Is this the best open LLM yet? Better than Llama 2? — Falcon 180B is a Large Language Model (LLM) that was released on September 6th, 2023 by the Technology Innovation Institute. This model is a descendant of the Falcon 40B model. Here’s a quick overview of the model: 180B parameter model in two versions (base and chat) trained on 3.5…

Interested in Llama 2 but wondering how to deploy one privately behind an API? I’ve got you covered! — In this tutorial, you’ll learn the steps to deploy your very own Llama 2 instance and set it up for private use using the RunPod cloud platform. You’ll learn how to create an instance, deploy the Llama 2 model, and interact with it using a simple REST API or…

Can you achieve ChatGPT-like performance with a local LLM on a single GPU? — Mostly, yes! In this tutorial, we’ll use Falcon 7B with LangChain to build a chatbot that retains conversation memory. We can achieve decent performance by utilizing a single T4 GPU and loading the model in 8-bit (~6 tokens/second). We’ll also explore techniques to improve the output quality and speed…

Learn the basics of LangChain in Python — Ready to quickly start with LangChain? In this tutorial, you’ll learn the basics of LangChain and how to get started with building powerful apps using OpenAI and ChatGPT. We’ll start by setting up a Google Colab notebook and running a simple OpenAI model…

Learn how to scrape reviews for Android apps and use the information to build a dataset for sentiment analysis — TL;DR Learn how to create a dataset for Sentiment Analysis by scraping user reviews for Android apps. You’ll convert the app and review information into Data Frames and save that to CSV files. Run the notebook in your browser (Google Colab) Complete project on GitHub Get SH*T Done with PyTorch "Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last, unless…leanpub.com

Learn how to classify human activity from accelerometer data with Keras and TensorFlow 2 in Python — TL;DR Learn how to classify Time Series data from accelerometer sensors using LSTMs in Keras Can you use Time Series data to recognize user activity from accelerometer data? Your phone/wristband/watch is already doing it. How well can you do it? We’ll use accelerometer data, collected from multiple users, to build…

Fine-tune pre-trained object detection model on a custom face detection dataset — TL;DR Learn how to prepare a custom Face Detection dataset for Detectron2 and PyTorch. Fine-tune a pre-trained model to find face boundaries in images. Face detection is the task of finding (boundaries of) faces in images. This is useful for security systems (the…

Learn how to predict demand from Multivariate Time Series data with Deep Learning — TL;DR Learn how to predict demand using Multivariate Time Series Data. Build a Bidirectional LSTM Neural Network in Keras and TensorFlow 2 and use it to make predictions. One of the most common applications of Time Series models is to predict future values. How the stock market is going…

Introduction to data preparation and prediction for Time Series forecasting using LSTMs — TL;DR Learn about Time Series and making predictions using Recurrent Neural Networks. Prepare sequence data and use LSTMs to make simple predictions. Want to learn how to use Multivariate Time Series data? Read in the next part: Demand Prediction with LSTMs using TensorFlow 2 and Keras in Python Learn how to predict demand from Multivariate Time Series data with Deep Learningtowardsdatascience.com