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Top Large Language Models (LLMs)
Research

Top Large Language Models (LLMs)

The top large language models in the Summer of 2024, along with recommendations for when to use each based upon needs like API, tunable, or fully hosted.

Suleman KaziAmin AhmadVivek SourabhRogger LuoParth VashishtAbhilasha Lodha
Suleman Kazi,Amin Ahmad,Vivek Sourabh,Rogger Luo,Parth Vashisht,Abhilasha Lodha
Unlocking the State-of-the-Art Reranker: Introducing the Vectara Multilingual Reranker_v1
Application Development

Unlocking the State-of-the-Art Reranker: Introducing the Vectara Multilingual Reranker_v1

In the ever-evolving landscape of RAG and information retrieval, a balance of precision, recall, and latency will make or break the applications. We are excited to introduce our latest innovation, the Multilingual Reranker_v1. This state-of-the-art reranker, significantly enhances the precision of retrieved results across both English and multilingual datasets.

Nick MaVivek Sourabh
Nick Ma,Vivek Sourabh
Deep Dive Into Vectara Multilingual Reranker v1, State-of-the-Art Reranker Across 100+ Languages
Application Development

Deep Dive Into Vectara Multilingual Reranker v1, State-of-the-Art Reranker Across 100+ Languages

This blog post focuses on the technical details of our latest iteration of Multilingual Reranker v1 which enables state-of-the-art retrieval performance across 100+ languages. Our latest model provides qualitative performance on par with industry leaders like Cohere and surpassing the best open source models. Our latest model also provides users with blazing-fast inference at minimal cost, with the additional capability of rejecting irrelevant text based on score-based cut-offs.

Vivek SourabhNick Ma
Vivek Sourabh,Nick Ma
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