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keywords ai

AIChief Verdict

AIChief Rating

(4.7)

In the fast-paced realm of AI development, Keywords AI emerges as a pivotal tool for developers aiming to streamline the creation, deployment, and monitoring of Large Language Model (LLM) applications. Designed with simplicity and efficiency in mind, Keywords AI allows developers to integrate LLM capabilities into their applications with just two lines of code. This ease of integration is complemented by a comprehensive suite of features that facilitate testing, monitoring, and optimization of AI applications in real-time. Whether you’re a startup or an established enterprise, Keywords AI offers a scalable solution to enhance the reliability and performance of your AI-driven products. The editorial team at AIChief recommends Keywords AI for developers seeking a robust platform to manage the complexities of LLM application development.

Features
(4.6)
Accessibility
(4.7)
Compatibility
(4.6)
User Friendliness
(4.5)

What is Keywords AI?

keywords ai

Keywords AI is a reliable tool for developers. That’s because it can help them build, scale, and deploy the LLM apps easily. Keywords AI has created a unified interface and it is quite intuitive. This makes it easier to build proper products because the integration is simple. 

The good thing is that you only need two lines of code to launch and scale LLM apps. There is a playground available to test the models. In addition, there is a prompt management feature, making it easier to manage the prompts. Also, you will be able to improve the prompts. 

On top of everything, there are pre-built dashboards. These dashboards are enough to keep an eye on user logs and LLM metrics. Lastly, you will get the production performance monitoring, and the evaluations are automated.

Keywords AI Review Summary
Performance Score A+
LLM Quality Functional and analytically correct LLM apps and models
Interface Highly intuitive interface
AI Technology Natural language processing, Machine learning algorithms
Purpose of Tool Create, scale, and deploy the LLM apps with only two code lines
Compatibility Web-based Interface, API integration
Pricing A free plan is available. Two paid plans are available.

Who is Using Keywords AI?

  • AI Developers: If you’re an AI developer looking to build and deploy LLM applications, Keywords AI provides the tools and resources you need. 
  • Businesses: If you’re a business looking to leverage LLM technology to improve your products or services, Keywords AI can help you develop and deploy custom LLM applications. 
  • Researchers: If you’re a researcher studying natural language processing or AI, Keywords AI can provide a platform for your experiments and research.

Keywords AI Key Features

LLM Logs
Proxy and API Key Management
LLM Playground
Custom Metadata
Text Generation
Dataset
Webhooks and Alerts
Load Balancing
Error Handling
User Analytics
Prompt Engineering
Test Sets

Is Keywords AI Free?

Yes, there is a free version available and you get two seats. In addition, you get community support and 10k free logs. Two paid plans are available: one of them costs $299, and the second one has custom pricing. 

Team Plan

  • Costs $299 a month 
  • 5 seats 
  • 1 million free logs 
  • Customized evaluations 

Enterprise Plan 

  • Custom pricing and custom features

Keywords AI Pros & Cons

Pros

  • Only needs two lines of code.
  • Ability to create and deploy the LLM apps.
  • Ability to scale LLM apps.
  • Monitor the performance of LLM apps.
  • An analytics dashboard is used to keep an eye on metrics.

Cons

  • Limited logs in the free version.

FAQs

Is it easy to trace the LLM app with Keywords AI?

Yes, you can use it to trace different LLM apps and requests. For this purpose, you can use metrics, evaluations, and logs to optimize the apps.

Can I run experiments with Keywords AI?

Yes, it is possible to run experiments with Keywords AI because you can use models and prompts. In fact, there are more than 100 models available.

Is it possible to do A/B testing with Keywords AI?

Yes, Keywords AI can help with A/B testing. That’s because it can use prompt management and playground to test models.

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Disclosure: We may earn a commission from partner links. Commissions do not affect our editors’ opinions or evaluations.

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