ChatGPT

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• ChatGPT | OpenAI
  • Use ChatGPT here
• Case Studies
  • Writing
  • Publishing
• Elements:
  • Reinforcement Learning (RL) from Human Feedback (RLHF)
  • Generative Pre-trained Transformer (GPT)
  • Attention Mechanism/Transformer Model
  • Supervised Learning
  • Proximal Policy Optimization (PPO)
• 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
• Cheaters beware: ChatGPT maker releases AI detection tool | Matt O'Brien and Jocelyn Gecker -AP Newswire ... Now there is a growing realization that “this is the future” and blocking it is not the solution

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.

ChatGPT Tutorial for Developers - 38 Ways to 10x Your Productivity Learn how to use ChatGPT to 10x your productivity! 38 examples using Python, JavaScript, HTML, CSS, React, SQL and more!

I challenged ChatGPT to code and hack (Are we doomed?) Are we doomed? Will AI like ChatGPT replace us? I put it to the test and challenged it to write C code, Python hacking scripts, Rubber Ducky scripts, configure Cisco networks and more. // MENU // 00:00 - Intro 00:30 - Testing ChatGPT // The new AI chatbot 02:27 - Is ChatGPT SkyNet? 04:18 - C programming code 08:34 - Python SSH brute force script 13:51 - Rubber Ducky scripts (Windows 11) 15:57 - Rubber Ducky scripts on Android 17:05 - Nmap scans 19:12 - Cisco configs - Switches and BGP 24:29 - Conclusion // Learn AI

But How Does ChatGPT Actually Work? You’ll learn how ChatGPT works and this will provide many benefits, such as helping you to use the model more effectively, evaluate its outputs more critically, and staying informed about the latest developments in the field so you are better prepared to take advantage of new opportunities. ChatGPT is a type of Natural Language Processing (NLP) known as a Generative Pre-trained Transformer (GPT) developed by OpenAI. These are the two big terms we will focus on in this video. On top of that you will also get a base understanding of common Machine Learning techniques like Supervised Learning, and Reinforcement Learning (RL), which were used to make ChatGPT as good as it is.

ChatGPT Clone – OpenAI API and React Tutorial Learn how to use React and the OpenAI API to create an application like ChatGPT. The application can answer our questions, convert the text into different languages, or even convert Javascript code to Python.

Analysing Data with ChatGPT (Data Analysis and ML ) In this tutorial we will see how to analyse a given dataset using ChatGPT. Code:https://github.com/jcharis Blog:https://blog.jcharistech.com

ChatGPT Tutorial - Use ChatGPT for DevOps tasks to 10x Your Productivity 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 01:39 - What is ChatGPT, Who developed ChatGPT 06:45 - Sign Up on ChatGPT 09:23 - Create Dockerfile for Node.js app using ChatGPT 22:13 - Create Kubernetes manifest file using ChatGPT 35:06 - Create CI/CD pipeline code using ChatGPT 50:06 - Convert Jenkinsfile into GitLab CI config file 53:53 - Tools built on top of OpenAI's API 55:01 - AIaC demo - CLI tool for DevOps 01:01:00 - My opinion on ChatGPT & whether ChatGPT will replace engineers