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Humanloop VS Narrow AI

Compare Humanloop VS Narrow AI and see what are their differences

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Humanloop logo Humanloop

Train state-of-the-art language AI in the browser

Narrow AI logo Narrow AI

Automated Prompt Engineering and Optimization
  • Humanloop Landing page
    Landing page //
    2023-08-23
  • Narrow AI Automated Prompt Engineering and Optimization
    Automated Prompt Engineering and Optimization //
    2024-09-16
  • Narrow AI Narrow AI Demo
    Narrow AI Demo //
    2024-09-16

Narrow AI is an Automated Prompt Engineering and Optimization platform that can autonomously write, monitor, and optimize prompts for any model - so you can ship AI features 10x faster at a fraction of the cost.

🔑 Key Features:

  • Automated Model Migration: Adapt and test prompts on new models in minutes, not weeks

  • Intelligent Cost & Performance Optimization: Find the perfect balance between accuracy and efficiency

  • Continuous Performance Monitoring: Ensure your LLM task performance stays on track

💡 Real Results:

  • We've reduced LLM task costs by 95% while maintaining consistent output quality by migrating from OpenAI models to more efficient open-weight models like Llama3 8b.

  • Our platform has helped reduce a week’s worth of manual evaluation and migration for building a report on a new model into an automated process that took less than a day.

  • Our API is also used as an embedded prompt optimizer within other AI products to help users create more reliable and cost efficient prompts in a matter of seconds.

Narrow AI is your partner in navigating the multi-model world, helping you:

✅ Stay adaptable in a rapidly changing model landscape

✅ Maximize cost efficiency

✅ Seamlessly transition between closed and open-weight models

✅ Leverage cutting-edge providers for optimal performance

Ready to transform your LLM development workflow? Learn more at getnarrow.ai

Humanloop

Website
humanloop.com
Pricing URL
Official Humanloop Pricing
$ Details
-
Release Date
-
Edit details

Narrow AI

Website
getnarrow.ai
Pricing URL
-
$ Details
freemium
Release Date
2024 August
Startup details
Country
United States
State
California
City
San Francisco
Founder(s)
Paul Fung
Employees
1 - 9
Edit details

Humanloop features and specs

  • Ease of Use
    Humanloop is designed to be user-friendly, making it easier for users with varying levels of technical expertise to create and manage machine learning models.
  • Interactivity
    The platform provides an interactive environment where users can iteratively improve their models by integrating human feedback, leading to better performance.
  • Time Savings
    By facilitating faster model iteration and immediate feedback, Humanloop helps save significant time in the machine learning development cycle.
  • Integration Capabilities
    Humanloop offers robust integration options with various tools and platforms, helping users streamline their workflows.
  • Improved Model Accuracy
    The platform allows for continuous model improvement through active learning and human-in-the-loop approaches, enhancing model accuracy over time.

Possible disadvantages of Humanloop

  • Cost
    Depending on the subscription or usage level, Humanloop may become expensive, particularly for small teams or individual developers.
  • Learning Curve
    Despite its user-friendly design, there can still be a learning curve for users new to machine learning or human-in-the-loop systems.
  • Dependence on Human Feedback
    The effectiveness of Humanloop relies heavily on the quality and consistency of human feedback, which can introduce variability and potential biases.
  • Data Privacy Concerns
    Handling and sharing data with a third-party platform may raise privacy and compliance concerns, particularly for sensitive information.
  • Limited Offline Functionality
    Humanloop's cloud-based nature means that its functionalities are limited or inaccessible without an internet connection.

Narrow AI features and specs

  • Automated Model Migration
    Adapt and test prompts on new models in minutes, not weeks
  • Intelligent Cost & Performance Optimization
    Find the perfect balance between accuracy and efficiency
  • Continuous Performance Monitoring
    Ensure your LLM task performance stays on track

Analysis of Humanloop

Overall verdict

  • Humanloop is considered a strong choice for organizations seeking to enhance their AI model development process through interactive learning and feedback integration. Its user-friendly interface and powerful features make it a valuable tool in the AI development landscape.

