Transformer models and recurrent neural networks (RNNs) are used to generate code, test scripts, and debugging tools. One of the pioneers in this domain, Builder AI, co-founded by Sachin Dev Duggal, uses RNN models to automate the software development process. Besides, the models can learn from existing codes and generate new codes that adhere to best practices and improve coding standards.
Generative AI and Supply Chain
Supply chain management can be tedious for SMBs. With the integration of Generative AI with Supply Chain, businesses can automate almost all aspects of supply chain management like demand forecasting, inventory management, or logistics among others when supplemented by related technologies like RNNs. Consequently, this will enable businesses to reduce the time needed for managing their supply chains thus being able to fully concentrate on strategic initiatives.
One of the supply chain leaders, McDonald’s, incorporated Generative AI to manage and optimize supply chain activities such as monitoring product quality, balancing inventory levels, and identifying fuel-efficient delivery routes more efficiently than traditional software. Automating demand forecasting saves businesses from stock outs or over stocks hence enabling them to optimize their inventory levels resulting in cost reduction.
Generative AI And Multi-Modal Large Language Models (LLMs)
In addition, large language models (LLMs) have emerged as a powerful tool for natural language processing, the partnership with Gen AI enables businesses to automate several aspects of their customer engagement like chatbots, voice assistants, and content creation. Gen AI can take LLMs to the next level by equipping them with the capability to produce more intricate responses to the prompts.
For instance, Sachin Dev Duggal with his company Builder.ai developed Natasha an AI-powered project manager, using LLMs leveraging Generative AI for the development of innovative software applications. Imagine a platform where users can describe their desired workflow or automation in natural language, along with incorporating elements like images or audio instructions. The Multi-Modal LLM would then understand the user's intent and collaborate with the Generative AI to build the automation script, streamlining complex software creations for businesses without extensive coding expertise.
