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text embeddings

3 articles · Page 1 of 1

Aug 19, 2026 · Artificial Intelligence

Can LLMs Uncover Real Economic Links to Boost Cross‑Stock Prediction?

The paper proposes a two‑stage Retrieve‑then‑Reason framework that first builds a sparse candidate graph from 10‑K text embeddings and then uses a large language model to filter edges for true economic relationships, resulting in a higher‑Sharpe, lower‑drawdown cross‑stock trading signal on S&P 500 constituents.

LLMcross‑stock predictionfinancial networks

0 likes · 17 min read

Can LLMs Uncover Real Economic Links to Boost Cross‑Stock Prediction?

AI Algorithm Path

Jun 15, 2025 · Artificial Intelligence

Fine‑Tuning Text Embeddings for Domain‑Specific Search: A Complete Walkthrough

This article explains why generic text‑embedding models often fail in specialized retrieval tasks, then demonstrates how to fine‑tune such models using contrastive learning, curated job‑listing data, and the Sentence‑Transformers library, achieving near‑perfect accuracy on a job‑matching benchmark.

Contrastive LearningFine-tuningSentence-Transformers

0 likes · 11 min read

Fine‑Tuning Text Embeddings for Domain‑Specific Search: A Complete Walkthrough

21CTO

Sep 17, 2024 · Artificial Intelligence

How to Build AI-Powered Semantic Search with OpenAI Embeddings and Milvus

This guide explains vector embeddings, OpenAI's text‑embedding models, and how to use PyMilvus with Zilliz Cloud to create a Retrieval‑Augmented Generation (RAG) system for fast, accurate semantic search.

MilvusOpenAIPython

0 likes · 12 min read