Will, AI kills Developer's jobs?

Author: neptune | 04th-Apr-2023
#Python #Machine learning #AI #GPT

AI is capable of code in any language without the developer's bits of help. It was said that in 2017, "AI writes code by 2040?"




OpenAI's GPT-3, is now available in beta version for testers and is capable of code in almost any language. 

GPT-3 can code in CSS, JSX, and Python. It was trained on billions of lines and words.




What is GPT?

Generative Pre-trained Transformer (GPT) is an autoregressive language model that uses deep learning to produce human-like text.

Evolution of GPT-n

GPT

Initially, GPT trained on a few thousand books and 8 GPU machines. It was an initial tiny version trained by pairing supervised learning with unsupervised pre-training.




GPT-2

It was the scaled version of GPT with 10X more training data and parameters. Still, data is limited and mostly contains the links from Reddit. It was described as "Chameleon-like" which is a synthetic text generator. It does not perform tasks like translation answering and summarization.




GPT-3

It is the latest version in the AI world, It is 116x higher in size than its previous versions. It is drastically scaled up in terms of size and training reaching about 175 billion parameters.




Beta testers use GPT-3 to create buttons, tags, data tables, or homepages using basic knowledge of coding. With the rapid development of AI, the developer's jobs won’t be in a safe zone in the future: No-code and AutoML will do that.





Other Examples:

No-code refers to visual tools that build new products, websites, data analysis, and development. 

Tools like WordPress, Wix, and Shopify are examples of no-code which helps millions of people to build on their own rather than hire designers or developers.




AutoML

AutoML or automated machine learning is the second tool, which drastically shortens the time for bringing AI into production or development.

In Coming future

GPT-3 will add a spark wave of no-code and AutoML tools. Many employers or businesses will opt for these tools instead of hiring expensive programmers or developers.




Naturally, the lowest-skilled developers or programmers will be the first to go, while experts will enjoy job security for longer.

Only 12% of people correctly recognized the text generated by AI 88% were fooled these results are incredible.




Conclusion

GPT-3’s performance has convinced us that Artificial intelligence is closer or at least AI-generated code is closer than we think. It generates imaginative, insightful, deep, and even excellent content.


Thanks for Reading !!!





Related Blogs
How to extract Speech from Video using Python?
Author: neptune | 16th-Jun-2023
#Python #Projects
Simple and easy way to convert video into audio then text using Google Speech Recognition API...

PaLM 2: Google's Multilingual, Reasoning, and Coding Model
Author: neptune | 13th-May-2023
#Machine learning #AI #Google
Google introduces PaLM 2, a highly versatile language model with improved multilingual, reasoning, and coding capabilities powering over 25 Google products and features...

How to download video from youtube using python module ?
Author: neptune | 15th-Jun-2023
#Python
We will let you know how you can easily download the Youtube high quality videos along with subtitle, thumbnail, description using python package..

Comparing Chat GPT and Google Bard: Differences and Applications
Author: neptune | 17th-Jun-2023
#Machine learning #AI #Google #GPT
Chat GPT and Google Bard are two of the most popular language models that have been developed in recent years. Both of these models are designed to generate human-like responses to text-based inputs...

7 Open Source Models From OpenAI
Author: neptune | 11th-May-2023
#Machine learning #AI
Elon Musk criticized OpenAI for becoming a closed source, profit-driven company. Despite this, OpenAI has released seven open source models, including CLIP and Dall-E...

The Godfather of AI Sounds the Alarm: Why Geoffrey Hinton Quit Google?
Author: neptune | 09th-May-2023
#Machine learning #AI
Geoffrey Hinton, the Godfather of AI, has quit Google and warned of the danger of AI, particularly the next generation AI language model, GPT-4...

Deploy Django project on AWS with Apache2 and mod_wsgi module.
Author: neptune | 18th-May-2024
#Python #Django
In this blog I use the AWS Ubuntu 18.22 instance as Hosting platform and used Apache2 server with mod_wsgi for configurations. We create a django sample project then configure server...

Generative AI Made Easy: Explore Top 7 AWS Courses
Author: neptune | 05th-Aug-2023
#AI #AWS #Certifications
These top 7 Generative AI courses by AWS offer a pathway to explore and master the fascinating world of Generative AI...

Best Python package manager and package for virtual environment ?
Author: neptune | 18th-Jun-2023
#Python #Pip
We will explore the options of Pip, Virtualenv, Anaconda, and also introduce Pyenv as a helpful tool...

