Infuse knowledge into language models with minimal samples.

Open

September 2, 2023

Automorphic

Database Q&A

559

No ratings

Use tool Copy 🔗

Inputs:

Outputs:

Infuse knowledge into language models with minimal samples.

Overview

Overview Releases Pricing Reviews Prompts Pros & Cons Q&A Alternatives Recommendations

Database Q&A25 0

Language Model Natural Language Understanding NLP Improvements Linguistics Text Processing Semantic Analysis

Most popular alternative: Chat With Your Database (29 saves)

View 7 alternatives Recommendations

By unverified author Claim this AI

Automorphic is a tool called Conduit that enables the infusion of knowledge into language models. It overcomes the limitations of prompt stuffing by allowing fine-tuning of language models, training adapters for behavior or knowledge, and combining them dynamically.

This tool facilitates rapid iteration on models by incorporating human-in-the-loop feedback and streamlining model deployment.Conduit improves language models by continuously updating them based on user feedback and manual labeling.

It ensures high performance and deployment efficiency by enabling quick loading and stacking of fine-tuned adapters. Compatibility with the OpenAI API allows users to seamlessly integrate Conduit into their existing codebase.The Automorphic Hub serves as a platform where publicly shared models trained and enhanced using Automorphic are made available for inference.

The hub provides access to these models, allowing users to leverage them for their own applications.Another tool offered by Automorphic is TREX, which converts unstructured data into a structured format of the user's choice, such as JSON, XML, YAML, or any other format defined by a regular expression or context-free grammar.

TREX offers a highly customizable alternative to OpenAI's functions.Aegis is a firewall tool provided by Automorphic to protect language models and users from adversarial attacks.

It defends against prompt injections, prompt and personal identifiable information (PII) leakage, and toxic language. Aegis continuously learns from usage to enhance its detection capabilities over time.

Releases

Get notified when a new version of Automorphic is released

Notify me

Initial release

June 28, 2023

Initial release of Automorphic.

+ Submit new release

Pricing

Pricing model

No Pricing

Use tool

Save

🔗 Copy link

🗳️ Vote Best AI Tool

Featured

Database Q&A Automorphic

Database Q&A

559

No ratings

Overview Releases Pricing Reviews Prompts Pros & Cons Q&A Alternatives Recommendations

Use tool

Save

Related tasks

Linguistic fractal generation1 0

Autonomous humanoids1 0

Automation guidance3 0

Chatbots177 0

Reviews

No ratings yet.

★ ★ ★ ★ ★ 0

★ ★ ★ ★ 0

★ ★ ★ 0

★ ★ 0

★ 0

How would you rate Automorphic?

Help other people by letting them know if this AI was useful.

Your rating

★ ★ ★ ★ ★

Post

Prompts & Results

Title:

Description:

Prompt type*:

Prompt*:

Output type*:

Output*:

Add your own prompts and outputs to help others understand how to use this AI.

Automorphic was manually vetted by our editorial team and was first featured on September 2nd 2023.

Promote AI Claim AI New release

Jason AI

AI-powered assistant for B2B sales outreach

Sales

Open

67,956
511
4.2

v2.5 released 1mo ago
From $500/mo
Share

22,593 jasonai.tech

piw

🙏 26 karma

Oct 8, 2025

that's such a great AI

4216 Reply Share Edit Delete Report
CodeRabbit

Enhanced code review for improved workflow and quality.

Code reviews

Open

904,741
651
3.8

v1.6 released 1mo ago
Free + from $12/mo
Share

796,126 coderabbit.ai

Sahil Mohan Bansal

🙏 235 karma

Nov 13, 2024

Reducing manual efforts in first-pass during code-review process helps speed up the "final check" before merging PRs

