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Interactive Product Documentation: Creating an Engaging Conversational Q&A Bot with OpenAI and LangChain
Author(s): Sriram Parthasarathy Originally published on Towards AI. 5 use cases + prototype to chat with your own in-house product documentation Chat with your own in-house product documentation. Source: Author created this image All of us have undoubtedly used product documentation at …
6 Cutting-Edge AI Technologies Shaping the Future of Work
Author(s): Wagner Franchin Originally published on Towards AI. Unveiling the AI Revolution Photo by Maximalfocus on Unsplash This comprehensive overview highlights six cutting-edge technologies that are shaping the future of work. TL;DV simplifies meeting management with transcription, summarization, and enhanced features. Decktopus …
Unlock the Black Box: The Importance of Explainability in Machine Learning
Author(s): Janik and Patrick Tinz Originally published on Towards AI. An Overview of the Principles of Explainability Photo by Headway on Unsplash Machine learning (ML) has great potential for improving processes and products. A challenge is to explain the predictions of the …
Vector Quantization & VQ-GAN
Author(s): Jack Saunders Originally published on Towards AI. Towards Generating Ultra-High Resolution Talking-Face Videos with Lip-Synchronization Results of this paper on a section of silence. on a section Image Credits: Gupta et. al. Towards Generating Ultra-High Resolution Talking-Face Videos with Lip Synchronization …
MLOps: Build and Deploy First Machine Learning Application with Kubernetes
Author(s): Maria Zorkaltseva Originally published on Towards AI. This tutorial will walk through the process of building and deploying a machine learning application using Kubernetes — an open-source platform for automating deployment, scaling, and management of containerized applications. The tutorial covers a …
What is Explainability AI?
Author(s): Louis Bouchard Originally published on Towards AI. Interview with Yotam Azriel, CTO at TensorLeap — What’s AI Episode 13 Join us this week for a fascinating conversation on the What’s AI podcast, where Yotam Azriel, co-founder of TensorLeap, shares his fascinating …
Time Series Regression Using Transformer Models: A Plain English Introduction
Author(s): Ludovico Buizza Originally published on Towards AI. A plain English brief introduction to time series data regression/classification and transformers, as well as an implementation in PyTorch Photo by Jason Richard on Unsplash I am working on a project that uses transformer …
Prompt Injection Explained
Author(s): Louis Bouchard Originally published on Towards AI. Watch the video Originally published on louisbouchard.ai, read it 2 days before on my blog! By now, you all know what prompting is. It’s how we talk with ChatGPT and other AIs. But did …
This is Why You Should Read This Before using ChatGPT in Data Science
Author(s): Gencay I. Originally published on Towards AI. Unlocking the Power of ChatGPT for Effective Data Science: From Web Scraping to Machine Learning and Data Visualization Image by Author It’s no secret that Data Science is broad, with multiple areas to explore …
5 Use Cases to Leverage Large Language Models in Customer Service Interactions
Author(s): Sriram Parthasarathy Originally published on Towards AI. Customer service is the lifeblood of any successful business. Excellent customer service fosters customer loyalty, strengthens relationships, and boosts a brand’s reputation. Yet, with a huge volume of customer inquiries in the digital age, …
Connecting Yourself (Or Others) With Data Science Hiring Managers
Author(s): Adam Ross Nelson Originally published on Towards AI. Frequently folks ask me to connect them with a recruiter or a hiring manager. I’m happy to help with this! But there is a catch. You have to do some work first. You …
Policy Gradient Algorithm’s Mathematics Explained with PyTorch Implementation
Author(s): Ebrahim Pichka Originally published on Towards AI. Image generated by midjourney Table of Content · Introduction· Policy Gradient Method ∘ Derivation ∘ Optimization ∘ The Algorithm· PyTorch Implementation ∘ Networks ∘ Training Loop (Main algorithm) ∘ Training Results· Conclusion· References Introduction …
Unmasking the Bookworm in AI: A Deep Dive into the Literary Knowledge of Large Language Models
Author(s): Cezary Gesikowski Originally published on Towards AI. “You don’t have to burn books to destroy a culture. Just get people to stop reading them.” — Ray Bradbury, author of the sci-fi novel “Fahrenheit 451” image: Unsplash In a groundbreaking study that …
A quick introduction to Machine Learning. Part-1
Author(s): Abhijith S Babu Originally published on Towards AI. Machine learning is a term that is very popular at least for tech enthusiasts. Machine learning is a significant component of Artificial Intelligence, the buzzword of the current era. This article intends to …
Unleashing AI for Personal Enrichment: Harnessing ChatGPT-4’s Therapeutic Power
Author(s): Cezary Gesikowski Originally published on Towards AI. Revolutionizing Self-Reflection: An Innovative Approach to AI-Assisted Journaling image: Unsplash I’ve been leveraging the capabilities of ChatGPT-4 for my personal development over the last few months. I aimed to explore if it could help …
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