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OpenAI's GPT-4: The Latest Milestone in Deep Learning

Are you ready for the next big thing in deep learning? OpenAI has just released its latest model, GPT-4, and it's setting new benchmarks for artificial intelligence. GPT-4 is a large multimodal model that can handle both image and text inputs and produce text outputs. It may not be as capable as humans in all real-world scenarios, but it exhibits human-level performance on various professional and academic benchmarks. This is a big step forward in the development of artificial intelligence, and it's something to be excited about.

Capabilities of GPT-4

GPT-4 is a Transformer-based model pre-trained to predict the next token in a document. This means that it can take in text inputs and produce text outputs with a high degree of accuracy. It can also accept image inputs, which is a significant step forward in the development of AI. GPT-4 has been tested on a variety of benchmarks, including simulating exams that were originally designed for humans. It has passed a simulated bar exam with a score around the top 10% of test takers, which is a significant achievement.

The difference between GPT-3.5 and GPT-4 may be subtle in casual conversation, but it becomes apparent when the complexity of the task reaches a sufficient threshold. GPT-4 is more reliable, creative, and able to handle much more nuanced instructions than its predecessor. This is due in part to the post-training alignment process that OpenAI used to improve GPT-4's performance on measures of factuality and adherence to desired behavior.

Visual Inputs

One of the most exciting features of GPT-4 is its ability to accept visual inputs. This means that it can take in both text and image inputs and produce text outputs. GPT-4 exhibits similar capabilities on image inputs as it does on text-only inputs, which is a significant step forward in the development of AI. It can also be augmented with test-time techniques that were developed for text-only language models, including few-shot and chain-of-thought prompting. However, image inputs are still a research preview and not publicly available.

Limitations

Despite its capabilities, GPT-4 still has some limitations. It may "hallucinate" facts and make reasoning errors, which is a concern in high-stakes contexts. Great care should be taken when using language model outputs, and the protocol used should match the needs of a specific use-case. However, GPT-4 significantly reduces hallucinations relative to previous models, which is a step in the right direction. It scores 40% higher than OpenAI's latest GPT-3.5 on the company's internal adversarial factuality evaluations.

GPT-4 passes basically every exam. And doesn't just pass...

The Bar Exam: 90%, LSAT: 88%, GRE Quantitative: 80%, Verbal: 99%, Every AP, the SAT...

Collaboration and Open-Sourcing

OpenAI is collaborating closely with a single partner to prepare the image input capability for wider availability. It's also open-sourcing OpenAI Evals, their framework for automated evaluation of AI model performance. This will allow anyone to report shortcomings in their models to help guide further improvements. This is a significant step forward in the development of AI, as it will help to create a more transparent and collaborative process.

Conclusion

The release of GPT-4 is a significant milestone in the development of artificial intelligence. It's a large multimodal model that can handle both image and text inputs and produce text outputs. While it may not be as capable as humans in all real-world scenarios, it exhibits human-level performance on various professional and academic benchmarks. This is a big step forward in the development of AI, and it's something to be excited about. The ChatGPT 4 version will first be available for paying Plus users and perhaps later for free users as well.

#OpenAI #GPT4 #ArtificialIntelligence #DeepLearning #Tech

Author: Christian Kromme

First Appeared On: Disruptive Inspiration Daily