O'Reilly Media

NOVEMBER 19, 2024

Also, in place of expensive retraining or fine-tuning for an LLM, this approach allows for quick data updates at low cost. When a question gets asked, run its text through this same embedding model, determine which chunks are nearest neighbors , then present these chunks as a ranked list to the LLM to generate a response.

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ODSC - Open Data Science

MARCH 13, 2025

Unlike their massive counterparts, lightweight LLMs offer a practical alternative for applications requiring lower computational overhead without sacrificing accuracy. Together in this blog, were going to explore what makes an LLM lightweight, the top models in 2025, and how to choose the right one for yourneeds.

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Marktechpost

FEBRUARY 28, 2025

Specifically, models trained with this method showed improvements in factuality-based question-answering and instruction-following tasks , demonstrating its effectiveness in refining LLM alignment. The research addresses a crucial limitation in reward modeling by integrating correctness verification with human preference scoring.

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ODSC - Open Data Science

DECEMBER 2, 2024

In a recent episode of ODSC’s Ai X Podcast , which was recorded live during ODSC West 2024 , Gary Marcus, an influential AI researcher, shared a critical perspective on the limitations of large language models (LLMs), emphasizing the need for true reasoning capabilities in AI.

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