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Featured Speakers:

Developing better chatbots with AI-assisted labeling & LangSmith

Copyright 2024 - All Rights Reserved.

Privacy FAQ | Privacy Notice  | Cookie Notice | CCPA Notice | Terms of Use

Trusted by leading Fortune 500 enterprises and AI-fueled companies

Trusted by leading startups and Fortune 500 enterprises

LU ZHANG

Solutions Engineer - Labelbox

As chatbots become increasingly prevalent in customer support and engagement, businesses face the challenge of ensuring their chatbot applications deliver accurate, relevant, and helpful responses. Developing high-performing chatbot models requires a combination of well-annotated data, advanced language models, and efficient debugging tools.

In this webinar, we'll explore how Labelbox's AI-assisted annotation capabilities and integration with LangSmith can help you build and optimize chatbot applications more effectively. 

We'll cover a range of topics, including:

1. Techniques for annotating multimodal data to train chatbot models, including prelabeling and model-assisted review to streamline the annotation process.
2. Addressing chatbot issues by linking LangSmith traces to the Labelbox Platform, allowing you to annotate intermediate prompts, logic, context, and parameters.
3. Improving retrieval-based chatbot applications using RAG (Retrieval-Augmented Generation) reranking workflows within the Labelbox Platform.
   

MIKIKO BAZELEY

Head of DevRel - Labelbox