1. AutoGPT 🛺:

   AutoGPT is an experimental open-source project built on the latest chatGPT model i.e., GPT-4. It is not limited to chatGPT as it can also do a web search and try to find information from the internet when a client gives us a project with instructions on what to do. We, as analysts, perform tasks to fulfill the project requirements. In the same way, by assigning a project to AutoGPT, it will do on its own all the necessary functions to meet the project's requirements.

Who developed AutoGPT?

Auto-GPT was posted to GitHub, a platform for software developers, by a user named Significant Gravitas. A demo video was posted to the site on March 30, 2023. It is made using OpenAI’s latest and most advanced model from the GPT series, GPT-4.

Is AutoGPT AI?

Well, yes and no. Although Auto-GPT seems a shade similar to what ChatGPT and other AI chatbots offer to users, it is described as a glimpse into “Artificial General Intelligence” or AGI, which is a machine that is capable of understanding or learning any intellectual task that a human can. AI, on the other hand, carries out specific tasks that it is asked to perform. AGI applications can find solutions when faced with unfamiliar tasks as well.

However, AGI is still believed to be a hypothesis by many, so the topic of ‘AGI versus AI’ is still a debated one.

what can AutoGPT do?

The possibilities, as things are when it comes to the vast playground of AI, are seemingly endless. Auto-GPT has internet access, long-term and short-term memory management, GPT-4 for text generation and file storage, and summarisation with GPT-3.5. It uses DALL-e for image generation as well.

It can generate test cases, debug code, and even stir up innovative business ideas. Twitter users who had the opportunity to test the tool tried out a variety of tasks: including carrying out research, finding a person’s digital footprint, and generating code.

One user even asked Auto-GPT to “reimagine the future of health and medicine,” which generated an interesting response.

Some of the possible applications of AutoGPT are:

• Content creation: AutoGPT can help you write stories, poems, essays, songs, or any other kind of text you need.

• Data analysis: AutoGPT can help you process, visualize, and interpret large amounts of data from various sources.

• Web development: AutoGPT can help you design, code, and deploy websites and web applications with minimal human input.

• Education: AutoGPT can help you learn new skills, concepts, and languages by providing personalized feedback and guidance.

• Entertainment: AutoGPT can help you have fun and relax by generating jokes, games, trivia, or anything else you enjoy.

How does AutoGPT work?

AutoGPT works based on an autonomous AI mechanism where the AI system creates different AI agents to meet specific tasks, which include:

• Task Creation Agent: When you enter your goals on AutoGPT, the first AI agent to interact with the task creation agent. Based on your goals, it will create a list of tasks with steps to achieve them and send it to the prioritization agent.

• Task Prioritization Agent: After receiving the list of tasks, the prioritization AI agent ensures the sequence is correct and makes logical sense before sending it to the execution agent.

• Task Execution Agent: Once prioritization is done, the execution agent completes one task after another. This involves tapping into GPT-4, the Internet, and other resources to get results.

  The above agents also communicate with each other. So when the execution agent completes all tasks, and the results are unsatisfactory, it can communicate with the task creation agent to create a new list of tasks. This becomes an iterative loop between the three agents until all user-defined goals are completed.

  The actions of the AI agents are also shown on the user interface by categorizing them into four groups: thoughts, reasoning, plan, and criticism. Firstly, the AI agent shares thoughts after completing a task. Then comes reasoning, which explains why the AI agent is doing what it’s doing. After that, the system provides a plan to complete the task. Finally, the system also gives criticism to allow the AI agent to rectify its mistakes and overcome any limitations.

  By sharing this computational flow, AutoGPT gives insights into how it approaches a particular problem and overcomes them without any user intervention.

  who can access AutoGPT?

  Since Auto-GPT is a free, open-source application, it can be accessed by all. Unfortunately for those thrilled to hop on this GPT-coded train, the installation will require some time and patience. While ChatGPT can be accessed easily through its official platform, running Auto-GPT requires users to access the following: Python 3.8, an OpenAI API key, a PINECONE API key, and an ElevenLabs Key.

  After this, some technical steps are required. For a more detailed to-do list of how to run Auto-GPT, follow the instructions from the official GitHub post.

🚀 Features

🌐 Internet access for searches and information gathering

💾 Long-term and short-term memory management

🧠 GPT-4 instances for text generation

🔗 Access to popular websites and platforms

🗃️ File storage and summarization with GPT-3.5

🔌 Extensibility with Plugins

Interesting fact 🤩: AutoGPT is more popular than chatGPT than its Github repo and already gets 127k stars in a very short period.

Read this article📃 to know how to configure and install AutoGPT🛺.

If you want to get access to AutoGPT for free💫, visit the below link:

• https://agentgpt.reworkd.ai/

• https://beta.nando.ai/sign-in.php

  Both AutoGPT and chatGPT are based on GPT4 architecture.

• It automates the execution of an entire task based on instructions that it receives.

• It can execute bigger tasks like creating websites, writing articles, marketing, etc. based on its access.

• It enjoys greater autonomy than chatGPT.

  I believe AutoGPT is changing how we interact with LLM models like GPT-4. We can now see how an AI approaches a problem, learns from mistakes, and delivers good results, allowing us to optimize our prompts better. So AI agents aren’t going anywhere, but they will take time to mature and drive meaningful user adoption.

