But fine-tuning large models on low-end hardware is a real challenge PEFT solves this by fine-tuning a small number of model parameters while freezing most parameters of the pre-trained LLMs. This reduces the computational and storage costs 2/5 https://
github.com/huggingface/pe
ft
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RESEARCH
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PEFT: Fine-tuning Large Models on Low-End Hardware
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Fine-tuning: Faster Model Adaptation for Specific Tasks
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In simple words fine-tuning is taking a pre-trained machine learning model and adjusting it for a specific task Fine-tuning is much faster than training a model from scratch and also reduces the amount of data, compute required for training and lot of other benefits 1/5
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Lab2Market 2023: Apply Now for AI Project Commercialization
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Interested to participate and reap the benefits of Lab2Market 2023? Send in your applications here: https://
bit.ly/3wMBTKT Share with your connections and ask them to participate in their exciting AI projects! #INDIAai #Lab2Market #AcademicProjects #AIProjects #AI -
Intelligent Automation Newsletter #110 Latest Trends
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Intelligent Automation Newsletter #110 https://
linkedin.com/pulse/intellig
ent-automation-newsletter-110-pascal-bornet
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Move Test Time Compute to Training Time When Possible
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it's good except as a rule of thumb you always want to move test time compute into train time compute, to whatever extent possible.
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CMU and Adobe’s Pix2Pix-Zero Enables Image Translation
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CMU & Adobe’s Pix2Pix-Zero Enables Training- and Prompt-Free Image-to-Image Translation https://
syncedreview.com/2023/02/14/cmu
-adobes-pix2pix-zero-enables-training-and-prompt-free-image-to-image-translation/
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GPT-Based Synthetic Tabular Data Generation Library
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Cool new #GPT-based approach to synthetic tabular data generation. It shows great results compared to the excellent SDV library. Library: https://
github.com/avsolatorio/re
altabformer
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Google advances robot communication and real-world task performance
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In the past year we researched how to help robots be more helpful by improving their communication, enabling them to understand real-world situations, and expanding their low-level skills to better perform tasks in unstructured environments. Read how at https://
goo.gle/40OzzkB -
LangChain Knowledge Graph Index Structure Exploration
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An AWESOME blogpost by @FanLi_RnD covering the graph index structure we added yesterday https://
apex974.com/articles/explo
re-langchain-support-for-knowledge-graph
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Jason Wei Joins OpenAI ChatGPT Team from Google Brain
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Personal update: after two years at @Google Brain, I joined the #ChatGPT team at @OpenAI
! Excited to continue working on large language models and can't wait to see the impact of AI on society