Fine-tuning guides for WordPress & WooCommerce

New chain tools to integrate WordPress with all AI platforms

We were contacted today for a WordPress site where logged in customers can Q&A with RAG about images, files and text, to get long term recommendations. No single solution can do this with the flexibility and costs required in the mid-sized business market. This is exactly why at wpsolr.com we created our new WordPress Chain tools to ensure that no customer requirement is rejected because “the solution we created was not meant to do this”. Our Chain tools offers the flexibility to adapt to any future customer demand, such as: 1️⃣ Pay for Cloud Run LangChain code on GPU to index millions of images only when you need it 2️⃣ Define specialized workflows: one to index json documents, one to load files with Docking or unstructured.io,

Fine-tuning a reranker with synthetic LLM generated data and LLM+human annotations

Great post from HumanSignal labelstud.io to fine-tune a Cohere reranker with synthetic LLM generated data and LLM+human annotations: Generate synthetic queries from documents with a LLM (OpenAI gpt4-o here) Extract results from your retrieval system for all synthetic queries Create a label project for reranking tasks with triplet-loss (positive, hard-negative) Upload query/results in the label studio Pre-label query/results with a LLM reranker’s back-end (OpenAI gpt4-o here) Let humans complete the pre-labeling Send labeled query/results to a LLM reranking fine-tuner (Cohere here) Test your new fine-tuned reranked retrieva Original post: https://labelstud.io/blog/improving-rag-document-search-quality-with-cohere-re-ranking/