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OpenAI is an AI research and deployment company. Mission is to ensure that artificial general intelligence benefits all of humanity.
24 September 2023
OpenAI is an artificial intelligence research laboratory consisting of the for-
profit OpenAI LP and its parent company, the non-profit OpenAI Inc.
24 September 2023
Dr. Gian Devi
Assistant Professor
Department of Computer Science
Govt. College for Girls
Gurugram
ChatGPT
OpenAI
OpenAI
CEO
2021, ………. is the current CEO of
OpenAI.
24 September 2023
OpenAI Founded
The company was founded with the goal of developing and promoting friendly AI in a responsible way,
with a focus on transparency and open research.
…………….. …………... John
Schulman
Ilya
Sutskever
Greg
Brockman
Wojciech
Zaremba
24 September 2023
OpenAI
Milestones
OpenAI is an artificial intelligence
research laboratory consisting of the for-
profit OpenAI LP and its parent
company, the non-profit OpenAI Inc.
Generative Models
June 16, 2016
Ingredients for Robotics
Research
February 26, 2018
Solving Rubik’s Cube with
a Robot Hand
October 15, 2019
Multimodal Neurons in
Artificial Neural Networks
March 4, 2021
24 September 2023
Technologies
Our API has been deployed in thousands of
applications with tasks ranging from helping
people learn new languages to solving complex
classification problems.
Artificial
Intelligence
ChatGpt
Deep Learning
Machine Learning
Machine Learning is a subset of AI that
involves using algorithms to learn from
data and make predictions based on
that data. In the case of ChatGPT,
machine learning is used to train the
model on a massive corpus of text data
and make predictions about the next
word in a sentence based on the
previous words.
In the case of ChatGPT, deep learning is
used to train the model’s transformer
architecture, which is a type of neural
network that has been successful in
various NLP tasks. The transformer
architecture enables ChatGPT to
understand and generate text in a way
that is coherent and natural-sounding.
24 September 2023
Artificial Intelligence (AI) refers to the
development of computer systems that
can perform tasks typically requiring
human intelligence, such as
understanding natural language,
recognizing patterns, solving problems,
and making decisions.
ChatGPT is trained on a diverse range of
text data, making it a versatile tool for
tasks ranging from chatbots and virtual
assistants to content creation and text-
based problem-solving. It is designed
for natural language understanding and
generation, enabling it to engage in
text-based conversations, answer
questions, and assist users across
various domains.
ChatGPT
ChatGPT is a large language model. It is based on the
transformer architecture and is trained on a dataset of
internet text to generate human-like responses to natural
language prompts. It is capable of performing a wide range
of language tasks such as question answering, text
completion, and language translation. The model's
performance can be fine-tuned for specific applications by
training it on a task-specific dataset.
24 September 2023
ChatGPT’s Goals
The goals of The goal of ChatGPT is to facilitate natural and
meaningful human-computer interactions by generating coherent
and contextually relevant text-based responses.
24 September 2023
Architecture Chat_GPT
ChatGPT is based on the transformer architecture, a type of
neural network that was first introduced in the paper
“Attention is All You Need” by Vaswani et al. The transformer
architecture allows for parallel processing, which makes it well-
suited for processing sequences of data such as text.
ChatGPT uses the PyTorch library, an open-source machine
learning library, for implementation.
24 September 2023
How does it work?
The team also includes software engineers, who
develop and maintain the company's software
infrastructure, and a business development team
focusing on partnerships and commercializing
OpenAI's technology.Overall, the OpenAI team is a
diverse group of experts from different fields
dedicated to advancing state of the art in AI and
making it more beneficial to humanity.
24 September 2023
Tokenization and Tokens in ChatGPT
Tokenization is the process of dividing the input text into
individual tokens, where each token represents a single
unit of meaning. In ChatGPT, tokens are usually words or
sub words, and each token is assigned a unique numerical
identifier called a token ID.
24 September 2023
Training Process
Of ChatGPT 1. Pre Training
OpenAI conducts research in
a variety of areas related to
AI. Research aims to advance
the state of the art in AI and
make it more beneficial to
humanity.
2. Fine Tuning
OpenAI develops advanced AI
technologies that can perform
a wide range of tasks, such as
language translation and
image generation.
The training process of ChatGPT is a complex
and multi-step process. The main purpose of
this process is to fine-tune the model’s
parameters so that it can produce outputs
that are in line with the expected results.
