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Smol AINews explores LlaMA Pro as a potential alternative to PEFT/RAG techniques.

Smol AI has released Llama Pro, a new method for fine-tuning large language models. Llama Pro aims to provide an alternative to existing techniques like Parameter-Efficient Fine-Tuning (PEFT) and Retrieval-Augmented Generation (RAG). The goal is to offer a more efficient and effective way to adapt LLMs for specific tasks. AI

RANK_REASON Release of a new fine-tuning method for LLMs, presented as an alternative to existing techniques.

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  1. Smol AINews TIER_1 English(EN) ·

    1/6-7/2024: LlaMA Pro - an alternative to PEFT/RAG??

    New research papers introduce promising **Llama Extensions** including **TinyLlama**, a compact **1.1B** parameter model pretrained on about **1 trillion tokens** for 3 epochs, and **LLaMA Pro**, an **8.3B** parameter model expanding **LLaMA2-7B** with additional training on **80…