Dive into an hour-long video analysis of the latest advancements in Generative Pre-trained Transformer (GPT) language models, focusing on OpenAI's GPT-4 Technical Report and Microsoft's "Sparks of AGI" paper. Explore topics such as multi-modal input, predictable scaling, exam performance, rule-based reward models, spatial awareness, programming capabilities, theory of mind, and potential challenges. Examine the implications of these developments, including risks, biases, privacy concerns, and the acceleration towards Artificial General Intelligence (AGI). Gain insights into the current state of GPT and Large Language Models (LLMs) and their potential impact on various fields.
Sparks of AGI - Analyzing GPT-4 and the Latest GPT-LLM Models
Overview
Syllabus
- Introduction
- Multi-Modal/imagery input
- Predictable scaling
- Performance on exams
- Rule-Based Reward Models RBRMs
- Spatial Awareness of non-vision GPT-4
- Non-multimodel vision ability
- Programming
- Theory of Mind
- Music and Math
- Challenges w/ Planning
- Hallucinations
- Risks
- Biases
- Privacy
- Generative Models used in Training/Evals
- Acceleration
- AGI
Taught by
sentdex
