Introduction

On Pi Day (March 14, 2023), OpenAI unveiled their most advanced large language model, GPT-4. This new model boasts a multimodal interface, allowing it to process both text and images, and generate highly coherent and contextual responses. In this newsletter, we'll dive deep into the capabilities of GPT-4 (Reference: Technical Report for GPT-4 ), how it compares to its predecessor GPT-3, and explore the potential implications of this groundbreaking technology.

Capabilities of GPT-4

GPT-4, like previous GPT models, is a Transformer-based language model trained to predict the next token in a sequence of text. However, this latest iteration introduces several key advancements:

1. Multimodal Interface: GPT-4 can process both text and images, allowing it to understand and generate responses based on multimodal inputs.
2. Reinforcement Learning from Human Feedback (RLHF): GPT-4 utilizes RLHF, similar to InstructGPT, to closely align its outputs with user intent and promote trust and safety.
3. Expanded Context Window: GPT-4 can handle input contexts of up to 32,000 words, a significant increase from its predecessors.
4. Improved Performance: As shown in the table from the technical report, GPT-4 outperforms previous models on a variety of benchmarks, including standardized exams and research tasks.

GPT-4 vs. GPT-3: Key Differences

While GPT-4 builds upon the foundation laid by GPT-3, there are several notable differences that set it apart:

1. Summarization Capabilities: GPT-4 can generate more complex and nuanced summaries, even with specific requirements, such as summarizing an article using only words starting with the letter 'G'.
2. Coding Assistance: GPT-4 can not only write code for specific tasks but also understand and fix errors in existing code without any additional context. The GPT-4 demo depicts that GPT-4's coding ability has been significantly bolstered compared to its predecessors.
3. Visual Understanding: GPT-4 can process hand-drawn website blueprints and generate the corresponding functional website in a matter of minutes.
4. Academic Performance: GPT-4 outperforms previous models on a range of standardized exams, including the bar exam, GRE, and SAT. The table below depicts the performance of GPT-4 on a variety of exams:

Let us look at some of the visual examples of GPT-4 demoed here below:

Another interesting advancement for GPT-4 has been depicted in this demo . The developer gives the blueprint of the website in a notebook page and the website is devised in a matter of minutes as shown below:

Technical Advancements

Under the hood, GPT-4 introduces several technical improvements that contribute to its enhanced capabilities:

1. Expanded Context Window: GPT-4 can handle input contexts of up to 32,000 words, allowing it to draw upon a much broader range of information.
2. Improved Benchmarking Performance: As shown in the image, GPT-4 outperforms existing models and state-of-the-art systems on a variety of traditional machine learning benchmarks.

GPT-4 passes a simulated bar exam with a score around the top 10% of test takers; in contrast, GPT-3.5’s score was around the bottom 10%. (Reference )

GPT-4 also outperforms popular LLMs on certain research benchmarks such as, MMLU, HellaSWAG and TextQA as shown below (Reference ):

Limitations and Future Potential

While GPT-4 represents a significant leap forward in language model capabilities, it still has limitations. Like its predecessors, GPT-4 can hallucinate facts and make errors in reasoning, requiring the output to be verified before use.

Additionally, GPT-4's knowledge is limited to events prior to September 2021, the cutoff date for its training data. However, the potential applications of this technology are vast, particularly in the realm of multimodal search engines, where the combination of text and visual understanding could revolutionize how we interact with information.

Conclusion

The release of GPT-4 marks a significant milestone in the field of natural language processing and artificial intelligence. With its multimodal capabilities, expanded context window, and improved performance across a range of tasks, GPT-4 sets a new standard for language models. As we continue to explore the potential of this technology, it will be fascinating to see how it can be leveraged to enhance our lives and transform the way we interact with information.

Stay tuned for more updates on the latest developments in GPT4 and other cutting-edge Large language models by subscribing to my newsletter (AI Scoop ). You can also follow Snigdha Kakkar on LinkedIn and SUBSCRIBE to my YouTube channel (AccelerateAICareers ) for in-depth analyses and insights into the world of Generative AI and Natural Language Processing.