A few months ago, Andrew Ng, the founder of DeepLearning.AI, came up with a course on building LLM apps with LangChain.js. It focussed on creating context-aware LLM applications, and pointed at how a programming language which rules the web development market has the potential to build AI applications.
A few weeks ago, two senior developers, Tejas Kumar and Kevin Ball, came together to release a new course on building LLM agents in JS. They explored different ways to use JavaScript for building agents, leveraging libraries like TensorFlow.js.
JavaScript, which is mostly used for web development, can run AI models directly in the browser, reducing server load and enabling real-time interactivity. This is particularly useful for applications that require instant feedback or continuous updates, such as chatbots or real-time analytics.
JavaScript is the future of AI SaaS.
But why is it the best choice?
Here’s how JavaScript can help you develop AI tool:
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I’ve always been a big fan of JavaScript as a …