Join Luke Merrick from Snowflake, a key player in Arctic Embed development, and Charles Pierse, head of Weaviate Labs, as they dive into the intricacies of multilingual text embeddings. They explore the evolution of Arctic Embed 2.0, emphasizing its open-source nature. The conversation covers technical strategies in model training, the economics of pre-training large models, and the challenges of integrating negative examples. They discuss the delicate balance between model simplicity and nuance in retrieval, promoting collaboration to enhance search quality.