  Limitations

  Although AutoGPT can generate content with minimal human intervention, it has some major downsides such as high costs, limited functionality, inadequate understanding of context, data bias, limited creativity, and security risks. It is not yet capable of achieving the AGI (Artificial General Intelligence) due to data quality, generalization, and explainability issues. Despite the shortcomings, it has huge potential to revolutionize our daily lives and the way we work.

  1. Blade Runner.AI 🏃🏼‍♂️:

This tool is based on augmented reality which is the first and only browser plug-in that uses AI to highlight text on the page to reflect whether or not it was written by the GPT. GPT detectors are not a new idea, however, creating an augmented reality experience that seamlessly highlights the information in front of you is new.

Blade Runner.AI is a groundbreaking tool that revolutionizes the way we interact with augmented reality (AR) and artificial intelligence (AI) technology. It serves as a browser plug-in, and what sets it apart is its unique capability to highlight text on a webpage and provide insights into whether it was written by an AI language model known as GPT (Generative Pre-trained Transformer).

While GPT detectors are not entirely new concepts, Blade Runner.AI takes it a step further by seamlessly integrating the augmented reality experience. As you navigate through webpages, the tool uses AI algorithms to identify text generated by GPT and highlights it in real-time, allowing users to discern AI-generated content from human-written text.

By employing augmented reality, Blade Runner.AI enhances our ability to distinguish between AI and human-generated content. This feature has significant implications in various areas, such as combating misinformation, promoting transparency, and understanding the prevalence of AI-generated text across the web.

With the rise of AI language models, it has become increasingly important to identify and differentiate between content created by humans and AI systems. Blade Runner.AI addresses this need by providing users with a tangible visual representation of AI-generated text, helping them make informed decisions about the information they encounter online.

By bridging the gap between AR and AI, Blade Runner.AI opens up new possibilities for enhancing our browsing experience and understanding the influence of AI on the content we consume. It represents an innovative step towards creating a more transparent and AI-aware online environment, empowering users with the tools to navigate the digital landscape more effectively.

Users/ Test Writers

• A new asset requirement type has been introduced, allowing users to declare any asset obtainable with avocado.utils.asset to be downloaded, cached and thus be available to tests.

• --dry-run is now supported for the nrunner.

• The man page has been thoroughly updated and put in sync with the current avocado command features and options.

• Avocado can now run from Python eggs. It’s expected that official egg builds will be made available starting with Avocado 90.0. Avocado is planning to use eggs as an automatic and transparent deployment mechanism for environments such as containers and VMs.

• The datadir.paths.logs_dir and datadir.paths.data_dir are set to more consistent and predictable values, and won’t rely anymore on dynamic probes for “suitable” directories.

Demo of BladeRunner.AI

Hello, my name is Jim and I am 60 years old. I live on a farm in Kansas and have been an active member of my community for many years. I enjoy participating in local events and volunteering my time to help those in need. In my free time, I enjoy working on the farm and spending time with my family and friends. I saw your pictures and I'm interested in learning more about you.

The highlighted part is generated by AI bots and the rest is not known.

The year is 2023 and robots have taken hold of the internet. Humans struggle to distinguish messages sent by their own species from those generated by the tools they created. Confused and manipulated by the unreasonable effectiveness of the large language models, the humans devise yet another tool to help them find robots in the wild. Its name is BLADERUNNER.AI.

In the age of AI, the constellation of digital experiences will collectively become a GAN, where bots are the generators (objective: fool humans into thinking that the AI is another human) and humans are the discriminator (objective: detect AI impostors). Organizations will be held to a higher standard of discriminator accuracy as shareholders, staff, and customers become increasingly wary of AI-generated content.

Get started with BladeRunner.AI by visiting the tool.

1. Rationale.ai :

A revolutionary AI to assist business owners, managers, and individuals in making tough decisions.

Decision-making can be a daunting task, especially when you have to weigh multiple factors and consider the potential consequences of your choices. That's where Rationale comes in. With state-of-the-art GPT3.x and in-context learning algorithms, our app is specifically designed to help you make informed decisions.

Simply enter a pending decision or indecisive options, our latest GPT and in-context learning algorithms will list pros and cons, generate a SWOT analysis, and conduct multi-criteria analysis or causal analysis to help you weigh your options. By considering all relevant factors and your background, Rationale helps you make a rational decision.

Pros & cons Listing and SWOT analysis

One of the standout features of Rationale is its ability to generate cost-benefit analyses, pros and cons lists, SWOT analyses, and other decision-making techniques in seconds. This means you can quickly and easily weigh your options and make a more rational decision.

🚀 Features

🤖 AI decision-making tool

📄 4 decision-analysis technique

👨🏼‍🏫 Personalized analysis

🔊 Customizable tone

⚡ Quick results in 10 sec

🌐 Multilingual

🖇️ API and data access

Technology Used 👨🏼‍💻

The rationale is built on GPT, a large language model. Rationale leverages in-context learning to generate more accurate and coherent analysis. It also uses a novel approach to generate analysis in multiple languages.

There is both a free and a paid version available.

No credit card is required. The free plan offers you 20 credits once logged in. You can get more free credits by unlocking achievements.

Other products :

- PromptPerfect

- SceneXplain

Visit this link to access rationale.ai

Summary

So, if you're someone who values their time and wants to make the best decisions possible, give Rationale a try. With fast, high-quality analysis reports and the ability to access the app in your preferred language, it's never been easier to make informed, rational decisions. And with API access to our AI engine, you can even export your data and integrate it into your own applications.