Deep Learning from Scratch in Modern C++
Author(s): Luiz doleron Originally published on Towards AI. Letβs have fun by implementing Deep Learning models in C++. It is needless to say how relevant machine learning frameworks are for research and industry. Due to their extensibility and flexibility, it is rare …
AIβs Mind-Reading Revolution: How GPT LLMs Decode Thoughts and What It Means for Our Future
Author(s): Cezary Gesikowski Originally published on Towards AI. The incredible potential and privacy concerns of a groundbreaking study using AI to unlock human thoughts image by author via PlaygroundAI In recent years, the development of Generative Pre-trained Transformer (GPT) Large Language Models …
Most Data Annotation Bpos Are Missing the Point Amid the GPT LLMS Wave
Author(s): Puneet Jindal Originally published on Towards AI. The humans-in-the-loop annotation will be reduced to a minimal review effort guided by AI! There is a lot of hype around What AI can do. Amidst the hype, there is a real incremental outcome …
10 Exciting AI Models You Should Know
Author(s): Arun Rajendran Originally published on Towards AI. T5 trivia This member-only story is on us. Upgrade to access all of Medium. Photo by Markus Winkler on Unsplash Recently, ChatGPT has raised the interest in NLP and AI so much that everyone …
Inside Lamini: A New Framework for Fine-Tuning LLMs
Author(s): Jesus Rodriguez Originally published on Towards AI. The framework streamlines the process of using techniques such as RLHF in your LLM models. Top highlight Image Credit: Lamini I recently started an AI-focused educational newsletter, that already has over 150,000 subscribers. TheSequence …
The Multilayer Perceptron: Built and Implemented from Scratch
Author(s): David Cullen Originally published on Towards AI. This article aims to provide an overview of the multilayer perceptron, covering key areas mathematically, visually, and programmatically. An approach has been adopted to enable the reader to capture the intuition behind a …
Introduction
Author(s): Hitesh Hinduja Originally published on Towards AI. Testing in Machine Learning: A Comprehensive Guide with Examples from TensorFlow, PyTorch, Keras, scikit-learn, Hugging Face, and More-Part-1 of 3 Here we are with a new blog today. In this three-part series, we will …
Introduction
Author(s): Hitesh Hinduja Originally published on Towards AI. Testing in Machine Learning: A Comprehensive Guide with Examples from TensorFlow, PyTorch, Keras, scikit-learn, Hugging Face, and More-Part-1 of 3 Here we are with a new blog today. In this three-part series, we will …
Taming AI Hype: A Human Perspective
Author(s): Vincent Carchidi Originally published on Towards AI. Source: Image by Kyle Sung on Unsplash. The Stata Centerβs design is bizarre and counter-intuitive, like the argument here. Taming AI Hype: A Human Perspective Artificial Intelligence should widen, not narrow, our understanding …
Create Your First Chatbot Using GPT 3.5, OpenAI, Python and Panel.
Author(s): Pere Martra Originally published on Towards AI. In this article, weβll see how the OpenAI API works and how we can use one of its famous models to make our own Chatbot. To make this brief introduction to the world …
MLCoPilot: Empowering Large Language Models with Human Intelligence for ML Problem Solving
Author(s): Sriram Parthasarathy Originally published on Towards AI. Solving Machine Learning Tasks with MLCoPilot: Harnessing Human Expertise for Success Many of us have made use of large language models (LLMs) like ChatGPT to generate not only text and images but also …
The AI Race for Industrial Cybersecurity
Author(s): Jorge AlcΓ‘ntara Barroso Originally published on Towards AI. State of the art, insights, and advice for the future AI in industrial cybersecurity is not a question. It will protect our critical infrastructures in an increasingly connected world. By learning from real-world …
Chat With Your Data To Build ML-Driven Customer Segments Using a Chatbot Built With ChatGPT and LangChain
Author(s): Sriram Parthasarathy Originally published on Towards AI. Use plain English to build ML models to identify profitable customer segments. In this post, we explore the concept of querying data using natural language, eliminating the need for SQL queries or coding skills. …
Beyond Accuracy: How to Enable Responsible AI Development using Amazon SageMaker
Author(s): John Leung Originally published on Towards AI. Artificial Intelligence (AI) models are becoming more and more complex. Googleβs T5-XXL boasts an impressive 11 billion parameters, while OpenAIβs GPT-3 ups the ante with a whopping 175 billion parameters. In the pursuit of …
This AI newsletter is all you need #45
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week witnessed several releases and developments in AI models, continuing the trend of open-source model alternatives. Among these, two popular consumer-facing LLM-based products, …