Analyzing the Temperature-Varied Syntactic Structures of GPT 3.5
Offered By: Wolfram via YouTube
Course Description
Overview
Explore the fascinating world of large language models in this 29-minute Wolfram Student Podcast episode featuring Tianyi Gu's project on temperature-influenced grammatical structures in GPT 3.5. Delve into qualitative and quantitative methods for measuring grammar similarity, learn how to apply graph theory to language analysis, and uncover the distinctive characteristics of human and machine-generated text. Gain insights into the unique aspects of human language production and the implications for artificial intelligence research.
Syllabus
Analyzing the Temperature-Varied Syntactic Structures of GPT 3.5
Taught by
Wolfram
Related Courses
Microsoft Bot Framework and Conversation as a PlatformMicrosoft via edX Unlocking the Power of OpenAI for Startups - Microsoft for Startups
Microsoft via YouTube Improving Customer Experiences with Speech to Text and Text to Speech
Microsoft via YouTube Stanford Seminar - Deep Learning in Speech Recognition
Stanford University via YouTube Select Topics in Python: Natural Language Processing
Codio via Coursera