Becoming Human

FEBRUARY 1, 2023

For credits, of image goes to openai.com Language models are a type of artificial intelligence (AI) that is trained to generate human-like text. This allows them to generate coherent and natural-sounding text that is similar to how a human would write. see you in the next article!

Large Language Models 90

Large Language Models OpenAI Machine Learning ChatGPT 90

Heartbeat

JUNE 22, 2023

Yet not all chatbots are made equal, and some are more adept than others in deciphering and answering natural language questions. Natural language processing (NLP) can help with this. Consumers may communicate with the chatbot by asking inquiries like “Can I alter my flight?”

NLP 59

NLP Chatbots Natural Language Processing Machine Learning 59

Becoming Human

MARCH 16, 2023

Referred to as black boxes, such AI models might produce the most accurate predictions possible, but even engineers can’t explain the reasoning behind them. To address this challenge, there is a growing need for the development of explainable, trustworthy AI. Originally published at [link] on January 27, 2023.

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Neural Network Deep Learning Artificial Intelligence Artificial Intelligence 139

Becoming Human

APRIL 19, 2024

Towards Improving the Safety of LLMs The field of Natural Language Processing has undergone a revolutionary transformation with the advent of Large Language Models (LLMs). e) Input: Explain the concept of a bubble sort algorithm to a non-technical audience. Output: Two examples of liquids are water and oil. (e)

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LLM Large Language Models Algorithm Natural Language Processing 111

Becoming Human

MAY 12, 2023

In order to develop training data for AI and machine learning, there are several types of image annotation as explained below: Bounding Box Annotation As a type of image annotation technique, bounding box annotation is used to outline the boundaries of objects. In this process, a box is drawn around the object and a label is applied.

Machine Learning 81

Machine Learning Computer Vision Automation Artificial Intelligence 81

Applied Data Science

JANUARY 4, 2022

Initially introduced for Natural Language Processing (NLP) applications like translation, this type of network was used in both Google’s BERT and OpenAI’s GPT-2 and GPT-3. The story of her dismissal from Google sparked long and convoluted discussions on social media and major technology magazines. But at what cost?

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 52

Probably Approximately a Scientific Blog

AUGUST 28, 2016

Not every data we need to collect can be collected via crowdsourcing; some data may require expert annotation, e.g. if we need to annotate the syntactic trees of sentences in natural language, that's probably a bad idea to ask non-experts to do so. Are you sure you explained the task well? Wired magazine 14.6

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NLP Explainability Natural Language Processing 52