Trek deeper into the latest digital platforms and practices alongside
WillowTree experts.
Retrieval augmented generation (RAG) is a rich, rapidly evolving field that’s creating new opportunities for enhancing generative AI systems powered by large language models (LLMs). In this guide, the Data & AI Research Team (DART) at WillowTree shares 15 advanced RAG techniques for optimizing your own system, all of which we lean on when developing client applications.
In the following dialogue, we demystify ten questions we often hear from clients interested in applying generative AI to their business, alongside our most current answers and approaches based on our real-world experience.
Large language models, or LLMs, help businesses deliver better customer service, build better products, and run tighter operations. However, LLMs are not created equal, and creating LLM benchmarks to find the right model for the right application is costly. But what if technology leaders could confidently benchmark LLMs using only a fraction of their current data?
Adobe is the Ferrari of experience platforms. That’s why we created this guide: to help you take the next step with the most powerful, efficient, and reliable marketing tech stack on the planet. And the next step. And the next.
Every day, avenues for reaching target audiences fragment and multiply. In this splintered landscape, customers expect deep and intuitive personalization. How can a business learn from the preferences of individual users across so many platforms and devices, driving personalized experiences? That’s where a customer data platform (CDP) comes in.
Here at WillowTree, we’ve helped dozens of Fortune 500 companies migrate and implement Braze. This short, actionable guide represents our Braze experts’ takeaways and best practices that will accelerate your time to value and put your business lightyears ahead of the competition.
