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Explore your unstructured data and power buisness and AI intelligence.
NLU Design
Train, evaluate and continuously optimize custom NLU models using unstructured data.
NLG Design
Guarantee prompt performance and observe LLM input/output at scale (beta).
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Google Cloud and Human First make it design, test , and launch scalable AI prompts and models you can trust using your unstructured data.
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Data Insights
Explore your unstructured data using NLU and prompts
NLU Design
Train, evaluate and continuously improve custom NLU
models using unstructured data
NLG Design
Guarantee prompt performance, and observe
LLM input/output data at scale (beta)
LLM fine-tuning (coming soon)
Prepare labeled data to fine-tune LLMs
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Add the intersection of NLU, LLMs and natural language data

RAG Evaluation

Retrieval Augmented Generation (RAG) is a very popular framework or class of LLM Application. The basic principle of RAG is to leverage external data sources to give LLMs contextual reference. In the recent past, I wrote much on different RAG approaches and pipelines. But how can we evaluate, measure and quantify the performance of a RAG pipeline?

COBUS GREYLING
5 min read

Intent Disambiguation

We’re moving away from first-generation chatbots and into the world of complex conversational AI strategies as a means of interacting and delivering on multi-faceted customer requests. This means that the volume of conversations across channels is scaling…quickly.

ALEX DUBOIS
3 MIN READ
Articles

Continuous AI Improvement

With the emergence of platforms democratizing conversational AI, there’s a smaller hurdle to get a basic NLU model up and running. The real work starts when your conversational AI project is in production and conversations you would have never expected are thrown at you.

ALEX DUBOIS
4 MIN READ
Articles

Why It’s Time to Move Beyond Sentiment Analysis

The customer landscape is no longer represented by a one-dialogue offering. When customers share their feedback with you, they expect you to listen and act.

ALEX DUBOIS
4 MIN READ
Articles

The Importance of High-Quality Training Data

In the new AI/NLU paradigm, businesses realize that complex algorithms will no longer sustain their competitive advantage. The advantage lies in the ability to curate and utilize high-quality training data.

ALEX DUBOIS
4 MIN READ
Articles

Buying vs. Building enterprise-ready solutions

The decision to build proprietary solutions or buy ready-made software is important for companies investing in a long-term digital vision and roadmap.

ALEX DUBOIS
4 MIN READ
Customer Stories

NLU at scale: 1000+ intents powering eHealth's Call Center AI and Analytics

eHealth is one of the largest online marketplaces for health insurance in the United States.

ALEX DUBOIS
4 MIN READ
Tutorial

Syncing Dialogflow with HumanFirst

How to import an existing Dialogflow agent to HumanFirst using our command line integration.

ALEX DUBOIS
2 MIN READ
Tutorial

Bottom-up NLU with HumanFirst

Learn how to apply the tried and tested divide-and-conquer approach to labeling large datasets using HumanFirst.

ALEX DUBOIS
3 MIN READ
Articles

A bottom-up approach to NLU

Bottom-up labeling applies the tried and tested divide-and-conquer approach to this problem, with great success.

ALEX DUBOIS
4 MIN READ
Tutorial

Labeling Data at Scale with HumanFirst

Learn how to make use of HumanFirst to accelerate the labeling process of conversational data.

ALEX DUBOIS
3 MIN READ
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