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Predicting Reading Level of Texts - A Kaggle NLP CompetitionIntroduction:
One of the main fields of AI is Natural Language Processing and its applications
in the real world. Here on Amalgam.ai [https://amalgam.ai/] we are building
different models to solve some of the problems around the NLP world, and by
consequence, trying to make the world a better place.
The Competition:
Can machine learning identify the appropriate reading level of a passage of
text, and help inspire learning? Reading is an essential skill for academic
success. When students have a
João Paulo MartinsOctober 15, 2021
Porto Seguro ChallengeIntroduction:
In the modern world the competition for marketing space is fierce, nowadays
every company that wants the slight advantage needs AI to select the best
customers and increase the ROI of marketing campaigns. And of course, our team
at Amalgam.ai is developing solutions to this field.
The Challenge:
In this competition we were challenged to build a model that predicts the
probability of a customer purchasing a product.
The score chosen to measure the quality of the prediction was the
João Paulo MartinsOctober 15, 2021
Chinese Lab Build the World Largest Model and Challenges Google… and the western as a whole.The Beijing Academy of Artificial Intelligence (BAAI), AKA OpenAI of China,
recently launched the latest version of Wudao, a pre-trained deep learning model
that is called “the world largest model ever”. The model has an incredible 1.75,
wait for it…. TRILLION parameters. But how big is it really? Well, the model is
10 times bigger than the OpenAI GPT-3 model which, until now, has the title of
the best model for language generation tasks.
Another feature of Wudao is that the model was built and
João Paulo MartinsJune 08, 2021
VGGNets are backIf you have studied the deep learning timeline history, you may know that the
big moment was in 2012 when Alex Krizhevsky presented a deep convolutional
architecture able to improve the state-of-the-art error on ImageNet dataset by
11%. After that, it was proved that deep learning era had come.
Two years later a better architecture was proposed by Karen Simonyan and Andrew
Zisserman from the University of Oxford. In this model, the main difference was
the number of layers, where they have s
Igor MunizJune 03, 2021
Calculating Material Stress Using Deep LearningIf you are an engineer or get some classes of its subjects in college, you know
resistances of material can give you a huge headache!
Determining the stress a material is under, for example, requires complex
equations created by mathematicians, engineers, and physicists. Such difficult
that most part of the time we need computers to solve it. However, it seems that
MIT researchers discovered a new method to simplify our lives, and guess what,
using AI of course!
By applying some computer visio
Igor MunizApril 27, 2021
Nvidia GTC 2021Nvidia's annual GTC starts today and you don't want to lose this opportunity.
Every year Nvidia comes to show their exciting advancements in GPU technology
and as artificial intelligence is directly linked to GPUs, you should expect a
lot of AI content there, becoming a paradise for data scientist, machine
learning engineers, and AI enthusiasts. You can also watch content about
automation, health care, and quantum computing, all for free. But if you have
extra money, I will recommend doing a wor
Igor MunizApril 12, 2021
Potatoes Cluster: Training a Deep Learning Model Using a 100 Potatoes
Have you ever heard about battery potatoes? Did you know that it is also
possible to process information using potatoes? In this post we are going to
show you how it’s possible to create a cluster of potatoes, that not only serves
as a power supply but also processes data in a very cheap way. With that, we
could achieve the performance of a Nvidia GTX 1060 using 100 potatoes connected
with nails and clips.
Building the Cluster
In order to build our cluster, we are going to need some other item
Igor MunizApril 01, 2021
Creating a Kubernetes environment on AWS with kOPSHave you ever wondered about deploying a cluster controlled by Kubernetes on AWS
(or any other Cloud Provider) without suffering? Well, this post is definitely
to you.
I won't compare tools or methods like Terraform [https://www.terraform.io/],
CloudFormation [https://aws.amazon.com/pt/cloudformation/] and many others. This
is just a simple post about deploying a cluster, managed by Kubernetes, using
the most basic commands and enabling Rolling Updates, with kOPS.
In order to accomplish this
Rhuan SilvaMarch 05, 2021
Adopting Quantum Computing in 2021Interesting take on adopting Quantum Computing in 2021, but I still think that
there is a lot to overcome before most companies can actually use Quantum
Computing for problems that really matter. Most people don't know, but Quantum
Computers are a thing already, the problem is that they're not as powerful right
now as we need it to be, and it is very hard to program them and get good
results out of it.
More on this topic here:
https://www.analyticsinsight.net/if-not-then-organizations-should
Adriano MarquesFebruary 09, 2021
The Art of Hiring Data ScientistsThe amount of companies hiring out Data Scientists thinking that they're going
to come in, wave a wand and solve all problems with AI is appalling. This is not
good for the industry, the companies, or the Data Scientists. Disrupting an
industry takes a lot more than hiring a couple of Data Scientists and handing
them a wishlist. Solving real problems with Artificial Intelligence requires
experience across several technical domains that start with the hardware and
ends with the production model,
Adriano MarquesFebruary 09, 2021
Quantum BrainJust read a very interesting article on an intelligent material that re-arranges
itself in response to a learning stimulus. This is very exciting, and I think,
the way to go when it comes to embedding Artificial Intelligence to all things
around us. It also shows how the concept of Artificial Intelligence is a lot
more encompassing than the usual definitions can accommodate.
Here is a cool article explaining how it works:
https://scitechdaily.com/the-first-steps-toward-a-quantum-brain-an-inte
Adriano MarquesFebruary 06, 2021
Distributed learning in an on-premise cluster - A Kaggle Reinforcement Learning case
Have you tried any distributed learning algorithms? If you are just starting out
in this area, I have my doubts, but if you have been on this path for a few
years, you might have faced one of those models. The incredible development of
the machine learning area in the last decade has not only brought a new state of
the art to several problems but has also taken processing optimization and
parallelization to another level. With increasingly larger models, any common
machine or even a single sup
Igor MunizJanuary 08, 2021