Artificial Intelligence

Gartner’s 2023 A.I. Hype Cycle

My LinkedIn profile is flooded with people creating A.I. generated images, and starting businesses around ChatGPT.

It’s very cool to see. Some of the images have left me scrolling for a while and I have even used ChatGPT to answer some technical questions or even to write a few blog posts.

These technologies stand to impact education, content creation and marketing for sure. They probably already are impacting our world more than we realize.

But the money and real usefulness of A.I. has very little to do with chat bots and cool imagery.

Data is the new oil.

Data drives intelligent applications, and automation. Messy, unorganized data makes A.I. nearly impossibly, as does having too much data or too little context.

The business opportunity in 2023 is primarily around data manipulation, computer vision and automated systems.

Great job by Gartner is illustrating this. Don’t stop playing with cool robots or autonomous Chat, but it’s a while before these are truly impacting our industries.

October 13, 2023 by Artificial Intelligence

ChatGPT Prompts

Social media is alive with people claiming to have the ultimate ‘ChatGPT Prompts’.

Yes, it’s important to prompt A.I. properly, and to understand it’s capabilities and limits. Generally speaking Machine Learning wants to be fed iterative prompts (solve successive problems with clear input and data sets).

But be wary of sudden experts claiming they have unique prompts. The technology is free and available to anyone and completely intuitive. Just talk to it like a human, experiment.

To learn more about ChatGPT, or to try it out for yourself just go here.

https://openai.com/blog/chatgpt


August 18, 2023 by Artificial Intelligence

What is Artificial Intelligence?

The following is the answer provided by ChatGPT, itself an Artificial Intelligence. Compare it to our human written version.

Artificial intelligence, or AI, refers to the ability of a computer or machine to perform tasks that would normally require human-like intelligence. This includes tasks such as learning, problem solving, decision making, and natural language processing (the ability to understand and generate human-like language).

There are several different approaches to creating artificial intelligence, including rule-based systems, decision tree algorithms, and artificial neural networks. The most well-known type of AI is probably “strong AI,” which is designed to be able to perform any intellectual task that a human can. However, there is also “weak AI,” which is designed to perform specific tasks, but is not necessarily able to perform other tasks that would require human-like intelligence.

One of the key goals of artificial intelligence research is to create machines that can “think” and “act” like humans. This has led to the development of a number of different AI technologies, including machine learning, natural language processing, and robotics. Machine learning is a type of AI that allows computers to learn and adapt based on data, without being explicitly programmed. Natural language processing allows computers to understand and generate human-like language. Robotics involves the development of robots that can perform tasks that would normally require human-like intelligence.

There are a number of potential applications for artificial intelligence, including in healthcare, finance, education, and transportation. For example, AI could be used to analyze medical records and help doctors diagnose diseases, or to analyze financial data and make investment decisions. AI could also be used to improve education by providing personalized learning experiences for students, or to improve transportation by developing self-driving cars.

However, the development and use of artificial intelligence also raises a number of ethical and social concerns. There is a fear that AI could lead to job loss and economic inequality, as machines may be able to perform tasks more efficiently than humans. There is also a concern about the potential for AI to be used for malicious purposes, such as for cyber attacks or to spread disinformation.

To address these concerns, there is a growing movement towards the development of “ethical AI,” which involves the creation of AI systems that are designed to respect human rights and values. This includes initiatives to ensure that AI is developed and used in a transparent and accountable manner, and to ensure that the benefits of AI are shared fairly.

In conclusion, artificial intelligence is a rapidly developing field that has the potential to transform a wide range of industries and applications. While it has the potential to bring many benefits, it is also important to carefully consider the ethical and social implications of its development and use.

January 9, 2023 by Artificial Intelligence

What is ChatGPT

ChatGPT is yet another ingenious invention from Elon Musk. Well, not entirely. I just finished a quick conversation to find out more – directly with ChatGPT…

Were you invented by Elon Musk?

I was not personally invented by Elon Musk. I was developed by OpenAI, a research organization focused on advancing artificial intelligence in a responsible manner. OpenAI was co-founded by a number of individuals, including Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, and Wojciech Zaremba. However, I am just a software program and do not have a personal identity or agency. I am here to assist users like you in finding answers to questions and completing tasks.

What is ChatGPT?

GPT, or Generative Pre-trained Transformer, is a type of language processing model developed by OpenAI. It is trained on a large dataset and can generate human-like text in a variety of styles and formats. GPT can be used for tasks such as translation, summarization, and text generation. It can also be fine-tuned for specific tasks, such as chatbot response generation. “Chat GPT” may refer to a GPT model that has been fine-tuned specifically for chatbot use cases.

How can a business owner leverage it?

