I wanted to let you know that we have added a new model to 4sysops AI called Perplexity PPLX 70B Online. What sets this model apart is that it conducts an online search for every query and summarizes the content from the first few result pages. This approach has the advantage of providing access to timely information.

After announcing the free use of ChatGPT 4 on 4sysops, I added four more models to 4sysops AI. Google Gemini Pro, Anthropic Claude 3 Opus, Mistral Large, and Meta Llama 2. Using multiple model increases  the probability of receiving accurate information. In case one model fails to deliver a satisfactory response, you can seek alternative solutions. All models are continuously updated with our latest IT content and thus have no cutoff date. The usage of 4sysops AI is currently free.

In my previous post, I explained how you can quickly allocate an Elastic IPv4 address and associate it with an EC2 instance. As Amazon has recently started charging for in-use IPv4 addresses, you might want to consider switching to IPv6. Using the AWS Management Console to assign an IPv6 to an EC2 instance is not really straightforward. Several AWS network components must be correctly configured to make IPv6 work. The bash script introduced here checks all components, adds any missing pieces, and then assigns the IP to an EC2 instance.

In previous articles, I explained how to create an AMI from an EC2 instance and then launch the instance with scripts. Next, you probably want to assign an Elastic IP (IPv4 address) to the instance. In this post, you will learn how to allocate, release, associate, and disassociate an Elastic IP with the AWS CLI and bash scripts.

Members can now enjoy free access to 4sysops AI powered by ChatGPT 4 (GPT-4 Turbo). 4sysops AI is a continuously updated and does not have a cutoff date of April 2023 like ChatGPT. As you may be aware, the free version of ChatGPT only supports ChatGPT 3.5, while the paid membership of ChatGPT Plus, which costs $20 per month, provides access to ChatGPT 4 (GPT-4). 4sysops members can now access the Turbo version of ChatGPT 4 for free, which is faster than the standard ChatGPT 4 available with the Plus subscription.

In my previous post on the OpenAI API, I introduced a simple chatbot that demonstrated how to interact with the API. In this post, I will take it a step further by showing you how to create your own ChatGPT app. You may be wondering why you need your own ChatGPT app when you can use the OpenAI web interface.

Sometimes, the remote extensions that are installed by Microsoft Visual Code (VS Code) on remote systems can consume high amounts of CPU usage, making it difficult to use the server efficiently. However, my script can help limit the CPU usage of VS Code on a remote server.

We have just added an experimental feature to 4sysops. At the end of every blog article, you will find a chatbot that enables you to ask questions about the article. You may use this feature if you need further clarification or want to gain additional information not covered in the article.

In a previous post, I explained how to install the Python OpenAI SDK on macOS and Windows. Today, we will expand on using the Open AI API a little further. Today we will develop a basic chatbot as an example. The primary purpose of this article is to gain an understanding of the three roles the Chat Completions endpoints offer: System, User, and Assistant.

A GPT is a customizable version of ChatGPT that can perform specific tasks or enhance its abilities in specialized areas. GPT Actions are like superpowers for GPTs, letting them interact with external sources and services, expanding their abilities beyond text generation. In this post, I will show you how to connect your GPT to Gmail using the Zapier AI Actions OpenAPI API. This will allow you to search your Gmail inbox, have ChatGPT summarize emails, or even send emails on your behalf.

2024 will most likely be the year when many admins will be faced with deploying AI systems for the first time. Once you play a little with the OpenAI API, you will begin to understand why Large Language Models (LLMs) are not just useful for chatbots. If AI companies can find a way to fund the content to train their models, we may be on the brink of a new era in IT. For many administrators, this means becoming acquainted with AIOps, a term that will become more prevalent in the upcoming year. A great way to start with AIOps is to install the OpenAI SDK on your Mac or Windows PC.

OpenAI is nervous. Very nervous. Their latest blog post is proof. They have realized that the ongoing lawsuit with the New York Times poses a significant threat to their entire business model. Their belief that they could freely harvest the content of the entire internet for training their AI models was, in fact, quite naive.

In my previous post, I shared a Bash and PowerShell script that enables you to swiftly generate an Amazon Machine Image (AMI) from an EC2 instance. In this post, I will be explaining how you can promptly launch an EC2 instance using the AMI.

The provided Bash and PowerShell script helps automate the creation of Amazon Machine Images (AMIs) from existing AWS Elastic Compute Cloud (EC2) instances. This is particularly useful for creating point-in-time backups or disaster recovery. I mostly use the script to quickly clone an EC2 instance for testing or troubleshooting.