Steering into the Future of AI: A Deep Dive into OpenAI’s Groundbreaking Updates

Why we need general AI and why we're not there yet - The Data Scientist



The world of artificial intelligence has been revolutionized by the arrival of large-scale language models, with OpenAI at the forefront of this change. Building upon its GPT-3 model, OpenAI recently introduced groundbreaking updates such as function calling ability, improved steerability, and expanded context. This article seeks to unpack these updates, delving into their functionalities, implications, and the prospects they bring to the AI industry.

Function Calling

One of the significant advancements introduced by OpenAI is the capability for the AI to execute certain functions during a conversation. This allows for greater interactivity and increased user control over the output. It can include tasks like translating text into a specified language, generating Python code, writing a poem in a particular style, and more.

The function calling feature dramatically enhances the versatility and utility of the AI, enabling it to act as an even more powerful tool for aiding human tasks. Moreover, it moves the interaction with AI closer to natural human-like conversation, enhancing the user experience.


The concept of ‘steerability’ refers to the ability to guide the AI’s responses in a specific direction, allowing for greater user control. The latest updates from OpenAI significantly enhance this ability, making the AI more responsive to user instructions.

The improved steerability is primarily achieved through system messages, which set the behavior of the AI at the beginning of the conversation. These system messages enable the AI to adopt a specific role, such as a helpful assistant, a Shakespearean character, a Python coder, and so on, steering the AI’s responses accordingly.

In addition, the introduction of ‘user message roles’ also adds to the AI’s steerability. The user can assign roles like ‘boss’ or ‘user’, influencing the behavior of the AI in the dialogue. For instance, assigning the ‘boss’ role to the user would prompt the AI to respond in a more obedient and respectful manner.

Expanded Context

In the past, large-scale language models were often criticized for their limited context window. This resulted in a lack of continuity in long conversations as the AI would ‘forget’ the earlier parts of the conversation. OpenAI has addressed this issue in their latest update by expanding the context window of the AI.

An expanded context window means that the AI can now ‘remember’ and refer back to more of the conversation, leading to more coherent and context-aware responses. This update drastically improves the AI’s usability for longer and more complex tasks.

Implications and Prospects

These groundbreaking updates to OpenAI’s AI models bring several implications and prospects for the AI industry.

With improved function calling ability, the AI becomes an even more powerful tool for businesses, developers, and everyday users. It can perform specific tasks upon request, making it a versatile assistant in various fields such as coding, language translation, content generation, and more.

The enhanced steerability allows for a more customizable and user-centric AI experience. Users can guide the AI’s responses to suit their needs and preferences, making the AI a more effective and personalized tool.

The expanded context significantly enhances the AI’s performance in tasks that require longer conversations, such as customer service, personal assistants, tutoring, and more. It allows the AI to maintain continuity and context-awareness in long dialogues, leading to more coherent and satisfactory interactions.


OpenAI’s latest updates mark a significant step forward in the development of artificial intelligence. By introducing advanced function calling ability, improved steerability, and expanded context, OpenAI is pushing the boundaries of what AI can achieve. These updates not only enhance the AI’s capabilities but also move the interaction with AI a step closer to natural human-like conversation. As we continue to explore the vast potential of AI, these advancements will play a crucial role in shaping the future of the AI industry.

Personal Career & Learning Guide for Data Analyst, Data Engineer and Data Scientist

Applied Machine Learning & Data Science Projects and Coding Recipes for Beginners

A list of FREE programming examples together with eTutorials & eBooks @ SETScholars

95% Discount on “Projects & Recipes, tutorials, ebooks”

Projects and Coding Recipes, eTutorials and eBooks: The best All-in-One resources for Data Analyst, Data Scientist, Machine Learning Engineer and Software Developer

Topics included:Classification, Clustering, Regression, Forecasting, Algorithms, Data Structures, Data Analytics & Data Science, Deep Learning, Machine Learning, Programming Languages and Software Tools & Packages.
(Discount is valid for limited time only)

Find more … …

Unlocking the Power of AI with Priming: Enhancing Context and Conversation in Large Language Models like ChatGPT

Enhancing Analytical Thinking: A Comprehensive Guide to Brain Training for Improved Problem Solving and Decision Making

Harnessing the Power of ChatGPT: A Comprehensive User Guide