How OpenAI’s New Function Calling Breaks Programming Boundaries
Last Updated on June 28, 2023 by Editorial Team
Author(s): Skanda Vivek
Originally published on Towards AI.
New OpenAI ChatGPT/GPT-4 function calling bridges the gap between deterministic and non-deterministic programming — leading to all sorts of possibilities

interface between a well-defined city and abstract clouds U+007C Bing Image Creator
A couple of days back, on June 13th, 2023, OpenAI released some exciting updates — cheaper ChatGPT/GPT-4 models, cheaper embeddings model, and a 4X increase in context length. But apart from this, there was a new innovation that might just completely revamp the way we write code to interact with machines. The way we code, is significantly more rigid than the way we write. The same content can be conveyed very differently by different authors — or even by one author, at different times. If I were to delete… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.