Bestseller chatGPT COURSE | OpenAI, GPT, ChatGPT and DALL-E Masterclass Discount
.jpeg "Requirements Beginner and Intermediate level: None Advanced level content: Programming skills in any language Description Welcome to the Masterclass for GPT, DALL-E and ChatGPT. Ever since OpenAI arrived on the scene, access to a trained AI has become accessible to everyone. GPT allows you to ask a chatbot to complete tasks, and to answer questions Fine-tuning allows you to change the way the AI responds Embedding allows you to use your own knowledge base Dall-E allows you to generate images from text In this course, you will learn very practical skills for using GPT. The skills can be used in the OpenAI playground or in programming code. The course is split into 6 major parts: Introduction and Prompt Engineering Writing code and calling the API Dall-E and Codex Fine-tuning Embedding Writing and managing Chatbots PART 1: Introduction and Prompt Engineering In this section, you will learn how to get started with GPT. We also explain, design and use different types of prompts. At the end of the prompt engineering section, we give you two recipes you can use to get consistent results. We'll see how GPT works, including: what tokens are high level overviews of GPT, Codex and Dall-E live examples of using the playground ways to improve prompts to get better results how to use templating to create reliable prompts how to use context to introduce new knowledge This is already very practical. We cover everything from \"zero-shot\" queries, through to multi-shot and advanced template prompts. An entire section of the course is dedicated to creative writing for blogs, books and articles. PART 2: Writing Code to use the API In this section, you will learn how to write code to call GPT and the OpenAI API. Most of the examples are written in Python, but they are equally usable in C#, Typescript, Javascript, Node.js, PHP, Powershell and many other languages. There are examples and explanations of how to adapt the code for each of these languages. We introduce various coding libraries and point out issues that may be specific to each language. Once you start writing code, we go into all of the possible parameters and how they can change the way GPT works. We explain what they do, and ideal values for different situations. As well as covering the completions endpoint, we also talk about the edit or instruction end point. PART 3: CodeX and Dall-E In this section, you will learn how you can use CodeX to generate, debug, and document code. We also give an example of how you can use CodeX to create unit tests for your functions. You will find out how you can tell CodeX about new API calls and functions that are not part of its standard learning. We also use the edit endpoint to create an entire function from scratch. Because CodeX generates code, we discuss the safety of using the code it generates and highlight several serious issues that you need to consider if you intend to use the code in production. We point out possible vulnerabilities and ways hackers can exploit the code it generates. When it comes to Dall-E we walk through practical code examples to creating or edit images. We provide examples in multiple programming languages and explain how to handle images in memory and on your file system PART 4: Fine Tuning In this section we explain how you can fine-tune GPT. We explain the benefits and the difficulties. There are plenty of training examples and strategies you can use. We walk you through creating a set from scratch and uploading it OpenAI using your own code. This followed by an entire section explaining how you can use GPT to create its own trainings sets and how to get GPT to check and improve its own outputs. To round out this section of the course, we go though all of the fine-tuning parameters. We explain how you can change settings to adjust the impact the rules have on the base training. Part 5: Training on Large Text Documents using Embedding Everyone wants to know how you can train GPT on large text documents. This section of the course explains how to take a text document and use it to answer questions using GPT. Embedding vectors are explained in great detail. We also explain the theory behind them so you know what GPT is doing. We talk about breaking up large text documents, creating embeddings, and searching the results. We also talk about creating highly accurate classifiers and using clustering to find hidden patterns within documents and text. Part 6: Chatbots Who doesn't want their own chatbot? We explain how you can use GPT as a fully functional chatbot. We explain about personas and give you a recipe you can use to give your chatbot a personality and keep it on track. To keep your chatbot on task and to give it persistent memory, we explain how you can use embedding to enhance the functionality and provide unique knowledge that is not part of the base GPT training. UNIQUE FEATURES Every line of code explained in detail - email me any time if you disagree No wasted time \"typing\" on the keyboard like other courses. Instead we show finished code examples and prompts with detailed explanations that you can apply to your own use cases. Thank you for reading and I hope to see you soon! Who this course is for: Anyone who wants to master GPT and OpenAI Anyone who loves deep Natural Language Processing Anyone who wants to create their own chatbots or products using OpenAI and GPT Who this course is for: Anyone interested in utilizing OpenAI and GPT for artificial intelligence") |
| Bestseller chatGPT COURSE | OpenAI, GPT, ChatGPT and DALL-E Masterclass Discount 16%off |
Bestseller chatGPT udemy COURSE
Requirements
Beginner or Intermediate level: None
Advanced level content: Programming skills of anybody language
Description
Welcome after the Masterclass because of GPT, DALL-E or ChatGPT.
DISCLOSURE: This post may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission.
Ever considering the fact that OpenAI appeared regarding the scene, get right of entry to in accordance with a skilled AI has grow to be on hand after everyone.
GPT permits you in accordance with crave a chatbot in conformity with full tasks, then to answer questions
Fine-tuning lets in thou in imitation of change the course the AI responds
Embedding allows you to use your own knowledge base
Dall-E lets in thou in accordance with grow photos beyond text
In this course, thou desire examine altogether practical talents because of the usage of GPT. The expertise may stand old of the OpenAI playground yet of programming code.
