How to Connect Text and Images
Becoming Human
MARCH 16, 2023
In this series, we will learn how to connect images and texts using a zero-shot classifier with hands-on examples. Here is part 2-Understanding zero-shot learning with clip model.
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The Rise of ChatGPT: A New Era of Artificial Intelligence
Becoming Human
MAY 11, 2023
ChatGPT was trained using a process called unsupervised learning, which means that it was not given specific instructions on how to interpret the data. Instead, the model was left to find its own patterns and relationships within the data, using a process known as self-supervised learning.
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AI Drug Discovery: How It’s Changing the Game
Becoming Human
MARCH 16, 2023
Unlike supervised and semi-supervised learning algorithms that can identify patterns only in structured data, DL models are capable of processing vast volumes of unstructured data and make more advanced predictions with little supervision from humans. Originally published at [link] on January 27, 2023.
Interactive Fleet Learning
BAIR
APRIL 6, 2023
The use of human teleoperation as a fallback mechanism is increasingly popular in modern robotics companies: Waymo calls it “fleet response,” Zoox calls it “TeleGuidance,” and Amazon calls it “continual learning.”
Demystifying Logistic Regression: A Simple Guide
Becoming Human
AUGUST 15, 2023
Logistic regression is a type of supervised learning algorithm. My research focuses on developing robust deep learning models for solving computer vision problems. In this blog, we will break down the concept of logistic regression and explain it as simply as possible. What is Logistic Regression?
Here are the Applications of NLP in Finance. You Need to Know
Becoming Human
MAY 9, 2024
Use Cases of NLP Data Labeling in Finance Labeled data is used to train machine learning models, creating a better scope for supervised learning. Using this data, financial analysts and organizations can make informed decisions. As we get better data usability with NLP labeling, the number of applications increases.
CInA: A New Technique for Causal Reasoning in AI Without Needing Labeled Data
Becoming Human
MAY 28, 2024
This work lays the foundation for developing foundation models with human-like intelligence through incorporating self-supervised causal learning and reasoning abilities.
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