The main objective of this phase is to
obtain the representation of text
data in the form of token
embedding. These token embedding
are learned through the transformer
encoder blocks that are trained on
the large corpus of text data.
The objective of this phase is to
adapt the model to the specific task
and fine-tune the parameters so
that the model can produce outputs
that are in line with the expected
results. One of the most important
things in the fine-tuning phase is the
selection of the appropriate
prompts.
24 September 2023
Featured
01
02
03
04
05
Input Layer
Feed Forward NN
Multi Head
Mechanism
Transformer Block
Embedding Layer
ChatGPT is made up of a series of layers, each of which
performs a specific task.
24 September 2023
ChatGPT
Usage
Language Generation
Question Answering
Text Completion
Language Translation
Summarization
24 September 2023
ChatGPT
Advantage
There are several advantages to using ChatGPT
or other large language models like it:
6. Flexibility
4. Speed 5. Easy to use
1. High Quality of
Generated Text
3. Large
Vocabulary
2. Cost
effective
24 September 2023
How To Get
Chat GPT?
Step 1: Create an account on the OpenAI
website.
Step 2: Obtain an API key, which you'll use
to authenticate your API calls.
Step 3: Use one of the API client libraries
provided by OpenAI, such as the Python
library, to interact with the API in your code.
Step 4: You can use the API to generate text
in a variety of formats and lengths, and
control the level of completeness of the
generated text.
24 September 2023
Build
An Application
Text completion
Generate and edit text
Image generation
Generate and edit images
Fine-tuning
Train a model for your use case
Code completion
Generate, edit, and explain code
Embeddings
Search, classify, and compare text
24 September 2023
Competitors
Google
Google has a large team of AI researchers and
engineers working on a variety of projects,
computer vision, and machine learning.
Microsoft
Microsoft has a strong presence in the AI field,
with research efforts focused on areas such as
natural language processing, computer vision,
and reinforcement learning.
IBM
IBM has a long history of AI research and
development, and has made significant
contributions to the field.
24 September 2023
Bias
Inaccuracy
Lack of context
Ethical Concern
Limited Domain Knowledge
Dependance on Technology
24 September 2023
Thank You!
I respect your valuable time!
If you have any questions, please reach us
gyaninsaa17@gmail.com
24 September 2023

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Chatgpt-OpenAI Introduction.pptx

  • 1. OpenAI is an AI research and deployment company. Mission is to ensure that artificial general intelligence benefits all of humanity. 24 September 2023
  • 2. OpenAI is an artificial intelligence research laboratory consisting of the for- profit OpenAI LP and its parent company, the non-profit OpenAI Inc. 24 September 2023 Dr. Gian Devi Assistant Professor Department of Computer Science Govt. College for Girls Gurugram ChatGPT OpenAI
  • 3. OpenAI CEO 2021, ………. is the current CEO of OpenAI. 24 September 2023
  • 4. OpenAI Founded The company was founded with the goal of developing and promoting friendly AI in a responsible way, with a focus on transparency and open research. …………….. …………... John Schulman Ilya Sutskever Greg Brockman Wojciech Zaremba 24 September 2023
  • 5. OpenAI Milestones OpenAI is an artificial intelligence research laboratory consisting of the for- profit OpenAI LP and its parent company, the non-profit OpenAI Inc. Generative Models June 16, 2016 Ingredients for Robotics Research February 26, 2018 Solving Rubik’s Cube with a Robot Hand October 15, 2019 Multimodal Neurons in Artificial Neural Networks March 4, 2021 24 September 2023
  • 6. Technologies Our API has been deployed in thousands of applications with tasks ranging from helping people learn new languages to solving complex classification problems. Artificial Intelligence ChatGpt Deep Learning Machine Learning Machine Learning is a subset of AI that involves using algorithms to learn from data and make predictions based on that data. In the case of ChatGPT, machine learning is used to train the model on a massive corpus of text data and make predictions about the next word in a sentence based on the previous words. In the case of ChatGPT, deep learning is used to train the model’s transformer architecture, which is a type of neural network that has been successful in various NLP tasks. The transformer architecture enables ChatGPT to understand and generate text in a way that is coherent and natural-sounding. 24 September 2023 Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence, such as understanding natural language, recognizing patterns, solving problems, and making decisions. ChatGPT is trained on a diverse range of text data, making it a versatile tool for tasks ranging from chatbots and virtual assistants to content creation and text- based problem-solving. It is designed for natural language understanding and generation, enabling it to engage in text-based conversations, answer questions, and assist users across various domains.
