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Meet Falcon LLM: The New Foundation Model that Quickly Top the Open LLM Leaderboard
Author(s): Jesus Rodriguez Originally published on Towards AI. The model has become one of the most interesting open-source foundation models in the space. Created Using Midjourney I recently started an AI-focused educational newsletter, that already has over 160,000 subscribers. TheSequence is a …
Making Models Smart: GPT-4 and Scikit-Learn
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. An Introduction to the seamless integration of ChatGPT-4 with Scitkit-Learn Image by Author with @MidJourney ChatGPT has allowed for convenient and efficient approaches to constructing text classification models. Scikit-learn is the conventional library …
Transformer Tune-up: Fine-tune XLNet and ELECTRA for Deep Learning Sentiment Analysis (Part 3)
Author(s): Courtlin Holt-Nguyen Originally published on Towards AI. Winner: XLNet with ELECTRA a very close runner-up Image created by the author + Stable Diffusion · Introduction· Fine-tuning XLNet NLP model for sentiment analysis with PyTorch· Fine-tune an NLP ELECTRA model with PyTorch· …
AI in The Wild West: The Call for Virtuous Systems Over Regulation
Author(s): Cezary Gesikowski Originally published on Towards AI. “We’re seeing a kind of a Wild West situation with AI and regulation right now. The scale at which businesses are adopting AI technologies isn’t matched by clear guidelines to regulate algorithms and help …
31 Questions that Shape Fortune 500 ML Strategy
Author(s): Anirudh Mehta Originally published on Towards AI. Source: Image by the author. In May 2021, Khalid Salama, Jarek Kazmierczak, and Donna Schut from Google published a white paper titled “Practitioners Guide to MLOps”. The white paper goes into great depth on …
The Art Of Data Cleaning Using Pandas
Author(s): Ann Mary Shaju Originally published on Towards AI. Mastering essential techniques for optimal data quality Photo by Scott Graham on Unsplash Data is collected from multiple sources and there can be incorrect, outdated, duplicate or inconsistent data. If our data is …
The Art Of Data Cleaning Using Pandas
Author(s): Ann Mary Shaju Originally published on Towards AI. Mastering essential techniques for optimal data quality Photo by Scott Graham on Unsplash Data is collected from multiple sources and there can be incorrect, outdated, duplicate or inconsistent data. If our data is …
Using Python to Automate Word Report
Author(s): Yeung WONG Originally published on Towards AI. Step-by-step tutorial on streamlining the update of Microsoft Word report using Python There are lot of reporting work in my daily routine job, Python has many useful packages to help me automate the work, …
Meet Gorilla: A Fully OpenSource LLM Tuned For API Calls
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. UC Berkley and Microsoft Research together came up with Gorilla, which specializes in API calls. This model is a 7b parameter model means consumer GPUs are in business. Let’s take …
Explainable and Interpretable Models are Important in Machine Learning
Author(s): Suhas Maddali Originally published on Towards AI. Learn to use libraries such as LIME, SHAP and others to determine the workings of black-box machine learning models with examples and illustrations, ensuring that they are safe, fair and have less bias Photo …
Trend Modeling in Time Series Forecasting with Facebook Prophet
Author(s): David Andres Originally published on Towards AI. How does Prophet deal with changes in trend? Photo by Cristian Escobar on Unsplash Classical time series forecasting techniques rely on statistical models that require a significant amount of effort to fine-tune and tailor …
Poetry: Python Dependency Management Like a Pro
Author(s): Janik and Patrick Tinz Originally published on Towards AI. A guide with a practical example Photo by Danial Igdery on Unsplash Do you often have problems with dependencies in your Python projects? Then, Poetry offers a solution for you. Poetry is …
A Structured Guide For Plotting With Matplotlib
Author(s): Ali Originally published on Towards AI. Learn to create data visualization from raw numbers in this article Photo by Monstera: https://www.pexels.com/photo/loupe-and-smartphone-with-compass-on-maps-7412068/ Data visualization is crucial in the domain of machine learning and data science. It allows you to uncover data patterns …
Transformer Tune-up: Fine-tune BERT for State-of-the-art sentiment Analysis Using Hugging Face
Author(s): Courtlin Holt-Nguyen Originally published on Towards AI. BERT Transformer Source: Image created by the author + Stable Diffusion (All Rights Reserved) In the context of machine learning and NLP, a transformer is a deep learning model introduced in a paper titled …
Using Large Language Models to Build a Biomedical Chatbot
Author(s): Rahul V. Veettil Originally published on Towards AI. Building Intelligent Biomedical Chatbots using GPT, Bio-GPT, and Falcon Author’s Image Large language models (LLMs) [1, 2] have revolutionized everything from natural language processing to virtual assistants. These models are adept at both …
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