Difference between revisions of "ChatGPT"
m |
m |
||
| Line 92: | Line 92: | ||
</b><br>I'm sure you have all heard of ChatGPT by now. It has become a buzzword within days of its release and professionals in all fields, especially in high skilled areas like lawyers, doctors, engineers are questioning whether such AI can actually replace them and work. So in this video I want to talk about what ChatGPT is and how it even popped up, talk a bit about the organization behind GPT called "[[OpenAI]]", which has already created many other machine learning models besides Chat GPT and also explain technically about all that. And then we'll dive in and actually put ChatGPT to use for some DevOps related tasks. I really want to see how it can help in generating configuration code for building DevOps processes or different parts of those processes and how well it knows different DevOps technologies, but not just some shallow examples or boilerplate code that I can get from official documentation, but instead also try more fine-tuning and small optimizations in that configuration code. We're also going to check out an open source command line tool that is built on top of ChatGPT and was specifically created for engineers to generate infrastructure as code templates and more and finally we'll talk about the impact of ChatGPT, the quality and usefulness of such a tool for engineers and whether it will really replace the engineers and to what extent you should be concerned. | </b><br>I'm sure you have all heard of ChatGPT by now. It has become a buzzword within days of its release and professionals in all fields, especially in high skilled areas like lawyers, doctors, engineers are questioning whether such AI can actually replace them and work. So in this video I want to talk about what ChatGPT is and how it even popped up, talk a bit about the organization behind GPT called "[[OpenAI]]", which has already created many other machine learning models besides Chat GPT and also explain technically about all that. And then we'll dive in and actually put ChatGPT to use for some DevOps related tasks. I really want to see how it can help in generating configuration code for building DevOps processes or different parts of those processes and how well it knows different DevOps technologies, but not just some shallow examples or boilerplate code that I can get from official documentation, but instead also try more fine-tuning and small optimizations in that configuration code. We're also going to check out an open source command line tool that is built on top of ChatGPT and was specifically created for engineers to generate infrastructure as code templates and more and finally we'll talk about the impact of ChatGPT, the quality and usefulness of such a tool for engineers and whether it will really replace the engineers and to what extent you should be concerned. | ||
| − | 00:00 - Intro and Overview | + | * 00:00 - Intro and Overview |
| − | 01:39 - What is ChatGPT, Who developed ChatGPT | + | * 01:39 - What is ChatGPT, Who developed ChatGPT |
| − | 06:45 - Sign Up on ChatGPT | + | * 06:45 - Sign Up on ChatGPT |
| − | 09:23 - Create Dockerfile for Node.js app using ChatGPT | + | * 09:23 - Create Dockerfile for Node.js app using ChatGPT |
| − | 22:13 - Create Kubernetes manifest file using ChatGPT | + | * 22:13 - Create Kubernetes manifest file using ChatGPT |
| − | 35:06 - Create CI/CD pipeline code using ChatGPT | + | * 35:06 - Create CI/CD pipeline code using ChatGPT |
| − | 50:06 - Convert Jenkinsfile into GitLab CI config file | + | * 50:06 - Convert Jenkinsfile into GitLab CI config file |
| − | 53:53 - Tools built on top of OpenAI's API | + | * 53:53 - Tools built on top of OpenAI's API |
| − | 55:01 - AIaC demo - CLI tool for DevOps | + | * 55:01 - AIaC demo - CLI tool for DevOps |
| − | 01:01:00 - My opinion on ChatGPT & whether ChatGPT will replace engineers | + | * 01:01:00 - My opinion on ChatGPT & whether ChatGPT will replace engineers |
|} | |} | ||
|}<!-- B --> | |}<!-- B --> | ||
Revision as of 13:24, 29 January 2023
YouTube search... ...Google search
- ChatGPT | OpenAI
- Case Studies
- Elements:
- Text Transfer Learning
- Natural Language Generation (NLG)
- Natural Language Tools & Services
- Bidirectional Encoder Representations from Transformers (BERT) ... a better model, but less investment than the larger OpenAI organization
- Cybersecurity
- The Crown Jewel Behind ChatGPT: Reinforcement Learning (RL) from Human Feedback (RLHF) | Jesus Rodriguez - Medium
- OpenAI invites everyone to test ChatGPT, a new AI-powered chatbot—with amusing results | Benj Edwards - ARS Technica ... ChatGPT aims to produce accurate and harmless talk—but it's a work in progress.
- How to use ChatGPT for language generation in Python in 2023? | John Williams - Its ChatGPT ... Examples ... How to earn money
Generates human-like text, making ChatGPT performs a wide range of natural language processing (NLP) tasks; chatbots, automated writing, language translation, text summarization and generate computer programs. OpenAI states ChatGPT is a significant iterative step in the direction of providing a safe AI model for everyone. ChatGPT interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer follow-up questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests. ChatGPT is a sibling model to InstructGPT, which is trained to follow an instruction in a prompt and provide a detailed response.
|
|
|
|
|
|
