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GPT-4 Turbo, Custom GPTs & the Assistants API: How OpenAI's New Tools Will Affect You

November 2023
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At OpenAI Dev Day, OpenAI announced a host of new generative AI functionality. GPT-4 is getting faster and cheaper, text generation is becoming more customizable, and there's a new API to help you build generative AI products.

In this session, we discuss these new features, how you can make use of them, and how they will impact your work and your business.

Key Takeaways:

  • Learn about the new developments from OpenAI.
  • Learn how to take advantage of the new generative AI tools.
  • Understand how generative AI is developing, and learn what skills you'll need to keep up.

Additional Resources

Slides

The OpenAI keynote

[BLOG] OpenAI Announce GPT-4 Turbo With Vision: What We Know So Far

[BLOG] OpenAI Announces GPTs and ChatGPT Store

[BLOG] OpenAI Announces the Assistants API

[SKILL TRACK] AI Fundamentals

Summary

OpenAI recently unveiled several innovations at their developer conference, with a key highlight being the introduction of GPT-4 Turbo. This updated model offers faster performance, a more recent knowledge cutoff, and a cost-effective alternative to the previous GPT-4. The knowledge cutoff has been extended to handle data up to 19 months beyond the previous limit, enhancing its relevance for coding and product feature inquiries. GPT-4 Turbo also brings an increase in the supported context window size, allowing for longer document processing and maintaining conversation continuity. However, accuracy may decrease in the middle of this expanded context. The model now includes multimodal capabilities with GPT-4 Turbo with Vision, enabling image-to-text conversions, automated captioning, and text extraction. OpenAI also introduces the concept of custom GPTs, allowing users to create models with specific instructions and voice tones. This innovation could revolutionize user interaction in business settings. A GPT store is also in the works, providing developers with a platform to monetize their custom models. Furthermore, OpenAI's Assistance API now incorporates advanced data analysis and improved function calling, promising to simplify AI development processes.

Key Takeaways:

  • GPT-4 Turbo provides faster performance and is trained on more recent data, enhancing its utility for current events and coding inquiries.
  • The context window of GPT-4 Turbo can process up to 128,000 tokens, enabling longer document handling and conversations.
  • With GPT-4 Turbo with Vision, the model now offers multimodal AI capabilities, including image-to-text and text extraction.
  • OpenAI allows the creation of custom GPTs with defined instructions and tone, offering new doors for personalized AI interactions.
  • The upcoming GPT store will provide developers with an opportunity to monetize their custom models, fostering innovation and user engagement.

Deep Dives

Features of GPT-4 Turbo

GPT-4 Turbo, the latest ve ...
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rsion of OpenAI's language models, offers improved speed and data relevancy. This update enhances data handling with a knowledge cutoff that extends to 19 months beyond the previous limit. This is particularly beneficial for tech and business users who rely on up-to-date data for coding and product feature inquiries. As mentioned in the webinar, "For data science use cases, this is really, really important to have up-to-date knowledge about the latest versions of packages, the latest code that's being used." This update enhances GPT-4 Turbo's accuracy and relevance, reducing the likelihood of incorrect responses when inquired about recent events.

Expanded Context Window in GPT-4 Turbo

GPT-4 Turbo now supports up to 128,000 tokens, enabling it to handle large documents and maintain prolonged interactions. This means users can now input larger volumes of text, equivalent to about 240 pages, and maintain a coherent conversation without losing context. However, a potential challenge is the U-shaped accuracy curve, indicating potential decreases in precision during mid-conversation phases. This is a consideration that developers will need to keep in mind as they integrate these capabilities into their applications.

Multimodal AI Capabilities in GPT-4 Turbo with Vision

The introduction of GPT-4 Turbo with Vision marks a step towards multimodal AI, enabling text generation from images. This feature can automate the generation of alternative text for web images, a task often found tedious and complex by developers. Beyond alternative text, this capability extends to creative captioning and text extraction from images, expanding the potential applications of GPT-4 Turbo in content creation and digital accessibility.

Creating Custom GPTs and the GPT Store

OpenAI's introduction of customizable GPTs represents a step towards personalized AI experiences. Users can now create models with specific instructions, limiting responses to predefined topics and tones. This feature is particularly attractive for businesses looking to deploy AI in customer service or corporate training environments. Additionally, the upcoming GPT store provides a platform for developers to publish and monetize their custom models, encouraging innovation and community engagement.

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