16122 Reply Share Edit Delete Report

Pros and Cons

Pros

Fine-tunes language models

Combines models dynamically

Allows rapid model iteration

Incorporates human feedback

Streamlined model deployment

Continuous model updates

Enables quick adapter loading

Stacks fine-tuned adapters

Publicly shared models hub

Converts unstructured data

Supports JSON, XML, YAML

Supports other formats via regex/context-free grammar

Detects adversarial attacks

Prevents PII leakage

Filters toxic language

Learns from usage

Protects against prompt injections

Adapts to new threats over time

Compatible with existing codebase

100% predictable output

User-customized structuring of unstructured data

Provides data protection

Automates data structuring

Shares enhanced models publicly

Generates valid json objects

Supports customized grammars

View 21 more pros

Cons

Requires manual feedback

Adapts slow to initial feedback

Complex setup for TREX

No multi-language support

Limited information on Aegis mechanism

No clarity on update frequency

View 1 more cons

7 alternatives to Automorphic for Database Q&A

Defog

ChatGPT for data, embedded in your app.

4,316
27

Released 2y ago
No pricing
Share
HelloQuery

AI-powered report builder for customer data exploration

3,616
20
4.5

Released 10mo ago
Free + from $59/mo
Share
Edward

Enterprise-grade AI assistant for businesses

2,612
14

Released 3y ago
From $1000/mo
Share
AskExcel

Your AI Excel assistant for effortless data analysis

2,557
23
1.0

Released 2y ago
Free + from $5/mo
Share

Chevy Richardson

🙏 1 karma

Jun 30, 2024

Paid for monthly account to test it out. Site does not recognize the purchase.

1 Reply Share Edit Delete Report
WrenAI

Connect LLMs to your data for explainable insights.

1,461
3

Released 1y ago
Free + from $99/mo
Share
2 www.getwren.ai
Chat With Your Database

Chat to query, analyze, and run operations on your Postgres database.

1,430
29
5.0

Released 1y ago
No pricing
Share
Llamaindex

Connect custom data to large language models

1,301
6

Released 2y ago
Free + from $50/mo
Share

View 15 more alternatives

Q&A

What is Automorphic?

Automorphic is a platform that enhances language models with knowledge infusion tools, such as Conduit, and conversion tools like TREX. It also provides security measures with Aegis, a tool designed to protect against adversarial attacks. The Automorphic Hub allows users to access models trained and refined on the platform for their own usage. Furthermore, Automorphic's tools support seamless integration with the OpenAI API, ensuring flexibility and adaptability for users.

What is Conduit and how does it improve language models?

Conduit is a tool by Automorphic specifically designed to infuse knowledge into language models. It bypasses the inefficiencies and limitations of traditional prompt stuffing, allowing the fine-tuning of language models. Conduit also enables the training of adapters for specific behavior or knowledge, which can be dynamically combined. Crucially, it provides the ability to rapidly iterate on models through incorporating human-in-the-loop feedback, which helps streamline model deployment. Furthermore, Conduit augments user datasets to improve models continuously, ensuring they remain self-improving.

How does Conduit enable quick loading and stacking of fine-tuned adapters?

Conduit enables the quick loading and stacking of fine-tuned adapters by facilitating efficient data handling and processing. By eliminating concerns over performance and deployment, it allows users to focus on fine-tuning models and providing feedback. This results in reduced waiting times and increased operational efficiency.

Can Conduit be integrated easily into my already existing codebase?

Absolutely, Conduit can be integrated easily into already existing codebases. It is declared to be compatible with the OpenAI API, meaning users can use it with no changes to their current codes.

What is the purpose of the Automorphic Hub?

The Automorphic Hub serves as the platform where publicly shared models that have been trained and normalized on Automorphic are made available for inference. It acts as a repository for these models, facilitating easy access and utilization for users.

Can I access models from other users on the Automorphic Hub?

Yes, the Automorphic Hub allows users to access models that have been shared publicly. These models have been trained and improved using Automorphic and can be used for inference in their applications.

+ Show 14 more

What is TREX and what advantages does it offer over OpenAI's functions?

TREX is a tool by Automorphic that transforms unstructured data into a structured format as per the user's choice. With TREX, the output from language models becomes 100% predictable as it is converted into user-selected structured formats. Unlike OpenAI's default functions, TREX offers high customization options, giving users more control and flexibility over their data processing.

Can TREX convert unstructured data into JSON or XML?

