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Description
Handit.ai serves as an open-source platform that enhances your AI agents by perpetually refining their performance through the oversight of every model, prompt, and decision made during production, while simultaneously tagging failures as they occur and creating optimized prompts and datasets. It assesses the quality of outputs using tailored metrics, relevant business KPIs, and a grading system where the LLM acts as a judge, automatically conducting AB tests on each improvement and presenting version-controlled diffs for your approval. Featuring one-click deployment and instant rollback capabilities, along with dashboards that connect each merge to business outcomes like cost savings or user growth, Handit eliminates the need for manual adjustments, guaranteeing a seamless process of continuous improvement. By integrating effortlessly into any environment, it provides real-time monitoring and automatic assessments, self-optimizing through AB testing while generating reports that demonstrate effectiveness. Teams that have adopted this technology report accuracy enhancements exceeding 60%, relevance increases surpassing 35%, and an impressive number of evaluations conducted within just days of integration. As a result, organizations are empowered to focus on strategic initiatives rather than getting bogged down by routine performance tuning.
Description
Laminar is a comprehensive open-source platform designed to facilitate the creation of top-tier LLM products. The quality of your LLM application is heavily dependent on the data you manage. With Laminar, you can efficiently gather, analyze, and leverage this data. By tracing your LLM application, you gain insight into each execution phase while simultaneously gathering critical information. This data can be utilized to enhance evaluations through the use of dynamic few-shot examples and for the purpose of fine-tuning your models. Tracing occurs seamlessly in the background via gRPC, ensuring minimal impact on performance. Currently, both text and image models can be traced, with audio model tracing expected to be available soon. You have the option to implement LLM-as-a-judge or Python script evaluators that operate on each data span received. These evaluators provide labeling for spans, offering a more scalable solution than relying solely on human labeling, which is particularly beneficial for smaller teams. Laminar empowers users to go beyond the constraints of a single prompt, allowing for the creation and hosting of intricate chains that may include various agents or self-reflective LLM pipelines, thus enhancing overall functionality and versatility. This capability opens up new avenues for experimentation and innovation in LLM development.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
Free
Free Trial
Free Version
Pricing Details
$25 per month
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
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
Vendor Details
Company Name
Handit
Founded
2024
Country
United States
Website
www.handit.ai/
Vendor Details
Company Name
Laminar
Country
United States
Website
www.lmnr.ai/
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)