Google Bard: A Chatbot That Generates Poetry
Author: neptune | 26th-Mar-2023
#Machine learning #AI #Google
Google has recently launched a new AI tool called Google Bard, which is a chatbot that can generate poetry. The chatbot is available to anyone with an internet connection, and it is free to use...

Mostly asked Python Interview Questions - 2023.
Author: neptune | 30th-May-2023
#Python #Interview
Python interview questions for freshers. These questions asked in 2022 Python interviews...

Core Python Syllabus for Interviews
Author: neptune | 26th-Jul-2023
#Python #Interview
STRING MANIPULATION : Introduction to Python String, Accessing Individual Elements, String Operators, String Slices, String Functions and Methods...

Python Built-in functions lambda, map, filter, reduce.
Author: neptune | 15th-Jun-2023
#Python
We are going to explore in deep some important Python build-in functions lambda, map, filter and reduce with examples...

How to reverse string in Python ?
Author: neptune | 16th-May-2022
#Python
We are going to explore different ways to reverse string in Python...

Python 3.9 new amazing features ?
Author: neptune | 26th-Jul-2023
#Python
Python 3.9 introduces new features such as dictionary union, string methods to remove prefixes and suffixes, type hinting, and speed improvements for built-in functions...

Jobs at major risk due to GPT! Yours?
Author: neptune | 07th-Apr-2023
#Jobs #GPT
The use of GPT has the potential to replace human labor in industries such as poetry, web design, mathematics, tax preparation, blockchain, translation, and writing...

10 Essential Human Abilities: Cannot Replaced by AI
Author: neptune | 01st-Apr-2023
#AI
AI has made remarkable progress in recent years, there are certain essential human abilities that it cannot replace. Empathy, creativity, morality, critical thinking, intuition...

10 Proven Ways to Earn Money Through Python
Author: neptune | 11th-Apr-2023
#Python
Python offers numerous earning opportunities from web development to teaching, data analysis, machine learning, automation, web scraping, and more...

5 Languages that Replace Python with Proof
Author: neptune | 13th-Apr-2023
#Python
Julia, Rust, Go, Kotlin, and TypeScript are modern languages that could replace Python for specific use cases...

Monkey Patching in Python: A Powerful Yet Controversial Technique
Author: neptune | 01st-Aug-2023
#Python
Monkey patching in Python is a dynamic technique to modify code at runtime. It can add/alter behavior, but use it judiciously to avoid maintainability issues...

Top 5 use cases of ChatGPT in programming
Author: neptune | 04th-Apr-2023
#AI #GPT
ChatGPT helps programmers optimize code, generate dummy data, algorithms, translate code, and format data, saving time and effort...

Building a Simple Chatbot with Python and openpyxl
Author: neptune | 25th-Jun-2024
#Python #Projects
This chatbot reads questions and answers from an Excel file and provides responses based on user input...

The Future of AI: Effective Prompt Engineering
Author: neptune | 07th-Apr-2023
#AI #Jobs
Prompt engineering is the art of crafting effective instructions for AI models, crucial for ensuring quality, accuracy, and ethical use of AI-generated output...

Best Practices for Managing Requests Library Sessions When Interacting with Multiple APIs ?
Author: neptune | 22nd-Aug-2024
#Python
When working with Python's `requests` library, managing sessions is crucial, especially when your application interacts with multiple APIs...

How to Ensure Proper Namespace Handling in XML with Python's lxml Library
Author: neptune | 01st-Jul-2024
#Python
By using `lxml`, you can effectively manage XML namespaces and ensure that your XML structure remains intact during updates...

How to Update XML Files in Python?
Author: neptune | 01st-Jul-2024
#Python
Handling XML files in Python is straightforward with the `xml.etree.ElementTree` module...

Common Machine Learning Algorithms Used in the Finance Industry
Author: neptune | 23rd-Dec-2024
#AI #ML
The finance industry has embraced machine learning (ML) to solve complex problems and uncover patterns within vast datasets...

Liquid AI: Redesigning the Neural Network Landscape
Author: neptune | 26th-Oct-2024
#Machine learning #AI
As AI continues to evolve, Liquid AI, an MIT spinoff, is reimagining neural networks with its innovative approach, liquid neural networks...

Roadmap for AI Engineers: 10 Easy Steps to Become an AI Engineer
Author: neptune | 22nd-Oct-2024
#Machine learning #AI
AI is transforming industries worldwide, & the demand for AI engineers has surged as companies look to incorporate ML and data-driven decisions into their operations...

AI in Agriculture: Transforming Farming with Cutting-Edge Technology
Author: neptune | 04th-Jul-2024
#AI
AI is poised to revolutionize agriculture by making farming more efficient, sustainable, and productive...

View More