Inside LinkedIn’s Embedding Architecture Powering its Job Search Capabilities
Author(s): Jesus Rodriguez Originally published on Towards AI. Created Using Ideogram I recently started an AI-focused educational newsletter, that already has over 160,000 subscribers. TheSequence is a no-BS (meaning no hype, no news, etc) ML-oriented newsletter that takes 5 minutes to read. …
A Gentle Introduction To Large Language Models
Author(s): Abhishek Chaudhary Originally published on Towards AI. Image generated using DALL-E Hi, glad you found your way to this Gentle Introduction to Large Language Models or LLMs. Now, since you are here, it’s safe to assume that you have been pulling …
Fair Classification with Adversarial Debiasing
Author(s): Lorenzo Pastore Originally published on Towards AI. Photo by Sushil Nash on Unsplash In this article my colleague Raffaele Anselmo and I analyze a binary classification problem on income prediction in terms of classification and fairness metrics and we propose a …
In-depth Understanding to Optimize the Performance of Artificial Neural Network
Author(s): Amit Chauhan Originally published on Towards AI. Hyper-parameters tuning for deep learning techniquesAn image by the Author Introduction Neural networks are structures that depend on the different input parameters to make decisions or predictions. Generally, it tries to mimic the operational …
Top AI Adventure: OpenAI Residency
Author(s): Cezary Gesikowski Originally published on Towards AI. Calling Rising AI Stars — Dive. Discover. Disrupt. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely …
How Can We Foresee Our Relationship With AI?
Author(s): Reza Yazdanfar Originally published on Towards AI. Human-AI interaction at the current stage or post-AGI is always a matter of debate. Whether you are on the next negative side or position side, I would like to disentangle the aftermath of AI …
Fully Explained AdaBoost Ensemble Technique with Python Example
Author(s): Amit Chauhan Originally published on Towards AI. Boosting ensemble algorithm in machine learningPhoto by Alex Chumak on Unsplash Introduction Ensemble techniques: We can say it is a collection or group of weak model machine learning models that become a strong machine …
Democratizing AI with Open-Source Large Language Models
Author(s): Josep Ferrer Originally published on Towards AI. Image created by Leonardo.AI The digital age has brought with it an unprecedented amount of tools and technologies that have revolutionized the way we work, live, and play. At the heart of this transformation, …
This AI newsletter is all you need #67
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie With recent developments, it has become increasingly clear that Large Language Modes (LLMs) are now becoming far more than chatbots. We were interested to …
Chat with Your BigQuery Data
Author(s): Benedict Neo Originally published on Towards AI. made with excalidraw Large language models (LLMs) have shown extraordinary ability in understanding natural language and generating code. One popular use-case for code generation is in Text-To-SQL tasks, where the goal is to automatically …
The (Truly) Hardest of Pandas: pivot and melt Clearly Explained
Author(s): Bex T. Originally published on Towards AI. Master these head-scratchers like never before Top highlight Image by me with Midjourney The title says it all — this is about the two hardest Pandas functions: pivot and melt. If Pandas functions were …
If You Only Have 3 Minutes — This ChatGPT Dense Summary Prompt is For You
Author(s): Qendel AI Originally published on Towards AI. I only have 3 minutes — how do I read my 5 pages now? Your time is precious, and a strong summary honors that! A strong summary is brief — a weak summary is …
Canada’s AI Ambitions: Navigating the Future of AI Governance
Author(s): Cezary Gesikowski Originally published on Towards AI. A Look at Canada’s Voluntary Code and the Road Aheadimage: Maple Leaf circuit by the author via Midjourney In the bustling city of Montreal, the landscape of Canadian tech policy recently shifted. Industry Minister …
A Practical Introduction to PySpark
Author(s): Mihir Gandhi Originally published on Towards AI. This article explains what PySpark is, some common PySpark functions, and data analysis of the New York City Taxi & Limousine Commission Dataset using PySpark. PySpark is an interface for Apache Spark in Python. …
Navigating the Mind of GPT: How to Elicit Clarity and Avoid AI Hallucinations
Author(s): MindfulModeler Originally published on Towards AI. Photo by Ehimetalor Akhere Unuabona on Unsplash Introduction When working with cutting-edge language models like GPT, we occasionally find ourselves stumbling upon “hallucinations.” A hallucination, in the context of a language model, is when the …
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