:dart: Task-oriented finetuning for better embeddings on neural search
With Executor Hub, one can easily use LLMs or pretrained models on Hugging Face to embed Documents. However, in practice the performance is often suboptimal without proper domain adoption or knowledge transferring. Fine-tuning is an effective solution to improve the performance on neural search and embedding-related tasks. Jina AI also provides Finetuner tools makes fine-tuning easier, faster and performant by streamlining the workflow and handling all complexity and infrastructure on the cloud.
🧬 The data structure for multimodal data · Neural Search · Vector Search · Document Store
Document is the fundamental data structure. (This project is also an opensource project by the Linux Foundation)
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