From failure to success: The birth of GrabGPT, Grab’s internal ChatGPT

From failure to success: The birth of GrabGPT, Grab’s internal ChatGPT

• Introduction: This is the story of how a failed experiment led to the creation of GrabGPT, an internal ChatGPT tool at Grab, demonstrating the potential of Large Language Models (LLMs) within the organization.

• The first attempt: A chatbot for platform support: The initial idea was to build a chatbot using open-source frameworks and platform Q&A documentation to handle user queries. This led to the realization that Grab lacked its own ChatGPT tool, paving the way for the birth of Grab’s ChatGPT.

• Day 2: 600 new users: GrabGPT quickly gained popularity among Grabbers, especially in regions where other similar tools were inaccessible, such as China, with 600 new users on the second day of its launch.

• Why GrabGPT works: More than just technology: The success of GrabGPT is attributed to factors beyond technology, including timing, security, and accessibility, making it a pivotal tool within Grab.

• Timing matters: GrabGPT succeeded by addressing a critical need at the right time within the organization.

• Collaboration is key: The involvement and contributions of Grabbers played a crucial role in the scaling and success of GrabGPT, highlighting the importance of collaboration in such projects.

• Conclusion: The story of GrabGPT emphasizes the value of experimentation, adaptability, and the potential for success even in the face of initial failures. It encourages readers to embrace pivots in their projects and invites Grabbers to explore the capabilities of GrabGPT within the organization.

If you are feeling stuck in your project, don't hesitate to pivot, as your next failure could lead to your greatest success. And if you are at Grab, consider trying out GrabGPT, a tool born out of experimentation and collaboration.