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Hybrid Search is Enriching the Context of Search Queries
In an attempt to master the search experience, hybrid search integrates various algorithms, allowing a fusion of keyword-based search strategies and vector search methods. Weaviate Hybrid Search — 🦜🔗 LangChain Such cutting-edge tech is being implemented by Weaviate, a company that employs sparse and dense vectors to enrich the context of search queries and documents. Hybrid search brings together the advantages of multiple search paradigms. It harnesses the power of distinct algorithms such as BM25 and SPLADE, used to compute sparse vectors, and machine learning models like GloVe and Transformers, utilized for dense embeddings. A particular example of the hybrid search approach is seen in Weaviate, predominantly relying on: BM25/BM25F…
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Rockeando el Mundo de la IA con Modelos de Lenguaje Avanzados
En nuestro mundo siempre en evolución de la tecnología, es esencial apreciar el notable progreso del Procesamiento de Lenguaje Natural (NLP). Regresando un poco en el tiempo, cada tarea de NLP necesitaba un modelo distinto, un proceso tedioso y que consumía mucho tiempo. Esto cambió con la introducción de los Transformers y el concepto de aprendizaje de transferencia en NLP. LLMs Generalistas Grandes corporaciones como Google encabezaron esta transformación al invertir pesadamente en la formación de modelos transformadores. Estos modelos funcionan como “generalistas“, con una sólida comprensión del lenguaje, lo que les permite realizar diversas tareas. Hoy en día, este avance ha evolucionado hacia el uso de modelos de lenguaje…
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Rocking the AI World with Advanced Language Models
In our ever-evolving world of technology, it’s essential to appreciate the remarkable progress of Natural Language Processing (NLP). Rewinding back a little, each NLP task necessitated a distinct model, a tedious and time-consuming process. This changed with the introduction of Transformers and the concept of transfer learning in NLP. Generalist LLMs Large corporations like Google spearheaded this transformation by investing heavily in training transform models. These models serve as “generalists” with a robust understanding of language, allowing them to perform diverse tasks. Today, this advancement has morphed into the use of large language models (LLMs) capable of tasks like classification or question answering. It’s astounding to realize that the technology…
