UC Berkeley researchers just published a new paper and website 🦍 Gorilla: Large Language Model Connected with Massive APIs that essentially translates English language to API calls. To keep it simple, here’s my layman’s explanation of what the model is providing to you: Input: An English language query.Output: An API call (=code) that’s most relevant … Read more
Installing Auto-GPT is not simple, especially if you’re not a coder, because you need to set up Docker and do all the tech stuff. And even if you’re a coder you may not want to go through the hassle. In this article, I’ll show you some easy Auto-GPT web interfaces that’ll make the job easier! … Read more
Artificial intelligence has brought us powerful tools to simplify our lives, and among these tools are Auto-GPT and ChatGPT. While they both revolve around the concept of generating text, there are some key differences that set them apart. 🌐 Auto-GPT, an open-source AI project, is built on ChatGPT’s Generative Pre-trained Transformers, giving it the ability … Read more
OpenAI’s Error Reference Number 1020 is a common issue faced by some users when trying to access services like ChatGPT. This error message indicates that access has been denied, which can be quite frustrating for those looking to utilize the capabilities of OpenAI products. There are several possible reasons behind this error, including site restrictions, … Read more
This quick guide assumes you have already set up Auto-GPT. If you haven’t, follow our in-depth guide on the Finxter blog. Use ./run.sh –help (Linux/macOS) or .\run.bat –help (Windows) to list command line arguments. For Docker, substitute docker-compose run –rm auto-gpt in examples. Common Auto-GPT arguments include: –ai-settings <filename>, –prompt-settings <filename>, and –use-memory <memory-backend>. Short … Read more
👨💻 My goal was to give you the guide I wished I had when setting up Auto-GPT the first time so you don’t have make the same mistakes I made. Although Finxter already has a setup guide for Auto-GPT, I felt that most resources you find online don’t tell you the proper steps (including our … Read more
Open-source LLMs have taken the world by storm in just a little over 2 months, ever since LLaMA’s weights were made available for anyone to tinker and play with. Just less than 2 weeks after the untrained LLaMA model was released by Meta. 💡 A model’s weights are the values set to each parameter after … Read more
This article explores the power of OpenAI’s GPT-4 as a tool for individual creativity and innovation. I’ll discuss how GPT-4 catalyzes personal growth, boosts productivity, and streamlines complex tasks. Challenging conventional wisdom, I argue for the benefits of independent work with GPT-4 over corporate structures. By showcasing practical case studies, I aim to inspire individuals … 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
A leaked document titled “We Have No Moat and neither does OpenAI” is causing ripples within the AI community. Though its origin is associated with Google, the document stands out for its in-depth analysis and intriguing argument that its content is profoundly thought-provoking, regardless of whether it originates from Google. 💡 Quote: “But the uncomfortable … Read more
MPT-7B is a large language model (LLM) standard developed by MosaicML, for open-source, commercially usable LLMs and a groundbreaking innovation in natural language processing technology. With nearly 7 billion parameters, MPT-7B offers impressive performance and has been trained on a diverse dataset of 1 trillion tokens, including text and code. As a part of the … Read more