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Terminal-based environments for interacting with models to verify responses and hyperparameters.
Distinct from Model Testing: Distinct from general model testing: focuses specifically on the shell-based interactive interface for manual verification.
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OpenChatKit is a training and inference toolkit for large language models. It provides a comprehensive set of tools for managing the model lifecycle, including a fine-tuning pipeline, a model weight converter, and a command-line interface for interacting with conversational agents. The toolkit features a framework for retrieval augmented generation, allowing models to incorporate relevant context from external vector indices. It also includes utilities for converting trained model checkpoints into formats compatible with standard inference libraries. The project covers conversational AI trai
Ships a command-line interface for executing natural language queries and inspecting model hyperparameters in real time.