We know that the world is moving at an impeccably rapid pace as we have now taken a step ahead of AI and are using generative AI. Since generative AI or gen AI is a relatively new term, people still have doubts about what it is, what its uses are, and whether it will affect them in any way or not. In this blog, we are going to take you on a learning journey around what is generative AI and its applications, tools, and models.
If you are interested in making a career with this transformative technology, then a generative AI course will be the best fit for you. Good guidance can help you go a long way in this field.
Generative AI, simply put, is an algorithm or a model that has the capability to create brand-new results every time. Depending upon the gen AI tool, the result can be an image, code, video, text, or data.
The sole purpose of generative AI is creating content. Other forms of AI might have had the purpose of analyzing data, solving a query, or helping drive a self-driving car. But in the case of gen AI, it is all about creating a unique output every single time.
There are a plethora of tools ruling the market right now. While ChatGPT is a name you have probably heard about, there are various others taking the world by storm. Let us take a look at the most popular generative AI tools today.
While generative AI is still a confusing space for many people, it can still be used in our everyday life. Let us take a look at some of the most popular generative AI tools today before giving you an answer to "how does generative AI tools work".
Scribe is a widely preferred AI writing assistant that is revolutionizing content creation. The user can skillfully summarize articles, get assistance in academic writing, and craft reports. It is a good fit for students, professionals, and journalists.
The most well-known and widely used AI chatbot today is ChatGPT. This general-purpose AI assistant is extremely simple to use. The user writes a query or a prompt and will get a textual response. It is being extensively used for creating written content like stories, emails, codes, articles, lists, and even poems.
AlphaCoding is revolutionizing the way coding is being done. Whether it is about writing code, suggesting optimal programming solutions, or bug resolution, this one gen AI tool offers it all.
Google Bard is an AI assistant and conversational chatbot built on PaLM2 LLM. The user has to simply enter a query through text or voice and be prepared to be responded with text, picture, or even a video. Since this is a Google tool, the content is drawn from Google Search.
DALL-E 2, released by OpenAI in 2021, is a popular image generation tool. The user only needs to enter textual prompts and get an image in return. The finer and more detailed the prompt is, the closer will be the image to what you have imagined.
If you too are wondering how generative AI tools work, then let's unsolve the puzzle for you.
Gen AI tools work by employing various advanced-level machine learning techniques. The deep learning models used in most cases include Variational AutoEncoders (VAEs) and Generative Adversarial Networks (GANs). These models have the ability to create new instances as these are previously trained on humongous datasets that help them understand underlying patterns and structures.
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Gen AI has the potential to become household-used technology in the coming years. In fact, even if you look around today, it is being used for personal uses almost as much as it is being used professionally. Here are the top generative AI applications that we will witness in the coming years-
Gen AI has the potential to be extensively used for generating new content for music, TV shows, movies, etc. All this will happen at a much faster rate than carry-able by a human.
Creative material and ad copies will be produced at a much faster rate than today with the right use of Gen AI. Marketing professionals will also learn better ad placement as per the target audience and even change the way this content is consumed.
Education will be one of the most impacted industries in a positive way. The entire scenario around how the teachers teach and how the students learn will take a complete three sixty degree turn. With better access to education and more personalized learning, the role of the teachers will change and lead to increased efficiency.
The finance sector will heavily benefit from the right use of Generative AI. This benefit will be seen on both personal and professional fronts.
Healthcare will witness a significant turn as patients will get personalized treatment plans, better access to healthcare, and improved prediction and diagnosis.
Generative AI Models are designed in such a manner that they learn from the gigantic datasets previously suggested to tem and then generate new content resembling it. These models are much more than a simple prediction or classification task. Here are the main types of Gen AI models -
Variational AutoEncoders are generative models that employ the encoder-decoder architecture to register input data into a dormant space. It is later restructured back to the original data domain. It is highly used in various areas including anomaly detection, data compression, and image generation.
Generative Adversarial Networks are made up of two components called generator network and discriminator network. Both these work together in an adversarial manner wherein the former's goal is to generate realistic samples and the latter's goal is to segregate between real and generated samples.
These models create new samples as they model the conditional probability of every single data point set on the preceding context. Ultimately they generate complex sequences. Auto-regressive models are mostly used in language modeling, music composition, and text generation.
Flow-based models employ normalizing flows, which is a sequence of invertible transformations for modeling complex data distributions. It is heavily used in density estimation, anomaly detection, and image generation.
Transformer-based model is a kind of DL architecture that has become popular in NLP (natural language processing) tasks. These are mostly used in transformer-based language models that are also called GPT (GenerativePre-Trained Transformer).
There is a long list of things associated with Gen AI, what it is, what are its types, models, applications, and whatnot. Since we are only beginning to uncover the true meaning and potential of Generative AI, we are yet to completely understand what it can do.
While there is still a lot of stigma around its usage, there will come a time where it will be a part of everything. When we already have this knowledge, why not make the most of it? Enroll in a good Generative AI training program to understand what it is all about.
Ans. There are quite a lot of differences between generative AI and normal AI. Generative AI or Gen AI focuses on creating new data and content whereas traditional AI uses the predefined rules for solving specific tasks.
Ans. ChatGPT has become so famous because it understands human-like text. Thus, simple prompts can yield big results in generating content, engaging in conversations, offering explanations, and answering questions.
Ans. Generative AI is a great thing to learn and work with as it offers many free and user-friendly tools such as ChatGPT, Quillbot, Jasper, etc.
Ans. The most appropriate way to learn gen AI is by enrolling in our generative AI training online. Since our trainers are working professionals, they have updated information, knowledge, and skills to help you become an expert in this technology.
Course Schedule
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