I spent the last couple of hours scouring the web for free LLM books that are not trash, scam, or outright malicious links. This curated list is the proud result. Have fun reading! 🥸👇 What Is ChatGPT Doing … and Why Does It Work? by Stephen Wolfram 📖 Description: “Nobody expected this—not even its creators: … Read more
Welcome to the ultimate video guide on the groundbreaking book “Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville! Why “Deep Learning” the book? It’s the definitive textbook in the field, “Deep Learning” covers a comprehensive range of topics, from the foundational concepts to the advanced techniques driving the latest innovations in artificial intelligence. … Read more
Deep learning has revolutionized various fields, including image recognition and natural language processing. Two prominent architectures have emerged and are widely adopted: Convolutional Neural Networks (CNNs) and Transformers. CNNs and Transformers differ in their architecture, focus domains, and coding strategies. CNNs excel in computer vision, while Transformers show exceptional performance in NLP; although, with the … Read more
The AI scaling laws could be the biggest finding in computer science since Moore’s Law was introduced. 📈 In my opinion, these laws haven’t gotten the attention they deserve (yet), even though they could show a clear way to make considerable improvements in artificial intelligence. This could change every industry in the world, and it’s … Read more
When exploring the world of large language models (LLMs), you might come across two popular models – GPT4All and Alpaca. These open-source models have gained significant traction due to their impressive language generation capabilities. In this article, we will delve into the intricacies of each model to help you better understand their applications and differences. … Read more
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