Attended the GPT-4 introduction yesterday. Impressive demo and overview of new capabilities. Tech report abstract below nd link below. Some indication of power, speed, directions and risks. Somewhat weak in spefific how to examples. Notable is the indication of image support.
https://cdn.openai.com/papers/gpt-4.pdf, Total paper is 98 pages
GPT-4 Technical Report
OpenAI∗ Abstract
We report the development of GPT-4, a large-scale, multimodal model which can accept image and text inputs and produce text outputs. While less capable than humans in many real-world scenarios, GPT-4 exhibits human-level performance on various professional and academic benchmarks, including passing a simulated bar exam with a score around the top 10% of test takers. GPT-4 is a Transformer based model pre-trained to predict the next token in a document. The post-training alignment process results in improved performance on measures of factuality and adherence to desired behavior. A core component of this project was developing infrastructure and optimization methods that behave predictably across a wide range of scales. This allowed us to accurately predict some aspects of GPT-4’s performance based on models trained with no more than 1/1,000th the compute of GPT-4. ...
Introduction: ....
Notable Overviews:
GPT 4, 9 Insights
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