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Nov 6, 2024 · How can generative AI be used to augment or enhance human creativity? While the hallucination of AI models could produce faulty outputs, these generative models are helpful in many terms and uses. They can be used as a creative inspiration to the experts in various fields: Art and design: Providing inspiration in art and design.
Nov 8, 2024 · In this article, we have seen different interview questions on generative AI that can be asked in an interview. Generative AI now spans a lot of industries, from healthcare to entertainment to personal recommendations. With a good understanding of the fundamentals and a strong portfolio, you can extract the full potential of generative AI models.
Aug 20, 2024 · Generative AI is at the forefront of technological innovation, transforming industries and redefining possibilities. As we move into 2024, mastering key terms in generative AI will be crucial for anyone involved in AI development, research, or application. This article explores the Top 8 Generative AI Terms that are essential to understand in 2024.
Basic Prompt Engineering Generative AI Questions. RAG Interview Questions and Answers. Generative AI Interview Questions for Freshers. Here are some interview questions on Generative AI and respective answers to help freshers understand the basics of Gen AI and confidently tackle their first round of GenAI interviews. 1.
- Generative Ai in Requirements Analysis
- Generative Ai in Coding
- Generative Ai in Testing
- Best Practices For Software Development with Generative Ai
Without clear requirements, the software development process cannot start. Generative AI applications in requirements analysis include:
3- Code generation
Writing code with generative AI is possible through a technique known as neural code generation. This involves training a neural network on a large dataset of computer code examplesand then using the fine tuned network to generate code that is similar in structure and function to the examples it has been trained on. Figure 1. Generating a simple Python script with OpenAI’s ChatGPT1
4- Code completion
One of the most straightforward uses of generative AI for coding is to suggest code completions as developers type. This can save time and reduce errors, especially for repetitive or tedious tasks.
5- Code review
Generative artificial intelligence can also be used to make the quality checks of the existing code and optimize it either by code suggestions and improvements or by generating alternative implementations that are more efficient or easier to read. Figure 2. The mechanism of Amazon’s CodeWhisperer for reviewing code Source: Amazon
Testing is critical in software and generative AI can support testing in a similar way to its support for software coding. Generative AI applications in test automationand testing include: 1. Generating test cases 2. Generating test code 3. Test script maintenance 4. Test data generation 5. Test documentation 6. Test result analysis
1- Address Intellectual Property (IP) concerns
For IP of code generated by LLMs to be deployed in a commercial software, these are the minimum requirements from a generative AI IPperspective: 1. Its codebase needs to be licensed to the end user (potentially via the developer of the LLM). There is an ongoing lawsuit about the use open source code in Github’s Copilot.
2- Ensure data security of code
Enterprises have already leaked valuable source data while using generative AI applications.5 Ensuring security of source code is critical.
3- Follow software development best practices
Like humans, software makes mistakes. Software engineering discipline has produced hundreds of paradigms like pair programming to improve the quality and effectiveness of software. They can help minimize the downsides of generative-AI-powered software development. For more, check out AIMultiple’s guidelines for enterprise generative AI models. Coding is one of many generative AIapplications. For applications in other industries and business functions, check out: 1. Education 2. Fashion 3. Ban...
Oct 28, 2024 · Can mock interviews improve my performance on coding assessments for generative AI roles? Absolutely. Mock interviews often include coding challenges, allowing you to practice implementing generative AI algorithms, which improves both technical fluency and time management.
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Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation. Topics roadmap interview-questions interview-preparation interview-preparation-resources large-language-models llm generative-ai genai genai-usecase genai-chatbot generative-ai-samples generative-ai-projects