Why this product is good

  • Humanloop, an AI and machine learning platform, is highly regarded for its ability to effectively integrate human feedback into AI systems. It's particularly praised for enhancing model accuracy and improving user experience by allowing for seamless annotation and model training. The platform offers tools that facilitate collaboration between developers and non-technical domain experts, making it easier to refine AI models effectively.

Recommended for

  • AI developers looking to improve model performance through human feedback.
  • Teams seeking a collaborative environment to refine AI processes.
  • Companies that need an accessible tool for both technical and non-technical staff.

Humanloop videos

+ Add

Train and deploy NLP — Humanloop

More videos:

  • Review - The Great AI Implementation with Raza Habib of Humanloop

Narrow AI videos

No Narrow AI videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Humanloop and Narrow AI)

Humanloop

Narrow AI

AI
79 79%
AI
21% 21
Developer Tools
77 77%
Developer Tools
23% 23
Productivity
100 100%
Productivity
0% 0
Engineering
0 0%
Engineering
100% 100

Questions and Answers

As answered by people managing Humanloop and Narrow AI.

How would you describe your primary audience?

Narrow AI's answer:

AI Startups, AI Developers, AI Founders, CTOs

Which are the primary technologies used for building your product?

Narrow AI's answer:

React, Typescript, Webflow, Supabase, Llama

User comments

Share your experience with using Humanloop and Narrow AI. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Humanloop seems to be more popular. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Humanloop mentions (5)

  • Ask HN: Who is hiring? (December 2024)
    Humanloop | London and San Francisco | Full time in person | https://humanloop.com Humanloop is building infrastructure for AI application development. We're the LLM Evals Platform for Enterprises. Duolingo, Gusto, and Vanta use Humanloop to evaluate, monitor, and improve their AI systems. ROLES:. - Source: Hacker News / 6 months ago
  • Show HN: PromptDoggy – Prompt Management for Product and Engineering Teams
    - https://humanloop.com/) for teaching me the philosophy of implementing a copilot textarea. I wish I could have used the project directly, but integrating just one React component into Rails while keeping importmap and StimulusJS was quite challenging. Given the limited time, I decided to move on with StimulusJS. This is our first time building an open-source project to share with the world, and we’re a bit... - Source: Hacker News / 10 months ago
  • How are generative AI companies monitoring their systems in production?
    - Conversational simulation is an emerging idea building on top of model-graded eval” - AI Startup Founder Things to consider when comparing options: “Types of metrics supported (only NLP metrics, model-graded evals, or both), level of customizability; supports component eval (i.e. Single prompts) or pipeline evals (i.e. Testing the entire pipeline, all the way from retrieval to post-processing)” “+method of... - Source: Hacker News / over 1 year ago
  • Ask HN: Who is hiring? (March 2023)
    Humanloop (YC S20) | London (or remote) | https://humanloop.com We're looking for exceptional engineers that can work at varying levels of the stack (frontend, backend, infra), who are customer obsessed and thoughtful about product (we think you have to be -- our customers are "living in the future" and we're building what's needed). Our stack is primarily Typescript, Python, GPT-3. Please apply at... - Source: Hacker News / over 2 years ago
  • Compiling a list of tools for building LLM apps
    https://humanloop.com/ Find the prompts users love and fine-tune custom models for higher performance at lower cost. - Source: Hacker News / over 2 years ago

Narrow AI mentions (0)

We have not tracked any mentions of Narrow AI yet. Tracking of Narrow AI recommendations started around Sep 2024.

What are some alternatives?

When comparing Humanloop and Narrow AI, you can also consider the following products

Hugging Face - The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.

Helicone AI - Open-source LLM Observability for Developers

LangChain - Framework for building applications with LLMs through composability

Braintrust.dev - Rapidly ship AI without guesswork

Haystack NLP Framework - Haystack is an open source NLP framework to build applications with Transformer models and LLMs.

PromptLayer - The first platform built for prompt engineers

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