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 Center’s 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, we’ll 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 Alcántara 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. Google’s T5-XXL boasts an impressive 11 billion parameters, while OpenAI’s 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, …
How to Run Stable Diffusion 3X Faster at Lower Cost
Author(s): Towards AI Editorial Team Originally published on Towards AI. Available for Early Access on OctoML Compute Service on AWS This is a Sponsored Guest Post brought to you by OctoML. For a team of AI fanatics like us, it’s been …
When AI Speaks: Mastering the Art of Crafting Engaging AI Conversations
Author(s): Cezary Gesikowski Originally published on Towards AI. image by the author via Stable Diffusion 1.5 + Photoshop Beta Like many ambitious writers out there (as I imagine), I am sweating digital rivers while writing ‘the next awesome AI novel’ with a …
DINOv2
Author(s): Michał Oleszak Originally published on Towards AI. AI Pulse #1: DINOv2, All The LLMs & Open-Source AI A new foundational model for computer vision, making sense of the spree of open-source LLMs, and should AI be open-source? AI Pulse is also …
Overcoming Catastrophic Forgetting: A Simple Guide to Elastic Weight Consolidation
Author(s): Yunzhe Wang Originally published on Towards AI. image by Midjourney The Problem of Catastrophic Forgetting In the field of artificial intelligence, deep learning models, especially neural networks, have shown great success in a wide range of applications. However, one major challenge …
Inside Low-Code LLM: Microsoft Research’s Novel Prompt Engineering Method Based on Human-LLM Interactions
Author(s): Jesus Rodriguez Originally published on Towards AI. Created Using Midjourney I recently started an AI-focused educational newsletter, that already has over 150,000 subscribers. TheSequence is a no-BS (meaning no hype, no news etc) ML-oriented newsletter that takes 5 minutes to read. …
Building Activation Functions for Deep Networks
Author(s): Moshe Sipper, Ph.D. Originally published on Towards AI. AI-generated image (craiyon) A basic component of a deep neural network is the activation function (AF) — a non-linear function that shapes the final output of a node (“neuron”) in the network. Common …
Building Activation Functions for Deep Networks
Author(s): Moshe Sipper, Ph.D. Originally published on Towards AI. AI-generated image (craiyon) A basic component of a deep neural network is the activation function (AF) — a non-linear function that shapes the final output of a node (“neuron”) in the network. Common …
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