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ChatGP…Me? Building a Telegram bot “clone” with OpenAI’s GPT
Author(s): Bingwen Tan Originally published on Towards AI. Learn how to use Python, NodeJS, and Google Firebase, together with the OpenAI GPT API, to build a Telegram bot that learns the way you speak (but with a very loose grasp of the …
How to Use the Huggingface 🤗 Evaluate Library in Action (With Batching)
Author(s): Ala Alam Falaki Originally published on Towards AI. The Evaluate library is compelling; however, it was confusing the first time I wanted to try it. It threw an OOM error by applying it to my test set… Photo by Darling Arias …
Machine Learning Models Explainability — Definitions, Importance, Techniques, And Tools
Author(s): Kumar kaushal Originally published on Towards AI. Techniques (LIME, SHAP, PDP, ICE, DeepLIFT, others), libraries, and other details of Model Explainability Photo by Jason Coudriet on Unsplash We may have come across comments regarding a model being a “black box” and …
Will ChatGPT replace Data Scientist???
Author(s): Himanshu Joshi Originally published on Towards AI. Nowadays, there has been a growing concern that Chat GPT could lead to widespread job displacement, with it replacing human workers in many industries. While it is true that Chat GPT has the potential …
The 3 Ways To Merge Pull Requests In Git
Author(s): ___ Originally published on Towards AI. Create Merge Commit VS Code offers are 3 ways (when using GitHub as the version control system) to merge a Pull Request (PR), namely: Create Merge CommitSquash and MergeRebase and Merge This article will explore …
Forecast the Future in a Timeseries Data With Deep Java Library (DJL)
Author(s): Kexin Feng Originally published on Towards AI. A demonstration of the M5forecasting dataset Authors: Junyuan Zhang, Kexin Feng Time-series data are everywhere in the real world, e.g., the price change of assets in a market, the sales of commodities, the number …
Learnings From My Data Science Career So Far
Author(s): Harshit Sharma Originally published on Towards AI. Data Science is huge, and so are the chances of getting lost. Each one of us — the Data Scientists and MLEs — has to be good in Maths, Coding, System Design, MLOPs, and …
Hugging Face’s LoRA is a Simple Framework for Fine-Tuning Text-to-Image Models
Author(s): Jesus Rodriguez Originally published on Towards AI. The framework is integrated into the Diffusers library and maintains compatibility with Dreambooth. Image Credit: Hugging Face I recently started an AI-focused educational newsletter, that already has over 150,000 subscribers. TheSequence is a no-BS …
Microsoft Open Sources LMOps: A New Research Initiative to Enable Applications Development with Foundation Models, Part II
Author(s): Jesus Rodriguez Originally published on Towards AI. A collection of research papers and open-source toolkits to streamline core building blocks of application development with foundation models. Image Credit: https://www.protocol.com/enterprise/foundation-models-ai-standards-stanford I recently started an AI-focused educational newsletter, that already has over 150,000 …
How Can Lean Methodology Add Value to Your Machine Learning Deployments?
Author(s): Antonis Stellas Originally published on Towards AI. Photo by Stephen Phillips – Hostreviews.co.uk on Unsplash Machine learning (ML) is revolutionizing the way companies operate, but deploying ML models can be challenging. In this article, we will explore how lean methodology can …
The Non-Convexity Debate in Machine Learning
Author(s): Towards AI Editorial Team Originally published on Towards AI. Unpacking Mean Squared Error’s Impact on Logistic Regression Photo by DeepMind on Unsplash Author(s): Pratik Shukla “If you can’t, you must. If you must, you can.” — Tony Robbins Table of Contents: …
Bringing Photos to Life: Creating Customized Animated Videos using Generative AI
Author(s): Ana Bildea Originally published on Towards AI. A step-by-step tutorial on how to create a personalized video with AI https://www.youtube.com/embed/r-y-KBE7VAY These days are wild in terms of Artificial Intelligence (AI). Generative AI tools are sprouting up like mushrooms all over the …
Meta Releases LLaMA: Will It Fail Too?
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Page by Page Review: LLaMA: Open and Efficient Foundation Language Model Meta is releasing LLaMA to compete with PaLM and Chinchilla. Will it suffer the same fate as Blenderbot and Galactica? …
“AutoML, NAS and Hyperparameter Tuning: Navigating the Landscape of Machine Learning Automation”
Author(s): Arjun Ghosh Originally published on Towards AI. “AutoML is one of the hottest topics in the field of artificial intelligence, with the potential to democratize machine learning and make it more accessible to non-experts.” — Andrew Ng, Co-founder of Google Brain …
Modeling Manufacturing Data Using Markov Chains
Author(s): Ning Jia Originally published on Towards AI. Markov process, despite its simplicity, continues to find practical uses with real-world manufacturing datasets. Markov chain is a simple mathematical model with wide machine-learning applications. It tries to model a system that transitions from …
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