A New Era with AI
Artificial Intelligence (AI) has become an essential tool for programmers and researchers today. Particularly, by leveraging large language models (LLM), productivity in research and personal projects has seen a significant boost. The statement that “code writing speed has increased by at least 50%” is not just marketing; it’s a reality many developers have experienced.
LLM Leading the New Productivity Leap
Reflecting on the past year with LLM, one can clearly see the significant improvement in work efficiency. Whether building new web applications or optimizing dozens of programs, AI’s assistance has sped up these processes. LLM shortens the learning curve for writing code or using complex frameworks for the first time.
One developer conducted a project where LLM was used to build an entire web application from scratch. Throughout this process, they gradually advanced by asking the GPT-4 model about the structure and features of the application. This conversation spanned 30,000 words, fully utilizing the capabilities of LLM.
LLM as a Helper for New Technologies and Frameworks
In the past, mastering new technologies required a significant investment of time. But now, using LLM, one can quickly and easily learn the latest frameworks or tools such as Docker, React, and Flexbox. A researcher’s experience of setting up an environment with Docker and streamlining tasks through LLM clearly illustrates this point.
The Value of LLM: More Than Just a Productivity Tool
LLM automates tedious tasks, simplifies code, and is a great help in starting new projects. The numerous tasks processed through LLM carry value far beyond mere productivity boosts. This is also evident in experiences where LLM has aided in writing initial experimental code for research papers or debugging error messages.
Conclusion: Now Is the Time to Leverage LLM
Developers and researchers who have used LLM all agree: “It’s unimaginable to work without LLM now.” Although today’s LLM is not perfect, it already offers incredible levels of assistance. If you haven’t yet embraced LLM, now is the time to seize the opportunity. Experience the potential that comes with writing code using LLM.
Reference: Nicholas Carlini, “How I Use ‘AI'”