How can you overcome the context window size limit of LLMs? — One of the largest (no pun intended) limitations of Large Language Models (LLMs) is their context window size. Here’s an overview of the most popular LLMs and their context window size:

Explore AutoGen, a Microsoft library that lets you create LLM applications with agents. These agents can communicate and help you solve complex tasks. — We’ll begin with an introduction to AutoGen and its benefits. Then, we’ll kick off with a basic example of building a single agent for analyzing stock price trends. Afterward, we’ll delve into a more advanced demonstration, using four agents to construct a cryptocurrency indicator, drawing insights from historical prices and…

LangChain helps you to tackle a significant limitation of LLMs — utilizing external data and tools. — LangChain helps you to tackle a significant limitation of LLMs — utilizing external data and tools. This library enables you to take in data from various document types like PDFs, Excel files, and plain text files. It also facilitates the use of tools such as code interpreters and API…

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). …

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…