are prepared to speak the language of data scientists and engineers so that they can advise their internal teams with greater competency.
Learning Objectives:
• Showcasing a real example of an artificial neural network:
-Learning what it means to create embeddings
-Training a model
-Deploying a model at the inference stage
-Explaining what “a model” really is
• Outlining the basic vocabulary of machine learning in a tactile concrete way in the context of privacy, copyright, or patent issues from an in-house counsels perspective
2023 Speaker
Stephen S. Roche
Patent Attorney, Setter Roche