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Injecting Reliability into Generative AI

Wolfram via YouTube

Overview

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Explore the challenges and solutions surrounding reliability in generative AI during this informative webinar. Discover how large language models (LLMs) struggle with factual accuracy, logical thinking, and computational tasks. Learn about Wolfram's innovative approach to addressing these issues by combining LLMs with the computational intelligence of Wolfram Language. Examine real-world examples of using plugins to inject facts, provide private data, and incorporate algorithms into LLM responses. Gain insights into leveraging LLM capabilities within Wolfram Language code to tackle complex problems involving unstructured data and poorly understood tasks. Presented by Jon McLoone, Director of Technical Communication and Strategy at Wolfram, this hour-long session offers valuable knowledge for those interested in enhancing the reliability and effectiveness of generative AI systems.

Syllabus

Injecting Reliability into Generative AI

Taught by

Wolfram

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