Automorphic

Checkout Automorphic – Suite of Solutions for Language Models, Fast Loading, and Aegis Firewall

Automorphic offers a comprehensive suite of solutions for enhancing language models with pre-trained models that can be easily integrated into any application or system. The suite includes features such as self-improving models, fast loading/stacking of fine-tuned adapters, and compatibility with the OpenAI API, as well as a firewall to protect against prompt injections, PII leakage, and toxic language. Additionally, it provides Aegis, a tool for detecting and preventing malicious prompts that can compromise model security.

• Product Category: AI Detection
• Product Pricing Model: Freemium

• Data Scientist
• Machine Learning Engineer
• DevOps Engineer
• Security Analyst
• Natural Language Processing (NLP) Specialist

For Data Scientist

• Sentiment analysis of customer feedback data to understand customer satisfaction levels and identify areas for improvement in products or services.
• Chatbot development with natural language processing capabilities.
• Text classification for spam filtering and email sorting.
• Machine translation for multilingual communication.
• Automated content generation for social media posts and website copywriting.
• 9.dical diagnosis and treatment planning.
• Image classification fordical imaging analysis.

For Machine Learning Engineer

• Sentiment Analysis: As a Machine Learning Engineer, one should use Automorphic’s suite of solutions to perform sentiment analysis on large datasets of text data to understand customer feedback and improve product/service offerings based on their opinions and emotions towards it.
• Text Classification: one should use Automorphic’s language models to classify text into different categories such as spam, phishing, and fraud detection for better securityasures.
• Machine Translation: one should leverage Automorphic’s suite of solutions to translate text from one language to another for multilingual communication.
• Chatbots: one should use Automorphic’s tools to build chatbots that can understand natural language and provide personalized responses to users.
• Named Entity Recognition: one should use Automorphic’s suite of solutions to extract important information from unstructured data for better data analysis and decision making.

For DevOps Engineer

• Automatic model deployment: As a DevOps Engineer, one should use the Automorphic Hub to deploy fine-tuned models on the cloud platform of choice with just 10 samples.
• Model monitoring and security: one should use Aegis to ensure that models are secure from prompt injections and PII leakage while they are deployed.
• Language model training: one should use the Self Improving models to improve the accuracy of language models over time.
• Prompt injection detection: one should use Aegis to detect and prevent prompt injections in real-time.
• Toxic language filtering: one should use Aegis to filter out toxic language from user inputs.

For Security Analyst

• Conducting a security audit of a company’s internal communication channels: As a Security Analyst, one should use Automatic to analyze the language used in emails, chat logs, and other forms of internal communication to detect any potential security threats or vulnerabilities in real-time. This would involve training the model on a set of predefined keywords related to sensitive information such as passwords, credit card numbers, and other confidential data. The tool’s ability to detect prompt injection and PII leakage would help identify any malicious content that may be present in these channels, ensuring that employees are not sharing confidential information with unauthorized parties.
• Protecting sensitive data during data migration: one should use Automatic to ensure that data is securely migrated from one system to another by monitoring the language used during the process and detecting any potential threats or vulnerabilities in real-time, preventing any data breaches.
• Monitoring social media accounts for security risks: one should use Automatic to monitor social media accounts for any suspicious activity or threats that may be related to a company’s brand or reputation, such as phishing scams or cyber attacks, and alert the appropriate personnel if necessary.
• Identifying potential insider threats: one should use Automatic to analyze employee behavior patterns and detect any unusual language or behavior that could indicate an insider threat, such as stealing sensitive information or sabotage.
• Conducting a security assessment of third-party applications: one should use Automatic to test the security of third-party applications by analyzing their language models for potential vulnerabilities and detect any threats or weaknesses that could be exploited by attackers.
• Protecting intellectual property: one should use Automatic to monitor for any unauthorized access or theft of sensitive information, such as trade secrets or confidential business plans.