Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Lilac is an open-source platform designed to help data and AI professionals enhance their products through better data management. It allows users to gain insights into their data via advanced search and filtering capabilities. Team collaboration is facilitated by a unified dataset, ensuring everyone has access to the same information. By implementing best practices for data curation, such as eliminating duplicates and personally identifiable information (PII), users can streamline their datasets, subsequently reducing training costs and time. The tool also features a diff viewer that allows users to visualize how changes in their pipeline affect data. Clustering is employed to categorize documents automatically by examining their text, grouping similar items together, which uncovers the underlying organization of the dataset. Lilac leverages cutting-edge algorithms and large language models (LLMs) to perform clustering and assign meaningful titles to the dataset contents. Additionally, users can conduct immediate keyword searches by simply entering terms into the search bar, paving the way for more sophisticated searches, such as concept or semantic searches, later on. Ultimately, Lilac empowers users to make data-driven decisions more efficiently and effectively.
Description
Build, test and optimize Generative AI apps that unlock the value in your data.
Our industry-leading ML expertise, our state-of-the art test and evaluation platform and advanced retrieval augmented-generation (RAG) pipelines will help you optimize LLM performance to meet your domain-specific needs.
We provide an end-toend solution that manages the entire ML Lifecycle. We combine cutting-edge technology with operational excellence to help teams develop high-quality datasets, because better data leads better AI.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
OpenAI
Yes
Amazon S3
No
Azure Blob Storage
No
Azure Marketplace
No
Claude
No
Cohere
Yes
Coral
No
Diffgram Data Labeling
No
Docker
Yes
Google Cloud Storage
No
Integrations
OpenAI
Yes
Amazon S3
Yes
Azure Blob Storage
Yes
Azure Marketplace
Yes
Claude
Yes
Cohere
No
Coral
Yes
Diffgram Data Labeling
Yes
Docker
No
Google Cloud Storage
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Lilac
Country
United States
Website
www.lilacml.com
Vendor Details
Company Name
Scale AI
Founded
2016
Country
United States
Website
scale.com
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
Yes
For Sales
Yes
For eCommerce
Yes
Image Recognition
Yes
Machine Learning
Yes
Multi-Language
Yes
Natural Language Processing
Yes
Predictive Analytics
Yes
Process/Workflow Automation
Yes
Rules-Based Automation
Yes
Virtual Personal Assistant (VPA)
No
Machine Learning
Deep Learning
Yes
ML Algorithm Library
Yes
Model Training
Yes
Natural Language Processing (NLP)
Yes
Predictive Modeling
Yes
Statistical / Mathematical Tools
No
Templates
Yes
Visualization
Yes
Natural Language Processing
Co-Reference Resolution
Yes
In-Database Text Analytics
Yes
Named Entity Recognition
Yes
Natural Language Generation (NLG)
Yes
Open Source Integrations
No
Parsing
Yes
Part-of-Speech Tagging
Yes
Sentence Segmentation
Yes
Stemming/Lemmatization
No
Tokenization
No