GPT-4 Is EPIC - Build A Tetris Game In Seconds - Better Than ChatGPT - Code Refactor - How To Use

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Welcome to the most comprehensive review of #GPT4

0:00 Introduction to GPT-4
0:16 How to use GPT-4
0:50 GPT-4 coding a fully working Tetris game
1:25 How to get longer output than GPT4 provides
2:25 Colored advanced Tetris game made by GPT4
2:49 Asking GPT4 what is text to image Stable Diffusion
3:09 GPT4 explains like I am 5
3:16 When was GPT-4 trained how much does it know? How up-to-date GPT4 is
3:27 Automatic tokenization of given text by GPT-4
4:02 Write a unique specialized love poem to your wife via GPT-4
4:23 GPT4 coding a flock of birds simulation HTML 5 app
4:38 How to make GPT4 to produce much longer output
5:42 GPT-4 fails to solve a real life programming problem
6:12 GPT4 can write excellent bash scripts
6:31 GPT-4 excels at text translation
6:52 Ask GPT4 to learn more about technical concepts
7:04 GPT-4 can write excellent .NET Core C# code, methods, functions
7:40 GPT4 can refactor code at level of senior developers
8:08 GPT-4 can save your money by providing you Law related templates
8:57 GPT4 can generate a powerpoint presentation from given document in seconds
9:30 The full version of GPT-4 will be much more powerful
9:50 GPT-4 will support visual / image input as well
10:04 GPT4 provides an amazing answer to given image input and question
10:19 GPT-4 can even generate SVG code to generate images based on your prompt

Unraveling the Mysteries of GPT-3.5 and ChatGPT: A Comprehensive Guide to Features, Tricks, and Usage

Introduction

In the rapidly evolving world of artificial intelligence, OpenAI's GPT series has consistently broken new ground. The latest iteration, GPT-3.5, is no exception, boasting impressive capabilities that have given rise to the ChatGPT application. In this article, we will delve into the features, tricks, and best practices for leveraging GPT-3.5 and ChatGPT to their fullest potential.

I. GPT-3.5: An Overview

GPT-3.5, the latest generative pre-trained transformer model, harnesses the power of unsupervised learning to understand and generate human-like text. Building upon the success of GPT-3, GPT-3.5 offers improved performance, functionality, and efficiency. Some notable improvements include:

Enhanced language understanding: GPT-3.5 boasts a better grasp of natural language, enabling more coherent and contextually accurate responses.
Larger knowledge base: GPT-3.5 integrates information up until September 2021, providing users with up-to-date and relevant data.
Improved efficiency: GPT-3.5 demonstrates reduced latency and higher throughput, enhancing user experience and utility.
II. ChatGPT: GPT-3.5 in Action

ChatGPT is a practical application of GPT-3.5 designed to facilitate interactive and dynamic conversations. It has been widely adopted in areas such as content generation, customer support, tutoring, translation, and more. #ChatGPT can be accessed through the #OpenAI API or used in various applications via the ChatGPT API.

III. Features and Tricks

A. System Instruction

To harness the full potential of GPT-3.5 and ChatGPT, it is essential to understand how to instruct the system effectively. Here are some tips:

B. InstructGPT

InstructGPT is an additional feature within ChatGPT that enables users to provide specific instructions to the model. This can be helpful for tasks that require more explicit guidance or complex information extraction.

To control the randomness and creativity of generated text, users can adjust the "temperature" and "top-k" settings:

Temperature: Higher values (e.g., 0.8) result in more creative responses, while lower values (e.g., 0.2) yield more focused and deterministic outputs.
Top-k: This parameter controls the number of tokens considered during text generation. Lower values produce more focused responses, while higher values may introduce more diversity.

GPT-3.5 has a token limit of 4096 tokens. When engaging in a conversation, both input and output tokens count towards this limit. Be mindful of token usage to avoid truncation or incomplete responses.

V. Conclusion

GPT-3.5 and ChatGPT offer a wealth of opportunities for businesses, developers, and individuals looking to leverage AI-powered language understanding and generation. By understanding their features, tricks, and best practices, users can effectively harness the capabilities of these cutting-edge tools.

[SECourses]

Please join discord, mention me and ask me any questions. Thank you for like, subscribe, share and Patreon support. I am open to private consulting with Patreon subscription

[kadirdurmaz]

The best teacher you can get knowledge from YouTube and also from any university :) Thanks a lot sir! ❤

[GregMatoga]

This channel feels so refreshing after the onslaught of the AI fearmongering, clickbaity sludge that is being increasingly produced right now. Down to earth, no filler content, practical approach by a guide in, what is shaping out to be, a non ironically disrupting tech. Thanks!

[mohamadjarad]

I just wanted to let you know how much I've been enjoying your content

Your videos are always so well-made and informative, and it's clear that you put a lot of time and effort into each one. Keep up the great work, and I can't wait to see what you come up with next

[danilo_]

I paid 20 dollars just to play with new gpt 4 😅 it's amazing how AI improved in few years

[unalkaynar]

best helpful video i've ever seen
Thanks

[stephenirving]

I would love to see more video game making examples. Like combine a game built in unity and the replace the assets with stuff from stable diffusion

[pastuh]

Last time gpt could not provide correct answer for Unity game rotations.. So obvious you must know basics

[iseahosbourne]

Completely unrelated but i just wanted to ask here. just wanted to double check. My GPU is a 3070ti 8GB Vram. Would you only recommend lora for gpu? OR? is it not worth it and should i just use dreambooth with runpod?

Im trying to create a style and a model, by splicing them together. With the goal of creating an animation with the same process as corridor digital, so im not to sure of the limitations.

Also what do you recommend out of the 3? Dreambooth runpod. Watered down dreambooth (Webui with my low vram settings of 8gb). Lora (Webui version). Or lora and dream (Through kohya ss)?

[christophemortier]

Basically it's reading the code of an existing Tetris. I call this copyright infringements. Be sure to ask GPT 4 the creator of the code to pay him properly.