# Efficient Fine

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Learning Vector Embeddings - Mastering AI Image Generation - BloombergGPT is AI for finance - AI Tool of the Week: Wiseone - Top Research Papers from the past 7 days

Welcome to AI Breakfast! On April 18th, our book Decoding AI: A Non-Technical Explanation of Artificial Intelligence  In today's episode: Learning Vector Embeddings Mastering AI Image Generation BloombergGPT is AI for finance AI Tool of the Week: Wiseone Top Articles From The Weeks:  BloombergGPT…

Here is what investors should know about the Tampa Bay real estate market

A Florida Native and graduate of University of South Florida, Jeff Wills is an accomplished Tampa Bay Area agent who brings a strategic yet personable approach to the home buying and home selling process. Drawing from years of experience as an agent in the Tampa market, he has built a solid reputat…

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

We present LLaMA-Adapter, a lightweight adaption method to efficiently fine-tune LLaMA into an instruction-following model. Using 52K self-instruct demonstrations, LLaMA-Adapter only introduces 1.2M learnable parameters upon the frozen LLaMA 7B model, and costs less than one hour for fine-tuning on…

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

The paper discusses the use of machine learning algorithms to predict the risk of cardiovascular disease in patients with diabetes. https://arxiv.org/abs//2309.12307 YouTube: https://www.youtube.com/@ArxivPapers PODCASTS: Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/…

September 22th, 2023 - Revolutionary Speeds & Precision: The Future of Neural Networks and Language Models

Parallelizing non-linear sequential models over the sequence length Fast Feedforward Networks LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models Boolformer: Symbolic Regression of …

[short] LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

The paper discusses the use of machine learning algorithms to predict the risk of cardiovascular disease in patients with diabetes. https://arxiv.org/abs//2309.12307 YouTube: https://www.youtube.com/@ArxivPapers PODCASTS: Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/…

arxiv preprint - LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

In this episode, we discuss LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models by Yukang Chen, Shengju Qian, Haotian Tang, Xin Lai, Zhijian Liu, Song Han, Jiaya Jia. The abstract describes "LongLoRA," a technique designed to efficiently expand the context size of large language m…

ICLR 2024 — Best Papers & Talks (ImageGen, Vision, Transformers, State Space Models) ft. Durk Kingma, Christian Szegedy, Ilya Sutskever

Speakers for AI Engineer World’s Fair have been announced! See our Microsoft episode for more info and buy now with code LATENTSPACE — we’ve been studying the best ML research conferences so we can make the best AI industry conf! Note that this year there are 4 main tracks per day and dozens of wo…