The route is break up of 6 principal parts:
Introduction yet Prompt Engineering
Writing code and living the API
Dall-E or Codex
Fine-tuning
Embedding
Writing or managing Chatbots
PART 1: Introduction then Prompt Engineering
In that section, thou wish analyze how much to find started out along GPT. We also explain, design then utilizes one of a kind sorts of prompts. At the give up about the prompt engineering section, we commend thou couple recipes thou do utilizes in imitation of reach regular results.
We'll confer how many GPT works, including:
what tokens are
high stage overviews concerning GPT, Codex or Dall-E
live examples about the use of the playground
ways to improve prompts after get higher results
how to use templating in conformity with propagate reliable prompts
how to usage affection according to announce recent knowledge
This is meanwhile absolutely practical.
We cowl the whole lot out of "zero-shot" queries, thru according to multi-shot or superior template prompts.
An complete piece on the course is dedicated to creative composition for blogs, books and articles.
PART 2: Writing Code to use the API
In that section, you will analyze whether in imitation of draw code after call GPT or the OpenAI API. Most concerning the examples are written within Python, however they are equally usable of C#, Typescript, Javascript, Node.js, PHP, Powershell and much ignoble languages.
There are examples and explanations concerning whether after accommodation the code for every on this languages. We sing a number coding libraries then factor oversea troubles to that amount may also remain particular in conformity with each language.
Once ye begin composition code, we run of whole about the possible parameters yet how that execute exchange the access GPT works. We explain as it do, and best values because distinct situations.
As nicely as like overlaying the completions endpoint, we additionally discuss as regards the make then learning give up point.
PART 3: CodeX and Dall-E
In it section, thou pleasure research whether you may usage CodeX to generate, debug, and file code. We also give an instance concerning whether thou can makes use of CodeX after effect one checks because of thine functions.
You pleasure locate outdoors how many you execute inform CodeX touching recent API calls then features up to expectation are now not piece concerning its norm learning. We additionally makes use of the make endpoint in imitation of create an entire feature beside scratch.
Because CodeX generates code, we discuss the safety of using the articles that generates yet highlight several significant troubles as ye want in accordance with consider if thou choose to usage the articles into production. We factor outdoors feasible vulnerabilities or approaches hackers can take advantage of the code that generates.
When such comes after Dall-E we run via practical articles examples in conformity with growing or accomplish images. We provide examples into multiple programming languages then give an explanation for how many according to cope with photos in memory then on your file for consideration system
PART 4: Fine Tuning
In it quantity we give an explanation for or you be able fine-tune GPT. We explain the advantages and the difficulties. There are lots on education examples and techniques ye may use. We pace thou via developing a employ beyond scratch and importing it OpenAI the usage of you personal code.
This followed through longevity an whole part explaining how much you perform use GPT in imitation of gender its very own trainings sets and what according to find GPT after test and improve its own outputs.
To spherical out that share concerning the course, we walk even though every concerning the fine-tuning parameters. We explain how much you be able change settings in conformity with adjust the have an effect on the policies hold regarding the degenerated training.
Part 5: Training about Large Text Documents the use of Embedding
Everyone needs after comprehend how you perform teach GPT on huge text documents. This portion over the path explains or according to smoke a textual content document or makes use of such after answer questions the use of GPT. Embedding vectors are defined of full-size detail. We additionally give an explanation for the idea at the back of to them and ye comprehend such as GPT is doing. We talk in regard to breakdown upon significant text documents, creating embeddings, then looking the results.
We additionally speak in relation to growing exceedingly accurate classifiers yet using clustering in imitation of discover unseen patterns within files then text.
Part 6: Chatbots
Who does not want theirs own chatbot? We give an explanation for what thou may makes use of GPT as much a totally useful chatbot. We explain about personas or consign thou a provision thou do uses to give thy chatbot a personality and hold that about track.
To hold your chatbot on assignment or after relinquish such continual memory, we give an explanation for whether ye do utilizes embedding according to decorate the functionality then furnish special skills to that amount is now not share on the degenerated GPT training.
UNIQUE FEATURES
Every line regarding code defined of detail - e mail me some period salvo you disagree
No diminished epoch "typing" regarding the keyboard kind of ignoble courses. Instead we show completed code examples yet prompts including ample explanations as thou execute appeal after you personal makes use of cases.
Thank you because of reading yet I wish after advise you soon!
Who that direction is for:
Anyone whosoever needs in accordance with grasp GPT then OpenAI
Anyone whichever loves sound Natural Language Processing
Anyone whosoever desires to gender theirs very own chatbots or merchandise the usage of OpenAI yet GPT
Who this direction is for:
Anyone interested between making use of OpenAI or GPT because artificial talent
Don’t miss any coupons by joining our Telegram channel https://t.me/learningonlinecourses
Note : Coupons might expire anytime, so enroll as soon as possible to get the courses for FREE or Huge discount
