The Foundation Conversational AI Technologies: Version 3
Below is version 3 of “The Foundation Conversational AI Technologies” landscape…from versions 2, to version 3 a few developments have taken place..
- LLM enablement has grown with more chatbot development frameworks incorporating LLMs functionality.
- The inclusion of LLMs has evolved from primarily the generation of training data, bot response generation and conversation summarisation.
- More advanced implementations include developer assistants, complete flow generation based on instruction (prompts) and more.
- It seems like there is an expansion in the sheer number chatbot development frameworks.
💎 LLM implementations should leverage and augment existing NLU investments with a hybrid approach. Boost AI has been rightly advocating this approach.
💎 Another area which will demand future innovation is enhanced fine-tuning methods for predictive LLM implementations and generative supervision methods.
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I’m currently the Chief Evangelist @ HumanFirst. I explore and write about all things at the intersection of AI and language; ranging from LLMs, Chatbots, Voicebots, Development Frameworks, Data-Centric latent spaces and more.
