INTRODUCTION – Applications and Tools of Generative AI
This module will be studying the many beneficial ways and the practical applications of generative AI in IT and DevOps, the entertainment industry, education, financial institutions, healthcare, and human resources.
Understand how generative AI catalyzes change in productivity and efficiency in the workplace and understand something about fundamental functionality and applications of some of the most common tools for generating text, and images. code, audio, video, or even virtual environments.
Learning Objectives
- Identify the applications of different generative AI-related domains across different sectors and industries.
- Explore common generative AI models and tools for generating text, code, images, audio, and video.
- Demonstrate the application of generative AI tools for text, image, and code generation.
1. What is the impact of generative AI on medical treatments?
- Hospital policy implementation
- Increased development costs
- Medically literate chatbots (CORRECT)
- Quicker sentiment analysis
Correct! In drug discovery, Rasa-type generative AI tools can allow the conduct of conversations with patients that are medically literate and provide instant medical advice, health support, and tailored treatment plans according to individual needs and conditions.
2. How does generative AI empower the human resource function?
- Structuring custom loans
- Auto-detecting risky behavior
- Creating job requisitions (CORRECT)
- Increasing the depth of datasets
Correct! Some functions such as those offered by IBM Watson Orchestrate, automating HR jobs and choreographing activities like creation of job requisitions, screening and shortlist of relevant profiles, scheduling interview time, and onboarding process, can be carried out by automating.
3. Which of the following generative AI tools is best for researching the latest news or information on any topic?
- Jasper
- Writesonic
- ChatGPT
- Bard (CORRECT)
Correct! Bard is probably better suited to searching for the latest news or information on a topic. This is because it enables users to reach web sources through Google Search and Google Scholar, which can therefore provide real-time updates and references.
GRADED QUIZ: APPLICATIONS AND TOOLS OF GENERATIVE AI
1. Selina is struggling to put together a presentation. She asks ChatGPT, “Can you create slides on the last remaining wildflowers in the rainforest?”
- ChatGPT will provide a step-by-step guide on saving the rainforest.
- ChatGPT will respond with some basic information on forest flowers.
- ChatGPT will start to translate your request into another language.
- ChatGPT will suggest the title, content, and visuals for slides. (CORRECT)
Correct! For instance, a creative prompt such as “Can you make slides or a slideshow about the last famous remaining wild-flower on Earth, the wildflower of the rainforest?” would inspire the chatbot to suggest the title, provide the slide’s content, and so on, besides suggesting visuals in order to create a bridge between ideas and presentations.
2. Which code generation is based on the pre-trained language model OpenAI Codex tool and can help Elizabeth generate solution-based code?
- ChatGPT
- PolyCoder
- GitHub Copilot (CORRECT)
- Amazon CodeWhisperer
Correct! GitHub Copilot is a product of OpenAI Codex-that generative pre-trained language model and helps developers to even suggest coding solutions which make it an excellent programmer productivity enhancer.
3. Bob wants to convert a painting into a photograph. Which generative AI capability will help him do this best?
- Image fusion
- Outpainting
- Style transfer (CORRECT)
- Inpainting
Correct! In addition to image styles and fusions, there is also an extraction and application of an artistic style from one image and the construction of another with its effects. That is, for instance, to change a painting to a photograph, keeping intact the content of the original image. All images must, therefore, blend the original style of one with the visual elements of another.
4. If you want precise control over style for manipulating specific features like a pose or facial expression, which tool here can help you do that best?
- StyleGAN (CORRECT)
- Stable Diffusion
- Freepik
- DALL-E
Correct! Signature of NVIDIA’s StyleGAN allows modeling of ‘image content’ separately from that of ‘image style’: exact powers of the latter allows for such accurate specification. Indeed, a potential use is alteration of certain aspects while remaining faithful to the original content of the image, such as changing the pose or facial expression of the modeled entity.
CONCLUSION – Applications and Tools of Generative AI
It has been clear throughout the module that generative AI has multifaceted applications with far-reaching implications spanning various sectors and industries. While it revolutionizes IT and DevOps, it changes entertainment, education, finance, healthcare, and even human resources, as generative AI remakes how we work and how technology interacts with us.
We will adopt it as it operates efficiently and successfully in work by understanding its capabilities and investigating any of its most worthwhile use cases. We are likely to discover more about what generative AI will let that happen in creating functions in most of our lives as we continue to explore this area and, thus, create pathways to a more innovative and interconnected future.