AI and ML

LLMs are great at extracting the best of human knowledge from the past, but will they synthesize new information for the future?

LLMs are not the final answer to all our technology woes. The culture harkens back to the time of blockchain being the answer to everything. Proceed with caution.

Explore the realistic path to AI development in our detailed guide, focusing on transforming human expertise into advanced expert systems. Learn, apply, and excel in AI development.

ChatGPT is getting tons of press. It is well deserved. It's a major step forward. About half our clients are using it in some capacity. The skill in extracting the best results from these tools is incredibly valuable, and may become a new job title soon. "Artificial Intelligence Interpreter"

Artificial Intelligence will solve our problem. Lot's of entrepreneurs have a grand vision of how AI can solve any difficult problem for their business. This doesn't mean they're wrong, but the fields of AI and ML (machine learning) have many sub categories and areas of active research that allow us to make progress on quite specific computational tasks. Applying the wrong form of learning or problem solving to a task can produce underwhelming results. Tweaking and tuning a model or method is the way to get solid results and outpace your competitors in business use cases. I'd like to go through a few ML methods and what they're used for maybe to inspire some new ideas.

Artificial intelligence and machine learning are disciplines that cover many methods and systems. There are a ton of powerful tools and libraries that have been built by technologists that are ripe for application to business tasks. There are places where these novel methods can be applied in profitable sectors.