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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

HumanFirst revolutionizes the way you handle infrastructure and workflows for exploring, curating, and scaling your AI training data. Our solutions empower the expansion of NLU and NLP capabilities, significantly speeding up the advancement of conversational AI. By ensuring that authentic voice-of-the-customer data is consistently integrated, we enhance the relevance and effectiveness of your models. With HumanFirst Studio, managing voice and text data for training and refining natural language understanding (NLU) models becomes effortless. Eliminate expensive and inconsistent data ingestion and labeling procedures, opting instead for a streamlined experience that enables immediate enhancements to your AI performance using actual data. You can easily import requests from your Search and Help Center, emails, live chat, or voice call logs to ensure your AI continually learns to understand customer needs better. This allows for the discovery of intents and their enhancement in precision. The traditional approach of guessing which intents require training and manually creating training phrases can be cumbersome, often resulting in insufficient coverage and accuracy of intents, which can hinder the overall effectiveness of your AI solutions. Ultimately, embracing HumanFirst allows your organization to focus on what truly matters: delivering exceptional customer experiences driven by intelligent AI.

Description

Integrate your datasets and models into Openlayer while collaborating closely with the entire team to establish clear expectations regarding quality and performance metrics. Thoroughly examine the reasons behind unmet objectives to address them effectively and swiftly. You have access to the necessary information for diagnosing the underlying causes of any issues. Produce additional data that mirrors the characteristics of the targeted subpopulation and proceed with retraining the model accordingly. Evaluate new code commits against your outlined goals to guarantee consistent advancement without any regressions. Conduct side-by-side comparisons of different versions to make well-informed choices and confidently release updates. By quickly pinpointing what influences model performance, you can save valuable engineering time. Identify the clearest avenues for enhancing your model's capabilities and understand precisely which data is essential for elevating performance, ensuring you focus on developing high-quality, representative datasets that drive success. With a commitment to continual improvement, your team can adapt and iterate efficiently in response to evolving project needs.

Description

Declarative machine learning systems offer an ideal combination of flexibility and ease of use, facilitating the rapid implementation of cutting-edge models. Users concentrate on defining the “what” while the system autonomously determines the “how.” Though you can start with intelligent defaults, you have the freedom to adjust parameters extensively, even diving into code if necessary. Our team has been at the forefront of developing declarative machine learning systems in the industry, exemplified by Ludwig at Uber and Overton at Apple. Enjoy a selection of prebuilt data connectors designed for seamless compatibility with your databases, data warehouses, lakehouses, and object storage solutions. This approach allows you to train advanced deep learning models without the hassle of infrastructure management. Automated Machine Learning achieves a perfect equilibrium between flexibility and control, all while maintaining a declarative structure. By adopting this declarative method, you can finally train and deploy models at the speed you desire, enhancing productivity and innovation in your projects. The ease of use encourages experimentation, making it easier to refine models based on your specific needs.

API Access

Has API

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Screenshots View All

Integrations

Amazon Redshift
Apache Hive
LiteLLM
MySQL
Opik
PostgreSQL
Python
Snowflake

Integrations

Amazon Redshift
Apache Hive
LiteLLM
MySQL
Opik
PostgreSQL
Python
Snowflake

Integrations

Amazon Redshift
Apache Hive
LiteLLM
MySQL
Opik
PostgreSQL
Python
Snowflake

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

HumanFirst.ai

Founded

2017

Country

Canada

Website

www.humanfirst.ai/

Vendor Details

Company Name

Openlayer

Founded

2021

Country

United States

Website

www.openlayer.com

Vendor Details

Company Name

Predibase

Country

United States

Website

predibase.com

Product Features

Conversational AI

Code-free Development
Contextual Guidance
For Developers
Intent Recognition
Multi-Languages
Omni-Channel
On-Screen Chats
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Speech Synthesis
Virtual Assistant

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Product Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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