∗ This is part one of a two part series, please also take a look part two, the Cobus Quadrant of NLU Design.

This article covers a short intro to AI21 followed by some practical examples on how to incorporate the AI21 LLM API in a LangChain application. And yes, there exist an AI21 labs wrapper within the LangChain framework. —

Large Langauge Models (LLMs) functionality can be divided into two broad categories: Generative & Predictive. —

I took human and AI generated text from various sources, including LLMs and submitted it to the OpenAI Classifier. The objective was to gauge the classifier’s ability to detect the origin of text content. —

Langchain is an open-source framework which facilitates the creation of LLM based applications and chatbots. —

Their support for generative AI-powered workflows goes beyond anything seen yet on the market. —

Langchain is an open-source initiative which is addressing one of the pressing issues regarding Large Language Models (LLMs)…and that is managing a conversation. —

What native features does Wolfram NLU have and how can it be utilised? —

Currently everyone is trying to work out how to use LLM implementations in Conversational AI Frameworks…but there are other options with very similar functionality for this specific use-case. —