AI + a16z From NLP to LLMs: The Quest for a Reliable Chatbot
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Jan 10, 2025 Discover the journey of chatbots from simple search engines to sophisticated AI agents. Hear about the evolution influenced by natural language processing and the pivotal role of large language models. The discussion highlights how combing traditional methods with LLMs can enhance user interactions. Learn about the challenges faced in programming with natural language and the transformative impact of algorithms like Word2Vec. Explore strategies for integrating LLMs into transactional systems, ensuring reliability and accuracy in customer interactions.
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English-to-SQL Search Engine
- Alan Nichol's initial startup idea was an English-to-SQL search engine for marketing teams.
- It struggled because marketers preferred simpler questions, highlighting the need for nuanced multi-turn dialogue.
No-Code Limitations
- Martin Casado questions the feasibility of no-code/low-code in natural language due to ambiguity.
- Formal languages are needed for precision, especially for complex tasks involving subroutines or comparisons.
No-Code vs. Low-Code
- Nichol advises against pure no-code conversational AI, as it often requires building a full programming language within the UI.
- Instead, offer a UI for business logic but don't shy away from giving access to code when needed.