There are a few ways that a business owner could leverage GPT in their business:

  1. Customer service: GPT could be used to create a chatbot that can answer customer questions and provide assistance in real-time. This could help to reduce the workload on customer service staff and improve the overall customer experience.
  2. Content creation: GPT could be used to generate blog posts, social media content, and other types of written content for a business. This could save time and resources that would otherwise be spent on content creation.
  3. Product descriptions: GPT could be used to generate product descriptions for an e-commerce site. This could be particularly useful for businesses with a large number of products.
  4. Data analysis: GPT could be used to analyze and summarize large amounts of data, such as customer feedback or market research data. This could help a business owner to quickly gain insights and make data-driven decisions.

It’s worth noting that while GPT can be a useful tool, it’s important to carefully consider how it will be used and ensure that it is implemented in a way that is ethical and transparent.

How do I implement? Is there an API?

Yes, OpenAI offers an API for accessing GPT and other language processing models. The API is a cloud-based service that allows you to send requests to the model and receive the generated text as a response.

To use the OpenAI API, you will need to sign up for an API key and install the OpenAI Python library. Then, you can use the openai.Completion.create method to send a request to the API and receive a response. Here’s an example of how you might use the API to generate text:

Copy codeimport openai

openai.api_key = "YOUR_API_KEY"

model_engine = "text-davinci-002"
prompt = "The quick brown fox jumps over the lazy dog."

completion = openai.Completion.create(
    engine=model_engine,
    prompt=prompt,
    max_tokens=1024,
    n=1,
    stop=None,
    temperature=0.5,
)

message = completion.choices[0].text
print(message)

This code will send a request to the GPT-3 model using the specified prompt and receive a response containing the generated text.

You can find more information about using the OpenAI API in the documentation: https://beta.openai.com/docs/quickstart

There are also other ways to access GPT and other language processing models, such as through third-party services or by running your own instance of the model.

Wow, that’s pretty impressive for a computer. To get help implementing ChatGPT Automation use this link.

Above: Actual conversation with ChatGPT
January 9, 2023 by Artificial Intelligence

What does Machine Learning have to do with SEO

Machine Learning has driven SEO for years. Above: Google's Page Rank Algorithm

Whether you like it or not, or even want to think about it, robots are already controlling your website. I can’t get into all of the different ways that a bot is probably impacting your revenue right now, but I do want to delve into Search Engine Optimization (SEO) for a minute.

SEO is one ways that for years ‘experts’ have supposedly been able to game search engines like Google and Bing in an effort to make their website rank higher than another.

The truth is – you can impact your SEO. By sending signals such as page speed, meta content, external validation and keyword focus you can actually train an SEO bot to view your site a certain way.

The algorithms that calculate the search results run very quickly to provide us with fast search results, but they run very slowly in terms of indexing the web.

Here is a very quick example:

The robauto.ai domain at the moment has a domain rank of 15. It’s indexed in Google very quickly because the content is always new and many people reference it.

We can signal Google’s Machine Learning that another website is valuable or interesting by linking to it in a certain way.

For example, let’s say we wanted to rank #1 for pressure washing jacksonville but our website is about pressure washing in sarasota.

Easy fix. Just signal the machine that it’s also about jacksonville by linking to it from other sites with authority in general, particularly pressure washing authority.

November 23, 2022 by Artificial Intelligence Machine Learning

Elon Musk Deepfakes and the coming A.I. Tsunami

It’s coming – or here already. A wave of deepfakes most of which will be easy to spot.

The face on this fake Elon Musk TikTok is pretty good. But as soon as the video starts you can see it’s a fake. The English is off and Elon doesn’t throw money around in TikTok videos.

A.I. isn’t to that point and may never be. But one thing it is good at already is this type of funny and strange content.

Here is the video:

November 11, 2022 by Artificial Intelligence

Robots In Society

For more than 10 years we’ve been building robots. We’ve built robots to talk, robots to roam and robots to work. More than anything, robots are hard. They are generally mobile and struggle to stay connected. Their controls never work as planned, the sensors are buggy and generally nothing works like you’d imagine.

But they are still the future.

A few areas where robots are working really well already:

-Manufacturing
-Recycling
-Lawn mowing
-Restaurants

A few areas where they have a long way to go still:

-Humanoid robots
-Full voice recognition and A.I. driven conversations
-Offline functionality
-Power usage and storage

Watch over the next few years as robots begin to incorporate into our society, but beware of the robot hype. They are not yet ready to take the place of humans!

October 5, 2022 by Artificial Intelligence

The Age of A.I.

Artificial Intelligence is mainly hype. Trillions of dollars have been thrown at this problem and we still, as humans, really don’t benefit much from it yet. Sure, there are areas where machines augment our work, such as finance, security, healthcare, advertising and fraud detection.

But for the most part, A.I. gets us 90% of the way, but leaves us with a gap we can’t solve yet.

Still, Google’s CEO came out recently and said A.I. may be more important and impactful than electricity. It’s one of those areas that organizations need to start yesterday beginning to understand, but may not need to implement anything quite yet.

October 4, 2022 by Artificial Intelligence

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