Who teaches machines how to learn?

From the previous blog

 The ML model at the right  becomes useful, when we have lots of data fed continuously,  Training the ML model takes up over 80% of the time required to a useful Artificial Intelligent model, good enough, but never never absolutely perfect. Without data, ML does not work

Who is the teacher of a machine learning?

Classical idea of a teacher is the one who knows everything telling the pupil who knows nothing how to do things. This idea is medieval,

Confucius brought light

Do I regard myself as a possessor of wisdom? Far from it?But if even a simple peasant comes in all sincerity and asks me a question, I am ready to thrash the matter out, with all its pros and cons, to the very end.

Teaching in Confucian definition is sharing  doubts and experiences with other intelligent people in a process that leads to new knowledge. Note that a machine is not human, it is a dummy

 Teaching is the best way to Learn

This is again and again a re-discovered truth by creative people.  It is also a title of a Medium blog of Joe Toscano, the Google star CX UX designer. He describes his experience

 Teaching will make you think different

 Teaching will humble you, when one see getting across to people

 Teaching is the best way to learn. If there’s one thing I recommend to all professionals, it’s that you get out and teach.

The Ultimate guide to Chatbots

In this blog of Joe Toscano _- published in October 2016 – it is too early to write about Bot Building Best Practices. Each thought has value, but it does not form something unified, not even remotely.

His advise is:

• Bots should not take over the role of a human being
• Use your knowledge of user’s sentiments to trigger content blocks to extend and improve the experience at the most appropriate time.
• Designing for human emotion is just as, if not more, important with chatbots as it is with any other experience.
• Accept that building your AI is going to take time and that initially it’s not going to work well. The only way it gets better is when it breaks. Plan for this and create boundaries (narrow domains) to limit breaks.
• …

In Cooldimi, we went beyond technological creation of bots

We go back to Confucius who lived two and half millenniums ago. It says that teaching is sharing  doubts and experiences with other intelligent people in a process.

Who is the teacher? More important than teacher, who is the Orchestra Director?

We can demo how we created our Cooldimi bot training pilot cockpit with all the tools required to orchestrate the machine learning. We go beyond technology We believe in an unbiased sentiment analysis interwoven in the bot texture.

Cooldimi believes in changes, in continuous content updates and improvement, and it can take care of it for your organization.

Like Confucius, we welcome anyone to ask a question. This question will lead to the knowledge you already have hidden but you did not know how to extract it yet yet.

Cooldimi way to orchestrate initial content

• Make it conversational – conversation could be back and forth a few times.
• Think from users point of view instead of enterprise’s. What you want to tell them?
• Think of multiple conversations – even though there is duplication of information, that should be fine.
• Always add greetings and thanks
• Don’t add seasonal, temporary information, unless someone will update it regularly and timely
• Define clear alarms to trigger human intervention
• Compare against the goals of the bot all the time