Ai Technology Ask Questions – All the stupid questions that you wanted to ask about AI answered the guy who had already asked them to everyone.
I asked every stupid question about AI for many years – this is what I learned from technical experts who could actually answer them.
Ai Technology Ask Questions
If you talk with everyone who works in technology, they seem to know everything you need to know about artificial intelligence. How they should; This is their complete job – to know this. But in the acquisition of AI talents, this is just that we are pampering an incomplete working day to make our life a little better. Our priority is people. The problem is that AI is not something that comes with step-by-step guides according to the instructions-this material is complex and confusing, and it is quite easy to feel stupid.
Getting The Truth From Ai
Guess what? We all felt like that at some point. In fact, the only way to understand AI is to ask stupid questions until you have all the answers.
I asked every stupid question possible for many years – and I had technical experts who know much more about AI, give me answers.
Let’s start with the basics, because if you do not understand this, you cannot understand anything. The complex part is that “AI” is not just one thing, it is a lot of different things. AI can play chess, but he can also drive a car. It can also help plan 1,000 interviews with candidates instantly. These things are really different! But they still rely on the same technology. AI, in essence, is “a technology that allows computers and machines to model the capabilities of human intelligence and solutions to problems.”
Chatgpt, built by Openai, can be the most popular generative tool for artificial intelligence that you will learn. The user can ask the Genay question (called a hint), and AI will almost instantly send the answer that he generates (thus, the “generative” part). The coolest is in Genai – if you ask him another question, he treats him as if you are talking, because he remembers not only the first question that you asked, but also how he answered. Thus, all your experience with AI is in the context of the conversation that you have.
Legal Ai Chat: Ask Questions And Get Answers
LLM is just a large set of data. In the case of ChatGPT Openai, I decided to use the entire Internet as a set of data. This creates a base for AI, which allows him to talk and predict what words will be further in the sentence, or fill out a mathematical problem. Despite the fact that this is a huge set of data for training, it was also problematic, as it turns out that not everything on the Internet is true! Who knew? There are only a few LLM, as they are very expensive, and companies such as Microsoft, Google or Amazon are usually created.
Since generative AI continues to develop, we will see that many LLM models will be “trained” on more private data sets. The training is quite simple – some geeks should look at a lot of data and decide what is “good” or “bad”, and tell the computer. But like a thousand times. Imagine that the data of your own company have their own generative model of artificial intelligence. You will see built-in HR technologies around HR-specific data. Data is a real engine behind the power of AI.
AI-MPOPOWERD Technology will help in the implementation of many things, especially the work of the administrative type and a repeated task. But this will also help in analyzing high -level data, programming, etc. The reality is that he can make an average employee who uses and uses the technology super 10x employee. AI is similar to other technological achievements in history on steroids. All other technological achievements in history eliminated certain jobs and created others. Yes, AI can capture your work if it can capture your work. This does not happen, how to turn on and off the switch. This happens slowly over time. Parts of jobs will leave the AI performing the work, and you will find a higher functional work that AI cannot do.
Work and working shift with technological achievements. Your anxiety should not be what work AI will take away from me. It should be hoped for what I can do now, I can never get to this. Before the invention of the ATM and more retail workers, there were more bank cashiers and more retail workers. People adapt.
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Yes. AI can be biased depending on the data with which he was trained, what he is asked to study, and what he is asked to conclude. People are biased? Yes, at a speed that is much exceeding everything that we can control with the help of AI. But this is the difference: I cannot control the bias of people, but I
Control, measurement and change in the displacement of AI. AI may actually be the closest that we will ever get to crazy hiring and managing effectiveness.
It depends on what AI you use to answer your questions. Generative AI, without control, is just a prediction of what should be based on the next word on what he knows from his training set. This generates something completely new, so you literally do not know what he can say until he says. The more traditional conversational AI, based on “intentions”, is trying to correspond to what the user says, and then get a pre -written response from the system. But this answers only many questions, so you will get some level “not to calculate” it. The most modern systems use the technique called “Search for the modified generation” to mix the best of both worlds – maintaining the context of the whole conversation, while receiving an approved and accurate answer.
In fact, you used AI in your daily work for most of the last decade. Do you have an iPhone or Android? Do you use it to work? Do you use Microsoft Outlook or Google Office Suite? You used AI. That is why it is funny that corporate legal teams today get the whole impression. We used AI built into our daily performance tools for ten years or more, but never questioned it! While many people use Chatgpt, Gemini and other generative tools of artificial intelligence to help them in many things, most of us will use artificial intelligence tools that will be built into systems that we already use every day for our work.
Questions To Ask Meta Ai
Come on, you know what asked about it (at least for yourself). This is the biggest fear that most people have: AI will take possession!
“At one point, I am driving along the street, and the next moment Ii takes control of my car and makes me go to the donut store and buy all the donuts!”
Yes, someone could (in fact, they did) make AI, which can drive your car for you. But no, AI cannot make you buy donuts! Like any program, even the one that is studying independently, is still related to the rules that the software programmer developed. We saw this training with the early versions of generative AI, which could be “encouraged” by a person to say racist things or believe things that were not real. AI studied like a small child. Later versions continue to correct these early errors.
Artificial general intelligence (Agi) is something that people are talking about when they say that robots will capture the world. This is when robots can actually think for themselves like people. Make your own decisions without rules. Although we can imagine AGI, science is not close to this to happen. We can assume how, but the technology for this has happened, not even started, since the human mind is too complicated for any model that we have, which is remotely close at the moment.
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Tim Sakkett, ShRM-SCP, is the general director of Hrutech.com the leading technical recruiting company. Tim has more than 20 years of experience in the field of HR management and the acquisition of talents, working in companies from the Fortune 500 list, and he has a personnel management master. Tim is a demanded international speaker in leadership, HR and Ta Tech, the acquisition of talents and execution. Tim is currently a senior teacher at the Academy of Josh Bersin.
Tim is the author of the best -selling ShRM book “The Talent Fix: the leadership of the leader in the set of great talents”. He also writes every day in his blog The Tim Sackett Project and Fistful of Talent. He also makes a weekly podcast called HR Famous. Tim is married to the wife of the Hall of Glory, has three sons, and his dogs are explored by Tucker. In 2022, it was called the main global HR manager and the HR Executive recruitment. He has more subscribers on Twitter than his sons 3 Gen Z combined, which they like to indicate (@timsackett). He is a defender of workplaces at the workplace for the diet MT. Dew Founin Machines, and he considered the world’s main expert on the workplace. Artifical intelligence is an incredibly hot technology, which means that IT teams are trying to apply AI tools to almost every problem – even those that AI do not solve well. Here are five questions that you need to ask about any project before diving
