The title of the post is a quote from Jensen Huang, CEO of NVIDIA.ย Couldn't agree more. And a sentiment shared by many fellow analysts.
With over two decades coding and executing data science and analytics projects, GPTs have significantly increased my efficiency. Particularly in code generation, allowing me to focus more on output quality and deployments.
๐๐ฃ๐ง ๐ ๐๐๐๐ย
๐๐ผ๐ฑ๐ถ๐ป๐ด: Best done by AI. Just can't beat the quality and the speed. Ginormous time savings
๐ฃ๐ฅ๐๐๐ง๐๐๐๐ ๐๐ข๐ก๐ฆ๐๐๐๐ฅ๐๐ง๐๐ข๐ก๐ฆ
โช ๐๐บ๐ฝ๐ฎ๐ฐ๐: A beautiful code by itself doesn't create any impact. It's part of a bigger pipeline.
โช ๐๐ฟ๐ถ๐ป๐ฑ ๐ฆ๐๐ถ๐น๐น ๐๐ ๐ถ๐๐๐: e.g. API stuff was new to me (FastAPI, GET/POST, transfers). Understanding took time... and then coding was a breeze as I knew exactly what to ask of GPTs
โช ๐๐'๐ ๐ป๐ผ๐ ๐ถ๐ป๐๐๐ฎ๐ป๐ ๐ฐ๐ผ๐ณ๐ณ๐ฒ๐ฒ: We still need to iterate, check outputs, modify code, debug... until it works. No change there. GPTs do make it faster.
โช ๐๐ผ๐บ๐ฎ๐ถ๐ป ๐๐ ๐ฝ๐ฒ๐ฟ๐๐ถ๐๐ฒ ๐ ๐ฎ๐๐๐ฒ๐ฟ๐: e.g. never worked on healthcare analytics. No amount of GPT code would make me an expert quickly
โช ๐๐ฎ๐ป๐ด๐๐ฎ๐ด๐ฒ ๐๐ป๐ฑ๐ฒ๐ฟ๐๐๐ฎ๐ป๐ฑ๐ถ๐ป๐ด ๐บ๐ฎ๐๐๐ฒ๐ฟ๐: Things go very fast with Python. But, React-Node.js web app? I realized quickly that just dumping codes that I don't understand doesn't work well. Though GPTs do speed up learning.
โช ๐๐ฃ๐ง๐ ๐บ๐ฎ๐ธ๐ฒ ๐บ๐ถ๐๐๐ฎ๐ธ๐ฒ๐ and get stuck sometimes, needing "hooman" help (identifying issues, sharing docs/code samples).
โช ๐๐ผ๐ฑ๐ฒ ๐ฝ๐ฟ๐ถ๐๐ฎ๐ฐ๐ a likely challenge, but solutions are in development.
โช ๐ง๐ต๐ฒ๐ ๐ฐ๐ฎ๐ป'๐ ๐ฑ๐ผ ๐ฒ๐๐ฒ๐ฟ๐๐๐ต๐ถ๐ป๐ด. For instance, deployments (yet. I think..)
With Devin and other full-stack bots coming up, this might all change soon. Eagerly awaiting.
๐๐ข๐๐๐ก๐ ๐๐ฌ ๐๐ฃ๐ง: ๐๐ซ๐๐ ๐ฃ๐๐๐ฆ
Tools I've built using GPT (links in the comments). While small in scale, these tools have helped me understand GPT's application in coding, particularly in areas like LLM apps, APIs, and deployments.
๐ฌ๐๐๐ก ๐๐ผ๐๐: Data transfers via FastAPI endpoints / Flowise AI Platform. Demonstrate GPT's potential for building data pipelines,ย as well as LLM app deployment within and outside GPT Store.ย
๐๐น๐ฎ๐บ๐ฎ ๐ฃ๐ฎ๐ฟ๐๐ฒ๐ฟ ๐ช๐ถ๐ฑ๐ด๐ฒ๐: File processing & transfers via API for LLM apps
๐๐๐ถ๐น๐ฑ๐ถ๐ป๐ด ๐ ๐ ๐ ๐ผ๐ฑ๐ฒ๐น๐ ๐๐ถ๐๐ต ๐๐ต๐ฎ๐๐๐ฃ๐ง: Demonstrates GPT4โs ability to generate ML code, as well run ML models based on prompts
๐ ๐๐๐๐ฎ๐น ๐๐๐ป๐ฑ๐ ๐๐น๐น๐ผ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐๐ป๐ฎ๐น๐๐๐ฒ๐ฟ (๐๐ฃ๐ง): Automation and data manipulation across multiple Excel files.
All coding by ChatGPT3.5, ChatGPT4, and Gemini ~equally. End-to-end time exponentially quicker than what I could have done alone. Free GPTs are also exceptional.
Sam Altman, "AI could boost programmers' productivity by 30X. Totally agree.