Ever gotten this error when trying to generate a large body of text with GPT-4? This model’s maximum context length is <8192> tokens. However, your messages resulted in <a Gazillion> tokens. Please reduce the length of the messages. So was I. Now I have just discovered that the new “gpt-4-32k” model slowly rolls out, as … Read more
Large Language Models (LLMs) have been at the forefront of recent innovations in machine learning and natural language processing. 🧑💻 Recommended: 6 New AI Projects Based on LLMs and OpenAI This surge in interest can be attributed to the incredible potential LLMs hold in tasks like text summarization, translation, and even content generation. As with … Read more
ChatGPT, developed by OpenAI, is an AI model designed for generating human-like text based on given inputs. The API allows developers to harness the power of ChatGPT for a wide variety of applications, including natural language processing tasks. When utilizing the ChatGPT API, one critical aspect is temperature, a hyperparameter that impacts the generated text’s … Read more
If you are interested in natural language processing (NLP) and computer vision, you may have heard about MiniGPT-4. 🤖 This neural network model has been developed to improve vision-language comprehension by incorporating a frozen visual encoder and a frozen large language model (LLM) with a single projection layer. MiniGPT-4 has demonstrated numerous capabilities similar to … Read more
I asked the Finxter community of >150,000 coders how they used ChatGPT to create value in their own lives. I compiled all replies in this epic list of ideas. Of course, I used ChatGPT to help me summarize the main ideas I received from Finxters worldwide. ♥️ If you haven’t already, join 150,000 Finxters in … Read more
In this article, we will use PyTorch to build a working neural network. Specifically, this network will be trained to recognize handwritten numerical digits using the famous MNIST dataset. The code in this article borrows heavily from the PyTorch tutorial “Learn the Basics”. We do this for several reasons. Knowledge Background This article assumes the … Read more
Although Neural Networks do a tremendous job learning rules in tabular, structured data, it leaves a great deal to be desired in terms of ‘unstructured’ data. And there we come to a new concept: Recurrent Neural Networks. Recurrent Neural Network A Recurrent Neural Network is to a Feedforward Neural Network as a single object is … Read more
Is TensorFlow Better Than PyTorch? Since PyTorch made its way into the machine learning sphere in 2016, loyalists from both camps have sung the praises of their framework of choice. Today, curious minds such as yourself are looking through page after page to find out which one is worth your valuable time and effort. Both … Read more
👉 This is a follow-up article to Gradient Descent in Neural Nets – A Simple Guide to ANN Learning – Finxter, where a lightweight introduction to Gradient Descent is given. In this article, you will learn how to produce the graphs in that article, especially the vector fields! Data visualization is an enlightening task in … Read more
💡 Gradient Descent: What is it? Where does it come from? And what the heck is it doing in my ANN? You can scroll through the slides as you watch this video here: This article aims to present the gradient descent algorithm in a light fashion, familiarizing new Machine Learning enthusiasts with this fundamental technique… … Read more
In this article, we will introduce one of the core elements describing the mathematics of neural networks: tensors. 🧬 Although typically, you won’t work directly with tensors (usually they operate under the hood), it is important to understand what’s going on behind the scenes. In addition, you may often wish to examine tensors so that … Read more
Artificial neural networks have become a powerful tool providing many benefits in our modern world. They are used to filter out spam, perform voice recognition, play games, and drive cars, among many other things. As remarkable as these tools are, they are readily within the grasp of almost anyone. If you have technical interest and … Read more