WillowTree can accelerate your efforts at every step of your generative AI journey. Our teams of experts in data science, AI engineering, strategy, and experience design collaborate to responsibly and securely deploy generative AI solutions.
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With the proliferation of large language models — from proprietary tools like Open AI’s ChatGPT to open-source offerings like Meta’s LLaMA — selecting the right model for your use case is essential. Our Data & AI Research Team (DART) applies advanced methodologies to rapidly evaluate LLMs for speed and latency, accuracy and truthfulness, relative cost, scalability, compute, and more.
Our AI Engineering teams will test your models and review operating data to identify opportunities to improve model performance and effectiveness. Your team can then use those packages to update your generative AI models, or WillowTree can further implement necessary changes.
WillowTree’s Data Engineering teams modernize pipelines, architect data lakes, and bring MLOps best practices. Our parent company TELUS International’s capabilities in data collection, data annotation, and data validation ensure the necessary data is available and of high quality.
Given the constant evolution of generative AI tools, there is no “set it and forget it.” Monitoring for degradation and model drift is critical. WillowTree AI Engineering Services will track performance and governance compliance, identify errors or regression, and minimize AI hallucinations — all while optimizing and fine-tuning for model improvement.
Generative AI excels at content creation, distillation, organization, and suggestion. We have recently partnering with clients to enhance existing products and experiences with AI-enabled features, and build new, differentiated products that delight users and propel businesses forward. We have recently deployed generative AI solutions that: