You don't need a Frontier Model to do RAG with MongoDB Atlas
This project aims to build and leverage task-specific Small Language Models (SLMs) in Fireworks.ai platform. MongoDB will be leveraged for generating task-specific datasets and as a Retrieval Augmented Generation (RAG) component to provide contextual knowledge. By integrating MongoDB with Fireworks.ai, the SLM can be fine-tuned on diverse use cases and datasets and incorporate relevant information during inference, leading to improved performance in various applications like customer support, content generation, data analysis, and language translation.
Key Topics Covered
- Task-specific SLMs with Fireworks.ai
- Dataset generation using MongoDB
- Retrieval Augmented Generation (RAG)
- Fine-tuning SLMs for diverse use cases
- Real-world application scenarios