ChatGPT Training Courses

"The new wave of generative AI systems, such as ChatGPT, have the potential to transform entire industries. To be an industry leader in five years, you need a clear and compelling generative AI strategy today." - Boston Consulting Group

Formats (Instructor-led, face to face & virtual)

FAQ

Generative Artificial Intelligence - What you need to know…

What is Generative AI?

Generative AI is a type of machine learning (ML) model that learns from examples to create new content. It can generate text, images, music, and even code. These models observe patterns in data during training and then use that knowledge to produce novel outputs.

Why is Generative AI Exciting?

GenAI has rapidly evolved from an interesting tool to a versatile solution with a wide range of use cases. Unlike some hyped technologies, it's immediately applicable and beneficial. Its potential for enhancing efficiency, automating tasks, and driving innovation resonates with individuals and businesses alike. Whether it's personalized customer experiences, creative content generation, or process automation, genAI offers endless possibilities.

Common Myths and Misconceptions:

Myth: "AI will replace humans entirely."
Reality: AI complements human capabilities, automating repetitive tasks and aiding decision-making. It's a collaborative tool, not a replacement.

Myth: "AI is infallible."
Reality: AI models have limitations and biases. Responsible use and continuous improvement are essential.

Myth: "AI understands context like humans."
Reality: AI lacks true understanding; it processes patterns based on data.

Myth: "AI is always right."
Reality: AI predictions are probabilistic; errors can occur.

Myth: "AI is a black box."
Reality: Efforts are underway to make AI more interpretable and transparent.

Key Concepts Explained:

Machine Learning (ML):
ML algorithms learn from data to make predictions or decisions. GenAI is a subset of ML.

Natural Language Processing (NLP):
NLP enables machines to understand and generate human language.

Deep Learning:
A subset of ML using neural networks for complex tasks.

Training Data:
Examples used to teach AI models.

Ethics and Bias:
Responsible AI development considers fairness, privacy, and bias mitigation1.

What is Chat GPT?

Chat GPT, like GenAI, is a generative language model. It's designed for conversational interactions, answering questions, and providing engaging responses. Chat GPT learns from diverse text data and generates contextually relevant replies. It's a powerful tool for creating dynamic conversations and assisting users across various domains.

ChatGPT was created by a San Francisco-based startup called OpenAI. The company has been diligently working on the GPT family of large language models for nearly a decade. The latest model, GPT-4, was released just a few months after ChatGPT's debut. When OpenAI was founded in late 2015, it operated as a non-profit AI research firm. However, by 2019, the company transitioned to a for-profit model. This shift allowed OpenAI to accept investments from venture capitalist firms and offer larger employee incentives.

Despite this transition, OpenAI remains a small company. It's not fully controlled by established giants like Google or Facebook/Meta. Instead, ChatGPT is wholly owned by OpenAI LP (Limited Partnership), which is the for-profit subsidiary of OpenAI Incorporated. Microsoft, a significant partner, has invested over $10 billion in OpenAI, but it does not directly own or control ChatGPT or OpenAI. Microsoft's investment has played a crucial role in enabling the development of GPT-3 (which paved the way for ChatGPT) and other AI advancements.

What Is Prompt Engineering?

Imagine you're talking to a helpful AI. You want to ask it something, like "Translate this sentence." But how you ask matters!

Prompt engineering is like giving clear instructions to get the best response. It's like telling a friend exactly what you need, so they don't guess.

How to Do It Well:

Be Clear: Instead of saying "Translate," say, "Translate this English sentence into French: 'Hello, how are you?'"

Give Context: Imagine you're chatting with the AI. If you say, "Tell me about Albert Einstein," the AI will know you want info about him.

Set Limits: You can control how much the AI talks. Imagine saying, "Keep your answer short, like a tweet."

Why It Matters:

Good prompts help AI understand better. They're like magic spells that make AI smarter.

So, next time you chat with an AI, remember: Clear, specific, and friendly prompts lead to awesome answers!

About STL

STL is a company that has been providing high-quality training for over 20 years. We invest a significantly higher proportion of resources into delivery quality and value through automation, personnel, and organizational efficiency. With a senior management totalling over 80 years experience working in STL alone, we are able to foster a long-term robust approach of mutually beneficial relationships that extend beyond our people to our customers, partners and suppliers alike.

We understand that one size does not fit all when it comes to training. Our culture of continuous evolution and improvement ensures that whether they work with you on an ad hoc skills improvement or an embedded training program, your people will receive high impact and contextually rich training.

About our partner, ChatGPT Trainings

At ChatGPT Trainings, their mission is clear: To build a more accessible AI future for everyone. They believe that revolutionary AI tools like ChatGPT, Bard, and MidJourney should not be limited to a select few. Their goal is to make these powerful tools available far beyond the English-speaking, tech-savvy crowd.

Meet Nathan Hunter (Founder, ChatGPT Trainings):
Nathan is a two-time TEDx speaker and the visionary behind ChatGPT Trainings. As an Amazon bestselling author of "The Art of Prompt Engineering with ChatGPT," he brings a wealth of expertise. With over a decade of experience, Nathan has led trainings in more than 30 countries. His unique approach places the learner experience at the heart of each course.