Automorphic
Automorphic is a tool called Conduit that enables the infusion of knowledge into language models. It overcomes the limitations of prompt stuffing by allowing fi...
Last verified:
What is Automorphic?
Automorphic is a YC-backed LLM improvement platform that enables developers to rapidly build and improve custom fine-tuned language models using just 10 samples. The platform infuses knowledge into language models via fine-tuning, surpassing context window limitations that plague vector database Q&A systems like LlamaIndex and LangChain. Users can upload raw text data, start fine-tuning runs, and continuously improve their models through RLHF and adapter training.
Key features include efficient fine-tuning with minimal data, customizable adapters for specific behaviors or knowledge, self-improving models through continuous iteration, real-time model testing and improvement, and the Automorphic Hub for sharing and accessing publicly available models. The platform offers Aegis, a firewall for LLMs that detects prompt injections, prompt and PII leakage, and toxic language. Users own their model weights and can train/run inference in their own cloud environments.
Automorphic is designed for ML engineers, developers, and data teams who want to get knowledge into their models, struggle with production-level quality from standard vector DB Q&A systems, and don't have time to wrangle fine-tuning infrastructure. It's ideal for companies looking to replace OpenAI with custom LLMs, implement custom AI solutions for specific use cases, and rapidly iterate on model improvements without waiting 12-18 months for research-to-production pipelines.
Automorphic pricing
Pricing model: Free
Automorphic uses a freemium subscription model starting at $49/mo. New users can sign up for a free account to get an API key for Aegis firewall and train their first three models for free. Contact Automorphic for enterprise pricing and volume discounts. The platform offers usage-based pricing where users pay for actual usage rather than flat subscriptions.
Automorphic pros
- Infuses knowledge into LLMs with just 10 samples
- Surpasses context window limitations via fine-tuning
- Turns raw data into production-ready LLM in minutes
- One-line switch from OpenAI API endpoint to theirs
- Users own model weights for cloud deployment
- Continuous self-improving models through RLHF
- Train and combine adapters for behavior or knowledge
- Real-time model testing and improvement visibility
- Minimal code changes needed for fine-tuning
- Automorphic Hub for sharing and accessing models
- Aegis firewall detects prompt injections and PII leakage
- Cost-effective compared to building fine-tuning infrastructure
- No need to learn hyperparameter optimization dark arts
- Works with existing OpenAI API code
- Rapid experimentation with different fine-tuning techniques
Automorphic cons
- No free tier available (subscription only)
- Pricing starts at $49/mo which may be high for small teams
- Limited advanced features compared to custom solutions
- Primarily focused on fine-tuning, not pre-training
- Requires API key signup even for free trial access
- 3-person team may limit enterprise support capacity
- Limited documentation compared to larger platforms
- Newer platform (founded 2023) with less track record
Frequently asked questions about Automorphic
What is Automorphic and what does it do?
Automorphic is an LLM improvement platform that enables developers to rapidly build and improve custom fine-tuned language models. It infuses knowledge into LLMs via fine-tuning using just 10 samples, surpassing context window limitations. Users upload raw text data, start fine-tuning runs, and continuously improve models through RLHF and adapter training.
How many samples do I need to fine-tune a model?
Automorphic enables infusing knowledge into language models with just 10 samples. This minimal data requirement allows developers to rapidly iterate on and successively improve custom models cheaply and efficiently.
What is Aegis and how does it work?
Aegis is a self-hardening firewall for large language models that protects from adversarial attacks. It detects prompt injections, prompt and PII leakage, toxic language, and more. At its heart is a classification model trained on prompt injection and leakage attacks, using heuristics from traditional firewalls. The model is self-hardening, learning from every attack it sees.
Do I own the model weights after fine-tuning?
Yes, you own the model weights. This means you can train and run inference in your own cloud environment if you'd like, giving you full control over your custom models.
How do I switch from OpenAI to Automorphic?
Switching is as simple as a one-line change from the OpenAI API endpoint to Automorphic's endpoint. You can inference the model using the same code you already have with the OpenAI API, requiring minimal changes to existing code.
What is the Automorphic Hub?
The Automorphic Hub is a platform where users can publish their custom models for others to try out, and access publicly shared models for inference. It provides a collaborative environment for developers to share and utilize models.
Can I combine multiple adapters?
Yes, you can use additional data to train adapters and combine and commute them however you want. This allows you to train adapters for specific behaviors or knowledge and tailor model development to your specifications.
What is RLHF and how does Automorphic support it?
RLHF (Reinforcement Learning from Human Feedback) is a technique for aligning models to human preferences. Automorphic allows you to try inference on your model and improve it using RLHF, enabling continuous improvement through real-life human feedback and periodic re-tunings to control for data drift.
Who is Automorphic best for?
Automorphic is ideal for developers who want to get knowledge into their models, struggle with production-level quality from standard vector DB Q&A (LlamaIndex/LangChain), don't have time to wrangle fine-tuning infrastructure, and want to make minimal code changes. It's perfect for ML engineers and companies looking to implement custom LLMs or replace OpenAI.
What is the pricing for Automorphic?
Automorphic pricing starts at $49/mo with a subscription model. New users can sign up for a free account to get an API key and train their first three models for free. Contact Automorphic for enterprise pricing and volume discounts.