HyperWrite recently launched ‘gpt-llm-trainer’, an open-source agent that can easily train a high-performing task-specific model just by writing a sentence describing what model a user wants.
Users can simply input a description of a specific task, then the trainer’s system will generate a dataset from scratch. Consequently, it will automatically integrate its contents into the right format and fine-tune a LLaMA2 model for its users.
(LLaMA 2 is a general Large Language Model (LLM) that is designed to enable developers to build generative AI-powered tools).
It also targets to avoid training complexities and produce advanced outcomes as it generates a fine-tuned dataset and trains a model for its users, using a chain of AI systems.
In a tweet from Matt Shumer, HyperWriteAI CEO, he officially introduced their new constrained agent that “chains together lots of GPT-4 calls that work together” to create a good dataset for users.
According to Matt Shumer, the AI trainer processes the dataset and trains a specific model accordingly. More so, it can quickly go from an idea into a fully-trained model easily.
He also gave users a brief summary of how it works and what it may potential do for them. Now, users can train multiple model variants and choose the one that has the lowest evaluation loss.
In a recent release, the gpt-llm-trainer has its helpful features, namely;
- Dataset Generation - using GPT-4, the trainer will generate various prompts and responses based on the provided use-case.
- System Message Generation - the trainer will generate an effective system prompt for the selected model.
- Fine-tuning - after a dataset has been generated, the trainer will automatically split it into validation and training sets as it fine-tunes a model for users.
In a release, it was stated that the goal of this project is to pipeline training models and abstract away from the complexities – making it easier to make an idea into a well-performing fully-trained model.
Training AI models is hard and it requires a lot of work to make it perform at its best, but using this agent from HyperWrite, it is definitely a game-changer as it has the ability to easily generate a fine-tuned dataset and train a model – using a simple text prompt.