Microsoft and LinkedIn
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| show | t's easiest to make a computer system seem intelligent when it's working with set rules and patterns.
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| show | 1959. Computers at that time didn't have the processing power to identify complex patterns. So early artificial intelligence systems needed to focus on board games and other tasks that had simple rules and patterns.
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| When a customer asks a question, then the expert system will ask a follow-up question. It will do this until it makes a recommendation. What's one of the biggest challenges with this system? | show 🗑
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| Luella seeks medical attention for chest pains. A nurse uses an artificial intelligence program to diagnose the cause. Why is this system likely not really intelligent? | show 🗑
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| How does an artificial neural network learn? | show 🗑
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| show | They may be decisions that humans cannot understand.
Although humans program machines, they do not understand exactly how machines identify patterns in large datasets, which can lead to errors.
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| What type of impact does artificial intelligence have on robotics? | show 🗑
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| What impact will the Internet of Things (IoT) have on artificial intelligence? | show 🗑
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| A new online camping goods store wants to find connections between products customers buy and other products they might buy. Why would the company use unsupervised learning? | show 🗑
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| show | you draw the letter “B” on the board. Then you ask the two-year-old students to find a block with that same letter. the incorrect students compare their block to the letter “B” on the board, recognize the error and then decide to get another block.
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| Supervised learning | show 🗑
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| Why might you want to use reinforcement learning instead of unsupervised learning? | show 🗑
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| Reinforcement learning | show 🗑
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| show | You need a lot of pre-classified or labeled data for the training set. That means if you wanted to create a system that looked for dogs in images you needed to have tens of thousands of images known to contain dogs.
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| show | Create a trendline with fuel prices along the X axis and electric car sales on the Y axis.
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| regression analysis | show 🗑
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| How is K Nearest Neighbor like the old saying, “birds of a feather flock together?” | show 🗑
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| show | This is when you use a mix of different machine learning algorithms or data to improve the outcome.
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| when you use several machine learning algorithms to make better predictions. | show 🗑
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| show | bagging and stacking. Bagging uses the same machine learning algorithm with different data sets to improve the prediction power. Stacking can use several different machine learning algorithms “stacked” on top of each other to improve the predictions.
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| show | You underfit the model to the data, the simple rule made too many inaccurate predictions.
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| When creating a model | show 🗑
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| show | identify patterns that work with a small set of data but that doesn't fit when you start to look at larger dataset
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| show | you can add more variables. This can create a lot of complexity and you might miss data outliers (data that is close but doesn't quite fit the model).
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| How does the bias-variance trade-off affect machine learning? | show 🗑
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| show | the output layer
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| show | It will adjust the weights of the connections to see if it does a better job making a prediction.
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| show | That means it makes a prediction and then checks that prediction against the labeled data. The network tunes itself by adjusting the weights of the connections and the bias on the neurons. Then it sees if these adjustments improve the outcome.
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| With an artificial neural network what is the point of having a cost function? | show 🗑
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| show | to know how much to adjust its weights and biases., done through a calculation of the gradient descent which will increase or decrease the cost function.
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| show | a number the system uses to measure its answer against the correct answer
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| show | We will focus on what makes us unique as a species: our consciousness and our vision.
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| The invention of generative AI can be likened to what other monumental discovery? | show 🗑
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| What is an AI model? | show 🗑
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| Do you need to have a technical AI background in order to start a generative AI venture? | show 🗑
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| What is the primary function of generative AI? | show 🗑
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| What is the most notable functionality of Natural Language models like Chat GPT? | show 🗑
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| What are Midjourney, DALL-E, and Stable Diffusion, and which industries are their early adopters? | show 🗑
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| show | No they do not. They synthetically mimic human language. "Understanding" is a function that is unique to consciousness-based biological organisms.
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| How can VAEs can be used in anomaly detection? | show 🗑
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| How does a GAN network improve its ability to generate better content? | show 🗑
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| It is correct to say "AI is replacing humans"? | show 🗑
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| What will be the main benefit of generative AI in the next years? | show 🗑
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| show | It is our moral responsibility as early adopters of AI to provide guidance and education around AI and inform our employees and colleagues on how to overcome their fears, challenges, and biases towards this new tool.
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| show | Transparency, fairness, empathy and responsibility. Approach the production and all operations with caution, always ask "who is benefiting" from our generative AI solution.
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| show | Seek to inform ourselves better to overcome these fears. The nature of a singular fear is often related to complex web of several different fears in our subconscious, we shall inquire to transcend these fear
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| What shall be in the center of all (generative) AI research and development? | show 🗑
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| What is the goal of the continuous crawling process of a search engine? | show 🗑
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| When a user enters a query, what does the reasoning engine strive to provide? | show 🗑
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| When might a search engine be a superior tool to a reasoning engine? | show 🗑
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| Which is not a main function of a search engine? | show 🗑
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| show | verifying and validating search results
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| How can a user best combine a search engine and a reasoning engine to find information about an unknown topic? | show 🗑
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| show | It can have an actual conversation with the user.
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| show | They can understand your intent and not just the words you used.
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| show | In early training phases, human supervisors oversee the process, guiding the model towards accurate responses and contributing to its knowledge development.
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| True or False: Reasoning engines are an all-knowing source of truth and should be trusted implicitly. | show 🗑
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| show | a relevant, informative text response using human-like speech
Because reasoning engines process and understand human language, they are able to provide a relevant, well-reasoned, informative response using human-like speech.
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| When might a search engine be a superior tool to a reasoning engine? | show 🗑
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| show | Continue iterating. Keep regenerating and refining the prompt to get a more accurate, better result.
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| In prompt engineering, what is one-shot or few-shot learning? | show 🗑
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| In most instances, how should you craft your prompts? | show 🗑
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| show | You want to keep honing your prompt to get more and better results.
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| show | She can create a prompt with samples of her question and the answers that she would like to see.
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| show | Role play
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| True or False: Reasoning engines are an all-knowing source of truth and should be trusted implicitly | show 🗑
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| Three of these actions will help if you're having trouble using conversational-style Bing chat. Which actions will help | show 🗑
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| show | Use the letter as a starting point and edit it until it fits your needs.
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| You want to get clarification on a question you posed in Bing chat. Which action will not help? | show 🗑
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| Which three sources of data can Bing chat summarize for you? | show 🗑
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| Which item should include a disclosure that it was created using Bing chat? | show 🗑
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| show | inaccurate chatbots
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| ABC Corp's management uses AI to provide advice on selecting options for its marketing strategy. How can robust transparency help the company? | show 🗑
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| show | Limit the chatbot to customer service questions and no other purpose.
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| show | before starting the project
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| Why is it a good practice for the C-suite to develop, and perhaps even mandate, an AI training and education program for all employees? | show 🗑
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| show | when it involves compliance with a regulatory agency
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| How can a company best build customer trust, which can translate to a loyal customer base? | show 🗑
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| Why, more than any other reason, should a company perform a privacy audit? | show 🗑
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