Yes, TREX can indeed convert unstructured data into either JSON or XML, offering a comprehensive range of structured formats to choose from, which includes but is not limited to JSON and XML. These might even be formats defined by a regular expression or context-free grammar.

What is Aegis and how does it protect language models and users?

Aegis is essentially a firewall tool provided by Automorphic, designed to protect language models and users from adversarial attacks. Aegis effectively defends against prompt injections, prompt and personal identifiable information (PII) leakage, and also toxic language. This ensures the integrity of the models and ensures user data security.

Does Aegis have the capability to detect toxic language and PII leakage?

Yes, it is a core function of Aegis to detect toxic language and PII leakage. Aegis is designed to safeguard against these particular threats alongside additional measures for defending against prompt injections.

How does Aegis improve its detection capabilities over time?

Aegis improves its detection capabilities over time by learning from usage. This means the more it is used, the more effective it becomes at identifying and countering adversarial attacks, enhancing its protective measures over time.

What is meant by 'infusing knowledge into language models'?

Infusing knowledge into language models is the process of fine-tuning these models to include specific knowledge or behavior. This is achieved through training adapters which are then dynamically combined. It overcomes the inefficiencies and limitations of traditional prompt stuffing methods.

How does Conduit incorporate human-in-the-loop feedback?

Conduit incorporates human-in-the-loop feedback by using it to continuously adapt and refine the language models. This feedback, either manual or by labeling inference requests, helps with iterating the models rapidly, leading to more efficient model deployment.

How can Automorphic update models based on user feedback or manual labelling?

Automorphic updates models based on user feedback or manual labeling through its Conduit tool. When users provide either manual feedback or label their inference requests, Conduit leverages this information to update the models, resulting in continuous improvement of the models.

How compatible is Automorphic with OpenAI API?

Automorphic seamlessly integrates with the OpenAI API, enhancing its compatibility with existing codebases and allowing users to incorporate Automorphic's features without making changes to their existing code.

What formats can TREX convert the unstructured data into?

TREX, a tool provided by Automorphic, can convert unstructured data into any structured format as defined by the user. This includes popular data organization methods like JSON, XML, YAML, or any other format defined by a regular expression or context-free grammar.

Is Automorphic a secure platform?

Automorphic is a secured platform. It prioritizes model and user protection against adversarial attacks, prompt and PII leakage, and toxic language. Its built-in firewall tool, Aegis, learns continuously from usage, allowing it to improve its detection and defense mechanisms over time.

How does Aegis protect against adversarial attacks?

Aegis, Automorphic's built-in firewall, actively protects against adversarial attacks by detecting and defending against prompt injections, prompt and PII leakage, and toxic language. By learning from usage, Aegis continually upgrades its detection capabilities and effects stronger defenses against potential attacks.

Can Automorphic overcome limitations of prompt stuffing?

Absolutely, Automorphic, through its tool Conduit, effectively bypasses the inefficiencies and limitations of traditional prompt stuffing. It enables fine-tuning of language models and the training of adapters for specific behavior or knowledge, which are then dynamically combined. This approach allows Automorphic to seamlessly infuse knowledge into the language models.

How do language models and users benefit from Automorphic's continuous learning and updating features?

Automorphic's continuous tool offerings bring numerous benefits to both language models and users. The self-improving nature of Conduit enables constant model improvement, while Aegis provides robust defense against adversarial attacks. Users benefit from Automorphic's compatibility with the OpenAI API, the flexibility of TREX's data conversions, and the availability of a multitude of public models through the Automorphic Hub. All these attributes ensure a more efficient, flexible, and secure user experience.

Ask a question

Submit

If you liked Automorphic

Verified tools

AskYourDatabase

Chat with SQL databases

SQL

Open

5,331
43
3.8

Released 2y ago
Free + from $29/mo
Share

Sheldon

🛠️ 2 tools 🙏 3 karma

Dec 13, 2023

Great product, helps us to get insights from DB without involving developers.

3 Reply Share Edit Delete Report
FAQWidget

AI-powered FAQ Widget for boosting sales

FAQs

Open

983
14
5.0

Released 1y ago
Free + from $9/mo
Share