Chris
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
There are several methods to calculate the sum of the square roots of the first n numbers. Basic Iteration The most straightforward solution is to simply iterate from 1 to n, calculate the square root of each number, and add it to a running total. Runtime: O(n) Approximate Closed Form Solution An approximate closed-form solution … Read more
Here’s a beautiful opportunity to build a sustainable and scalable business online (as a coder): 💡 Creating a SaaS company that offers a value-added service wrapping OpenAI’s API. Let’s glance over ten promising examples: SaaS Idea 1 – Smart Content Creation Platform A platform that leverages OpenAI API for content creation (blogs, articles, social media … Read more
Imagine you have a project that requires you to process tons of text files, and these files are scattered throughout your folder hierarchy. By the time you finish reading this article, you’ll be equipped with the knowledge to efficiently fetch all the .txt files in any folder using Python. Method 1: The Os Module The … 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
If you’ve been working with OpenAI’s Codex, you might have come across the openai.error.RateLimitError: you exceeded your current quota, please check your plan and billing details. This error can be quite frustrating, especially when it blocks your requests. Based on a recent discussion on a forum, we’ve compiled several methods users found helpful in resolving … 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
Joining two lists in Python is a common operation when working with data structures, as it allows you to merge different sets of information highly efficiently. Python offers other approaches to combine lists, such as list comprehension and extending lists. The easiest approach is the ‘+‘ operator as it stands out for its simplicity and … Read more