Apps 2023-01-19
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Stack AI

5.0(2)
24
1
Rapid creation of bespoke apps.
Generated by ChatGPT

Stack AI is a no-code tool that allows teams to quickly and efficiently build and deploy custom Large Language Models (LLMs) including ChatGPT into their products or teams.

The platform enables users to create various applications such as chatbots, document processing, database question answering, and content creation. Stack AI’s intuitive graphical interface enables developers to easily connect LLMs with vector databases, tools, and data loaders.

The platform comes with a diverse library of templates for common workflows, making it easy to jumpstart projects without needing to write any code. Stack AI offers the flexibility to experiment with multiple prompts and LLM architectures, allowing for rapid iteration and fine-tuning to align with specific product needs.

The tool is trusted by leading companies such as JustPaid, Smartasset, and Yummy and is backed by renowned visionaries such as Soma Capital and Y Combinator.

Stack AI enables users to create production-ready applications that are fine-tuned for specific use cases and can be quickly delivered to users as APIs.

With Stack AI, users can easily load data from various sources, integrate with any API, run fine-tuning jobs, and deliver AI workflows with minimal latency.

Security is also prioritized, and Stack AI ensures the data processed and stored is secure. Pricing options are available, and users have the option to use their own API keys.

Stack AI is an efficient and user-friendly tool for teams looking to incorporate AI workflows into their products without needing to write any code.

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Comments(1)
Oct 5, 2023
It's just crazy how much you can automate with Stack AI given how young they are... insane progress. Keep up the good work guys!
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Stack AI was manually vetted by our editorial team and was first featured on June 20th 2023.
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Pros and Cons

Pros

Rapid creation of bespoke apps
Efficient custom LLMs deployment
Multiple applications creation
Easy LLMs and database connection
Workflow templates library
Allows experimentation with prompts
Fine-tuning for product Specific needs
Trusted by leading companies
Quick API delivery
Supports data loading from various sources
API Integration
Runs fine-tuning jobs
Prioritizes security
Flexible pricing options
Usage of own API keys
Enables deployment without code
Supports multiple LLM architectures
Product specific LLM fine-tuning
Data can be loaded from files, websites, databases
Supports Google Search and WolframAlpha
Optimal LLM creation
Applications creation via drag and drop

Cons

Limited template library
Relies heavily on LLMs
No explicit offline support
Latency may vary
No explicit multi-language support
Lack of dedicated mobile apps
No direct email integration
Insufficient documentation provided

Q&A

What is Stack AI?
What are some of the applications that can be created using Stack AI?
How can I connect Large Language Models (LLMs) with Stack AI?
Does Stack AI offer templates for common workflows? If so, which ones?
What does it mean that Stack AI allows for rapid iteration and fine-tuning?
Can Stack AI be trusted with data security?
What top companies use Stack AI?
Who backs the development of Stack AI?
In what format does Stack AI deliver AI workflows?
What sources can Stack AI load data from?
Can Stack AI integrate with any API?
How does Stack AI handle fine-tuning jobs?
What is the latency like with Stack AI-delivered AI workflows?
What pricing options are available for Stack AI?
Is it possible to use my own API keys with Stack AI?
What benefits do developers get from using Stack AI?
How intuitive is the graphical interface of Stack AI?
How can I leverage Stack AI to automate customer support and other tasks?
How can Stack AI be used to extract insights from documents?
How quick is the process of creating applications with Stack AI?

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