  • 7. ChatGPT ChatGPT is a large language model. It is based on the transformer architecture and is trained on a dataset of internet text to generate human-like responses to natural language prompts. It is capable of performing a wide range of language tasks such as question answering, text completion, and language translation. The model's performance can be fine-tuned for specific applications by training it on a task-specific dataset. 24 September 2023
  • 8. ChatGPT’s Goals The goals of The goal of ChatGPT is to facilitate natural and meaningful human-computer interactions by generating coherent and contextually relevant text-based responses. 24 September 2023
  • 9. Architecture Chat_GPT ChatGPT is based on the transformer architecture, a type of neural network that was first introduced in the paper “Attention is All You Need” by Vaswani et al. The transformer architecture allows for parallel processing, which makes it well- suited for processing sequences of data such as text. ChatGPT uses the PyTorch library, an open-source machine learning library, for implementation. 24 September 2023
  • 10. How does it work? The team also includes software engineers, who develop and maintain the company's software infrastructure, and a business development team focusing on partnerships and commercializing OpenAI's technology.Overall, the OpenAI team is a diverse group of experts from different fields dedicated to advancing state of the art in AI and making it more beneficial to humanity. 24 September 2023
  • 11. Tokenization and Tokens in ChatGPT Tokenization is the process of dividing the input text into individual tokens, where each token represents a single unit of meaning. In ChatGPT, tokens are usually words or sub words, and each token is assigned a unique numerical identifier called a token ID. 24 September 2023
  • 12. Training Process Of ChatGPT 1. Pre Training OpenAI conducts research in a variety of areas related to AI. Research aims to advance the state of the art in AI and make it more beneficial to humanity. 2. Fine Tuning OpenAI develops advanced AI technologies that can perform a wide range of tasks, such as language translation and image generation. The training process of ChatGPT is a complex and multi-step process. The main purpose of this process is to fine-tune the model’s parameters so that it can produce outputs that are in line with the expected results. The main objective of this phase is to obtain the representation of text data in the form of token embedding. These token embedding are learned through the transformer encoder blocks that are trained on the large corpus of text data. The objective of this phase is to adapt the model to the specific task and fine-tune the parameters so that the model can produce outputs that are in line with the expected results. One of the most important things in the fine-tuning phase is the selection of the appropriate prompts. 24 September 2023
  • 13. Featured 01 02 03 04 05 Input Layer Feed Forward NN Multi Head Mechanism Transformer Block Embedding Layer ChatGPT is made up of a series of layers, each of which performs a specific task. 24 September 2023
  • 14. ChatGPT Usage Language Generation Question Answering Text Completion Language Translation Summarization 24 September 2023
  • 15. ChatGPT Advantage There are several advantages to using ChatGPT or other large language models like it: 6. Flexibility 4. Speed 5. Easy to use 1. High Quality of Generated Text 3. Large Vocabulary 2. Cost effective 24 September 2023
  • 16. How To Get Chat GPT? Step 1: Create an account on the OpenAI website. Step 2: Obtain an API key, which you'll use to authenticate your API calls. Step 3: Use one of the API client libraries provided by OpenAI, such as the Python library, to interact with the API in your code. Step 4: You can use the API to generate text in a variety of formats and lengths, and control the level of completeness of the generated text. 24 September 2023
  • 17. Build An Application Text completion Generate and edit text Image generation Generate and edit images Fine-tuning Train a model for your use case Code completion Generate, edit, and explain code Embeddings Search, classify, and compare text 24 September 2023
  • 18. Competitors Google Google has a large team of AI researchers and engineers working on a variety of projects, computer vision, and machine learning. Microsoft Microsoft has a strong presence in the AI field, with research efforts focused on areas such as natural language processing, computer vision, and reinforcement learning. IBM IBM has a long history of AI research and development, and has made significant contributions to the field. 24 September 2023
  • 19. Bias Inaccuracy Lack of context Ethical Concern Limited Domain Knowledge Dependance on Technology 24 September 2023
  • 20. Thank You! I respect your valuable time! If you have any questions, please reach us gyaninsaa17@gmail.com 24 September 2023