In machine learning, knowledge distillation is the process of transferring knowledge from a large model to a smaller one. While large models (such as very deep neural networks or ensembles of many models) have higher knowledge capacity than small models, this capacity might not be fully utilized. It can be computationally just as expensive to evaluate a model even if it utilizes little of its knowledge capacity. Knowledge distillation transfers knowledge from a large model to a smaller model without loss of validity. As smaller models are less expensive to evaluate, they can be deployed on less powerful hardware (such as a mobile device). Knowledge distillation has been successfully used in several applications of machine learning such as object detection, acoustic models, and natural language processing.Recently, it has also been introduced to graph neural networks applicable to non-grid data. (Wikipedia).
We present a laboratory reflux distillation apparatus and demonstrate the separation of alcohol from water. We then step out of the lab and prepare banana brandy (Ugandan Waragi) in our other video https://youtu.be/LDtcRnIhzi8
From playlist Distillation
GCSE Science Revision Chemistry "Fractional Distillation"
Find my revision workbook here: https://www.freesciencelessons.co.uk/workbooks In this video, we look at fractional distillation. First, I explain the types of substances that can be separated by fractional distillation. I then show you the apparatus for fractional distillation. Finally,
From playlist 9-1 GCSE Chemistry Paper 1 Atomic Structure and the Periodic Table
We just learned two separation techniques, so let's learn one more! Distillation separates compounds by virtue of their differing boiling points. If two liquids are miscible, we can't perform extraction, but if they have very different boiling points, we can heat the mixture to a temperatu
From playlist Chemistry Laboratory Techniques
Fractionally Distilling Xylenes Using Science! #Shorts
#FractionalDistillation #Chemistry #Shorts Can you name the piece of glassware used for this distillation?
From playlist Rad Chemistry Experiments
Separating Liquids by Distillation
We've got extraction and chromatography down, so let's learn one more separation technique. This one is pretty simple, it separates mixtures of liquids by differences in boiling point, and it's called distillation. If two liquids have very different boiling points, we should be able to hea
From playlist Organic Chemistry
GCSE Science Revision Chemistry "Simple Distillation"
Find my revision workbook here: https://www.freesciencelessons.co.uk/workbooks In this video, we look at simple distillation. First, I discuss which substances we would separate by simple distillation. I then explain the principles behind simple distillation in terms of evaporation and co
From playlist 9-1 GCSE Chemistry Paper 1 Atomic Structure and the Periodic Table
Whisky... The Finished Product! - Part 2/2
In part one we covered fermentation. Today I'll explain how to distill the raw whisky and how to quickly age it to produce a remarkably delicious drink. Caution: Distilling ethanol is illegal in certain countries and territories. Please check your local laws before attempting anything lik
From playlist Distillation
Make your own slime ingredient dispensing machine
Everyone loves slime! How about your very own DIY SLIME INGREDIENT DISPENSING MACHINE. That's right! It pumps out all the ingredients to make an amazing slime.
From playlist Science Projects to make at Home
Knowledge Distillation - Keras Code Examples
This Keras Code Examples show you how to implement Knowledge Distillation! Knowledge Distillation has lead to new advances in compression, training state of the art models, and stabilizing Transformers for Computer Vision. All you need to do to build on this is swap out the Teacher and Stu
From playlist Keras Code Examples
Accelerate BERT Inference with Knowledge Distillation & AWS Inferentia
repository: https://github.com/philschmid/huggingface-sagemaker-workshop-series/tree/main/workshop_4_distillation_and_acceleration Hugging Face SageMaker Workshop: Accelerate BERT Inference with Knowledge Distillation & AWS Inferentia In the workshop, you will learn how to apply knowledg
From playlist Amazon SageMaker
Chemistry - Solutions (32.5 of 53) Colligative Properties- Vapor Pressure & Fractional Distillation
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain fractional distillation of separating the components of a solution.
From playlist CHEMISTRY 19 SOLUTIONS
Notion Link: https://ebony-scissor-725.notion.site/Henry-AI-Labs-Weekly-Update-July-15th-2021-a68f599395e3428c878dc74c5f0e1124 Chapters 0:00 Introduction 2:18 Improvements in Video Modeling 6:08 Vokenization 7:31 HowTo100M Data 9:07 Teacher Learning 13:06 Interesting Distillation Ideas 17
From playlist AI Weekly Update - July 15th, 2021!
Presented by Sam Sucik, Machine Learning Resarcher at Rasa's Level 3 AI Assistant Conference. The popular BERT model can deal well with natural language understanding tasks, but it is too slow for many practical applications like real-time human-bot conversations. One solution is knowledge
From playlist Level 3 AI Assistant Conference 2020
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models (Explained)
#gpt3 #knowledge #symbolic Symbolic knowledge models are usually trained on human-generated corpora that are cumbersome and expensive to create. Such corpora consist of structured triples of symbolic knowledge. This paper takes a different approach and attempts to generate such a corpus b
From playlist Papers Explained
Dense Retrieval ❤ Knowledge Distillation
In this lecture we learn about the (potential) future of search: dense retrieval. We study the setup, specific models, and how to train DR models. Then we look at how knowledge distillation greatly improves the training of DR models and topic aware sampling to get state-of-the-art results.
From playlist Advanced Information Retrieval 2021 - TU Wien
AI Weekly Update - June 30th, 2021 (#37!)
Content Links How to train your ViT? https://arxiv.org/abs/2106.10270 VIMPAC https://arxiv.org/abs/2106.11250 EsViT https://arxiv.org/pdf/2106.09785.pdf TokenLearner https://arxiv.org/pdf/2106.11297.pdf FitVid https://arxiv.org/pdf/2106.13195.pdf Co-Advise https://arxiv.org/pdf/2106.12378
From playlist AI Research Weekly Updates
AI Weekly Update - June 16th, 2021 (#35!)
Content Links Below: Generative Models as a Data Source for Multi-View Representation Learning: https://arxiv.org/pdf/2106.05258.pdf Learning to See by Looking at Noise: https://arxiv.org/pdf/2106.05963.pdf Knowledge Distillation: A Good Teacher is Patient and Consistent: https://arxiv.org
From playlist AI Research Weekly Updates
AI Weekly Update - November 25th, 2019 (#13)
https://arxiv.org/pdf/1911.09070.pdf http://josh-tobin.com/assets/pdf/randomization_and_the_reality_gap.pdf https://arxiv.org/pdf/1911.08265.pdf https://openai.com/blog/safety-gym/ https://ai.googleblog.com/2019/11/recsim-configurable-simulation-platform.html https://clvrai.github.io/furni
From playlist AI Research Weekly Updates
We look at the electrical conductivity of several solutions. Substances include tap water, distilled water, sodium chloride, hydrochloric acid, sodium hydroxide, sugar, vinegar, ethanol, and barium sulfate. The solutions are mixed to approximately the same ratios. The tester is a pair of s
From playlist Electricity and Magnetism
Big Self-Supervised Models are Strong Semi-Supervised Learners (Paper Explained)
This paper proposes SimCLRv2 and shows that semi-supervised learning benefits a lot from self-supervised pre-training. And stunningly, that effect gets larger the fewer labels are available and the more parameters the model has. OUTLINE: 0:00 - Intro & Overview 1:40 - Semi-Supervised Lear
From playlist Papers Explained