AI dramatically increases productivity by adding leverage. One person can now run an entire media company. Novice investors can explore and understand public financial statements. AI provides users with capacity they never previously had; that means, more time spent on new initiatives and creative problem solving. Learning how to use AI will make you an asset to any team you’re looking to join. Whether you’re starting a company or applying for your dream job, understanding how to use AI is paramount, and in a few years, an expectation.

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• What is a LLM?

  LLM in the context of AI refers to a Large Language Model. It is a type of AI model that has been trained on a diverse range of internet text. GPT-3 and GPT-4 by OpenAI are examples of such models. These models can generate creative text and answer questions by predicting the likelihood of a word given the previous words used in the text. They are capable of understanding context, generating narratives, translating languages, and much more.

• How can I use AI at work?

  AI can be used at work in several ways: automation of routine tasks, data analysis for decision-making, customer service via chatbots, content creation and editing, and enhancing cybersecurity. AI tools can increase efficiency, reduce human error, and provide insights from big data.

• What’s the best AI strategy course?

  There’s a variety of AI strategy courses available on Maven.com. You’ll find courses on how AI applies to business and growth strategy. You can also learn how to incorporate AI into your product strategy too.

• Is AI just another internet fad?

  AI is not just another internet fad. Its impact extends far beyond the internet and affects numerous sectors, from healthcare and finance to transportation and energy. Its algorithms and models are becoming central to decision-making processes and the development of new technologies, making AI a vital part of the future of work.

• How does AI work?

  AI works by simulating human intelligence processes with the help of algorithms and computational models. Machine Learning, a subset of AI, allows systems to learn from data, identify patterns, and make decisions with minimal human intervention. Techniques like neural networks, which mimic the human brain, and deep learning, which uses layered neural networks, facilitate complex pattern recognition.