ChainForge
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About
ChainForge is an open-source visual programming environment for prompt engineering, designed to evaluate the robustness of prompts and text generation models beyond anecdotal evidence. It simplifies the process of prompting multiple LLMs, comparing responses, and testing hypotheses. The web version offers a slightly limited feature set compared to the local installation, which supports loading API keys from environment variables, writing Python code for LLM response evaluation, and querying local models. ChainForge provides a suite of tools to evaluate and visualize prompt and model quality with minimal effort, addressing the need for data-verified robustness. It allows users to precisely identify the best prompts and most performant models for their use cases. Developed by Ian Arawjo at Harvard, it's in active open beta, welcoming contributors.
Platform
Features
• send parametrized prompts and export to excel
• open-source visual programming environment
• local installation with extended features
• measure impact of system messages
• verify llm output consistency
• test for prompt injection attacks
• compare responses across multiple llms
• evaluate prompt and model robustness
FAQs
What can I do with ChainForge?
ChainForge helps evaluate prompt/model quality, test robustness (e.g., prompt injection), ensure output consistency, send parameterized prompts, export data, and compare model responses.
Pricing Plans
Open-Source
Free Plan• Visual prompt engineering
• Evaluate prompt robustness
• Compare multiple LLM responses
• Test prompt injection attacks
• Export results to Excel
• Local installation option
Job Opportunities
There are currently no job postings for this AI tool.
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