Author: Kevin

Image by Steve Johnson Upsplash

Updated: October  2024

Several nuances are rising as top challenges for customers who  are seeking to understand and implement AI. The realization, is an awareness that a majority of “off-the-shelf” AI applications simply to not “scale”. These OTS applications are not “enterprise ready” and are  unable to fulfill the companies requirements. Additionally, these applications perform poorly, and do not solve for the higher expectations of an “enterprise” application.  AI applications can enhance the enterprise only if the LLM models are “tweaked/tuned” to ensure align with the customers, data, strategy and culture. With this realization, companies are seeking AI partners who are skilled at “tuning” AI models and can offer performance grade solutions. 

One of the geneses for the recent AI Innovations is the creation of computer “chips” that provide the pathway for millions even trillions of processes required for AI to deliver its “intelligence”.

Nividia is one of the leaders in the manufacturing chips to upgrade data centers to process AI software.  Currently, Nividia is anticipating the release of the “Blackwell” chip.

Cerebras, an American AI company who also build computer system for AI, is set to release an AI inference ship which could compete the Nividia’s chip.

Apple just announced the Iphone 16, designed specifically for AI “superpowers” via Apple Intelligence and via the Camera’s unique Visual Intelligence.

New opportunities in AI, will provide careers as an AI Tutor, someone who teaches and codes for AI and prompt engineers, someone who can unlock the power of AI.

The rate of acceleration continues, the scope of AI continues to amaze.
The applications become more relevant. AI is here! It’s not coming soon.
AI is here today, tomorrow and beyond.

Artificial Intelligence is forward thinking and forward leaning at an amazing pace. Eclipsing the rate of research, product innovation, computer networking and computing infrastructure. AI is the collision of engineering, coding and innovation.

There are 5 AI domains:

1. Conversation AI (i.e. Generative AI)
2. Reasoning AI
3. Autonomous AI
4. Innovating AI
5. Organizational AI

Generative AI
Generative artificial intelligence is artificial intelligence capable of
generating text, images or other data using generative models, often in
response to prompts. GPT stands for Generative Pre-Trained Transformer,
based on the transformer architecture, pre-trained on large data sets of unlabeled text, and able to generate novel human-like content. (Wikipedia)

A journey for the mind. A transport for everyone’s creativity. Here comes the impact of Generative AI on art, music, and design. Every present,
every growing. Reaching, where few have traveled.  Here’s a list of just a
few of the Generative AI* site’s I have explored. *

One of many items to consider and to understand when working with AI tools
is the understanding of how AI is coded. Is the AI tool “learning”
supervised or unsupervised?

Here are a few of GPT image, video and audio creation tools i.e. Generative AI

1. 1. ChatGPT
   2. Midjourney
   3. Lensa
   4. Beautiful.ai
   5. Jukebox
   6. Musicfy

The quality of the content, generated from the platforms listed, will depend on the algorithms and the database the companies used to “train” their applications.  These quality of of the results may also depend on a your use of a “free” version or a “paid”version.
I assume the paid versions will also deliver finalize your content “quicker” than a “free” version.

I just tried Perplexity @  Perplexity.ai.  Wow! Amazing, Using these “human-like” response databases begs the question, what is the future of traditional web “search”?

Is AI a technology to fear? Or is AI a tool to serve ourselves, our lives and our humanity?

View the Google video to view and review Google’s AI Initiatives.