Large Language Models and GPT-4: Architecture and OpenAI API
Author(s): Simranjeet Singh Originally published on Towards AI. Introduction Large language models have revolutionized the field of natural language processing in recent years. These models are trained on massive amounts of text data and can generate human-like language, answer questions, summarize text, …
Bill Gates Predictions for AI’s — What to expect next
Author(s): Aditya Anil Originally published on Towards AI. Continuation of the previous post “Bill Gates Predictions for AI’s — Education and Risks” on Towards AI [+ Series Finale] Image: Bing Image Creator ✉Hello there This is the 3rd issue as a continuation …
History of AI: Maturation of Artificial Intelligence (1943-1952)
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Artificial Intelligence has rapidly become one of the most important fields of science, with applications ranging from image recognition and natural language processing to self-driving cars and robotics. However, its evolution …
Uncovering the Art of Combat: A Data Scientists Exploration of Mixed Martial Arts
Author(s): John Adeojo Originally published on Towards AI. Image by Author: Generated with Midjourney prompt “The Stance Standoff, 2023 — A captivating and intense photograph capturing the critical moment before two mixed martial artists, reminiscent of Israel Adesanya and Alex Pereira, engage …
CompressedBART: Fine-Tuning for Summarization through Latent Space Compression (Paper Review/Described)
Author(s): Ala Alam Falaki Originally published on Towards AI. Paper title: A Robust Approach to Fine-tune Pre-trained Transformer-based Models for Text Summarization through Latent Space Compression. “Can we compress a pre-trained encoder while keeping its language generation abilities?”This is the main question …
Segment Anything Model Explained
Author(s): Louis Bouchard Originally published on Towards AI. SAM, promptable segmentation and the largest segmentation dataset to date! Originally published on louisbouchard.ai, read it 2 days before on my blog! Segmentation examples from the SAM model. Segmentation is the ability to take …
Bill Gates Predictions for AI’s — Education and Risks
Author(s): Aditya Anil Originally published on Towards AI. Continuation of previous post “Bill Gates Predictions for AI’s — Productivity and Health” on Towards AI Image: Bing Image Creator U+2709Hello There This is the 2nd issue of my previous post titled — “Bill …
Case Study Interview Questions on Statistics for Data Science
Author(s): Simranjeet Singh Originally published on Towards AI. Introduction Welcome to the world of data science, where statistics are the foundation upon which we build insights and solutions. Whether you’re just starting out or you’re a seasoned data professional, it’s essential to …
ChatGPT Guide for Data Scientists: Top 40 Most Important Prompts
Author(s): Gencay I. Originally published on Towards AI. Image by Author ChatGPT has been making waves in the AI world, and for a good reason. This powerful language model developed by OpenAI has the potential to significantly enhance the work of data …
Breaking Down YOLO’s (version 4) State-Of-The-Art Performance
Author(s): Adrienne Kline Originally published on Towards AI. Coined after the viral phrase, ‘you only live once’ (YOLO), the machine learning (ML) world first coined this acronym and repurposed it to You Only Look Once — YOLO. YOLOv1 was devised as a …
7 Case Studies of Data Science and ML on Top Companies
Author(s): Simranjeet Singh Originally published on Towards AI. Introduction Data science and machine learning are revolutionizing the way businesses operate. Big MNCs like Starbucks, Amazon, Spotify, Google, Netflix, NASA, and GE Healthcare are using data science and machine learning to gain insights, …
Introduction
Author(s): Towards AI Editorial Team Originally published on Towards AI. Introduction to Reinforcement Learning Series. Tutorial 1; Motivation, States, Actions, and Rewards Table of Content: 1. What is Reinforcement Learning? 2. Why is this Useful? 3. Markov Decision Process 4. State, Actions …
Introduction
Author(s): Towards AI Editorial Team Originally published on Towards AI. Introduction to Reinforcement Learning Series. Tutorial 1; Motivation, States, Actions, and Rewards Table of Content: 1. What is Reinforcement Learning? 2. Why is this Useful? 3. Markov Decision Process 4. State, Actions …
Bill Gates Predictions for AI’s — Productivity and Health
Author(s): Aditya Anil Originally published on Towards AI. Bill Gates published a 7-page letter about AI and his predictions for its future in his blog- GatesNote “Age of AI has begun”: Bing Image Creator Not too long ago, Bill Gates wrote a …
Maximizing Your Productivity: 5 Innovative Ways to Utilize ChatGPT in Your Work
Author(s): Serop Baghdadlian Originally published on Towards AI. Photo by Choong Deng Xiang on Unsplash “ChatGPT is an advanced natural language processing (NLP) model developed by OpenAI, one of the leading artificial intelligence research organizations in the world. It has been trained …
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