Large Language models are expensive to fine-tune and it's really difficult to train them on local hardware. Introducing PEFT ("Parameter-Efficient Fine-Tuning") from Hugging Face that lets you fine-tune Billion Parameter Models on Low-Resource Hardware. A Thread
MACHINE LEARNING
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How Tesla’s AI Perceives the World Through FSD Beta
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This is how a Tesla sees our world
— Pascal Bornet (@pascal_bornet) 15 février 2023
Source: FSD Beta 10.9 drive by @WholeMarsBlog#ArtificialIntelligence #selfdriving #innovation #MachineLearning pic.twitter.com/KquiWpvULxThis is how a Tesla sees our world Source: FSD Beta 10.9 drive by @wholemars #ArtificialIntelligence #selfdriving #innovation #MachineLearning
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LearnOpenCV Celebrates Success of AI Art Generation Course
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We are elated with the tremendous response to our course on "Mastering AI Art Generation"
Thank you so much for the encouragement! https://
bit.ly/3RTCCnt #Kickstarter #AI #AIArtwork #computervision #MachineLearning #ArtificialIntelligence -
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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Digitalization Opportunities in Pharma and Life Sciences
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Discover the untapped potential of digitalization in pharma and life sciences. From drug discovery to clinical trials, the opportunities are endless. Read more at: https://
bit.ly/3YLiTZg @Deloitte @mitsmr @JNJMedTech @AstraZeneca @GSK @pfizer @Roche @thermofisher -
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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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
… Including some great suggestions for future directions -
ALAN: Robots Learn by Exploring Environment with AI
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Very cool:
— AI Breakfast (@AiBreakfast) 14 février 2023
Robots using AI to learn by exploring their environment
A team of researchers at Carnegie Mellon University have developed a new type of robotics model called ALAN that can operate autonomously in the real world with minimal human https://t.co/5kBhQc5nnV… pic.twitter.com/uyCVG1MSPpVery cool: Robots using AI to learn by exploring their environment A team of researchers at Carnegie Mellon University have developed a new type of robotics model called ALAN that can operate autonomously in the real world with minimal human https://
robo-explorer.github.io