AI Case study
Project : Spellforge AI
Industry: LLM, AI
Sub industry: AI Software Testing
About the project
SpellForge.ai introduces an innovative solution for quality assurance in AI-driven applications, specifically targeting Large Language Models (LLMs) like GPT-4. This framework facilitates AI-to-AI testing by simulating user interactions using synthetic personas and automatically evaluating the responses of LLMs. It integrates seamlessly into existing release pipelines, enhancing the development process with efficient, cost-effective quality assurance. The project emphasizes the importance of realistic simulation for accurate response evaluation, aiming to ensure that AI applications meet user expectations before release. The open-source nature of Spelltest encourages collaboration and continuous improvement within the community, aligning with the project's philosophy of accessible, high-quality AI application development.
Technologies
AI Platforms: OpenAI, Langchain, Spelltest
Prototyping Tool: Streamlit
Development Stack: Python, Django, PostgreSQL, Celery
Deployment Solutions: Docker, Azure, Bare-metal Servers
Monitoring Tools: Sentry, Prometheus, Grafana, Flower
