To advance AI capabilities in the workplace, OpenAI has announced a series of updates to its pioneering generative AI models, GPT-3.5 Turbo and GPT-4.
These enhancements include the revolutionary introduction of new function call capabilities, improved steerability, expanded context for GPT-3.5 Turbo, and a revised pricing structure, giving developers advanced high-performance AI It is intended to provide an extended toolbox for creating applications. The complexity of the modern work environment.
Applications powered by OpenAI
Developers aren’t the only ones to benefit from the latest improvements to OpenAI’s GPT model. You’ve probably used tools that implement OpenAI’s AI advancements.
- Microsoft has partnered with OpenAI to deliver AI models for developers to power popular products like Bing and Office with generative AI.
- Snapchat has launched a generative AI chatbot My AI using the OpenAI GPT model. My AI’s latest update now lets you send and interpret image snaps.
- Salesforce released Einstein GPT, the first generative AI CRM product powered by OpenAI’s most “advanced model”.
- Morgan Stanley has announced a partnership with OpenAI as one of the few asset managers with access to the latest GPT-4 model.
- HubSpot has developed new tools such as ChatSpot.ai based on OpenAI GPT-4.
- GitHub Copilot added generative AI using the OpenAI Codex to its platform to help developers, ultimately leading to a copyright lawsuit.
- Stripe is built with OpenAI GPT technology to understand your customers and reduce fraud.
- GetResponse introduced an email generator powered by OpenAI GPT.
- Instacart created an AI chatbot to help consumers shop for groceries.
Ideally, users of these and other tools built from OpenAI technology can see improved generative AI performance thanks to the GPT-3.5 Turbo and GPT-4 updates from OpenAI. must.
Enhancements to GPT-3.5 Turbo and GPT-4
Below are the latest updates announced by OpenAI to the GPT-3.5 Turbo and GPT-4 models. Updates include new function call capabilities for the Chat Completions API, improved steering abilities, expanded context for GPT-3.5 Turbo, and reduced pricing.
function call function
Based on developer feedback and feature requests, OpenAI has provided developers with the ability to write functions in their updated model and have AI intelligently generate JSON objects containing the arguments for those functions. This enhancement improves the reliability of GPT’s functionality and connectivity with external tools and APIs, and supports the retrieval of better-structured data from your models.
The new function call functionality enables a variety of applications such as:
- creating chatbots that call external tools to answer questions,
- Converting natural language queries into function calls, API calls, or database queries.
- Extract structured data from text.
- New API parameters provide developers with a way to write functions to the model and optionally request the model to call a specific function.
The introduction of function calls opens up new possibilities for developers. GPT models can be more seamlessly integrated with other APIs or external tools.
For example, a workplace app can use this feature to translate a user’s natural language queries into function calls to a CRM or ERP system, making the application more user-friendly and efficient.
While OpenAI remains alert to potential security issues related to untrusted data, developers should only use information from trusted tools and include user verification steps before taking impactful actions. I suggest that you protect your application with
Developers can sign up on the waiting list to get access to GPT-4.
Improving the model
New GPT-4 and GPT-3.5 Turbo models incorporate improved maneuverability and expanded context.
Developers can take advantage of the improved steering ability to get closer to the specific requirements of their organization and tasks, such as generating more targeted business reports or creating detailed, context-aware responses in customer service chatbots. You can design AI applications that match
The release of GPT-3.5 Turbo-16k can provide four times the context length of standard GPT-3.5 Turbo, supporting up to 20 pages of text in a single request. This expanded contextual capacity enables AI to understand much larger bodies of text and generate responses.
For example, in legal and academic workplaces where documents tend to be long, this feature could significantly improve the model’s ability to understand and summarize large amounts of text, making information extraction more efficient. I have. Similarly, for project management applications, AI can now process and understand an entire project plan at once, helping generate more insightful project analysis and forecasts.
OpenAI also announced the retirement of previous GPT-4 and GPT-3.5 Turbo versions, with older models remaining accessible until September 13th. Developers were assured of a smooth transition and encouraged to provide feedback to improve the process.
Low price
Following improvements in system efficiency, OpenAI is passing cost savings back to developers.
Save 75% on the price of using the popular embedding model text-embedding-ada-002. Additionally, the input token cost for the GPT-3.5 Turbo model is reduced by 25%.
I would also like to mention again that the price of embedding has decreased by 75%. This is actually pretty crazy. Previously, he could embed the entire Internet for around $50 million, but now he’s down to $12.5 million. https://t.co/fyhQVGPEi8
—Logan.GPT (@OfficialLoganK) June 13, 2023
Together with the feature enhancements, these price reductions make it easier for developers to experiment with these models in their applications.
Continued development of the GPT model
OpenAI seems committed to continuously improving the platform based on developer feedback. With the latest enhancements to generative AI models, OpenAI offers developers new possibilities for creating innovative and improved AI applications for the workplace.
The latest API updates and GPT model give developers more capabilities to create AI applications better suited to handle the complexity and peculiarities of tasks commonly found in the workplace.
Featured Image: iama_sing/Shutterstock
