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ChatGPT
Sreenivas R
19PW41
Introduction 1 Million users in 1 Week
● OpenAI is a research organization that focuses on
developing artificial intelligence (AI) technologies with the
goal of advancing the field of AI and promoting its safe and
responsible use.
● The company was founded in 2015 by a group of
entrepreneurs and researchers, including Elon Musk and
Sam Altman, with the goal of promoting and advancing the
development of AI in a way that is safe and beneficial to
humanity.
● GPT-3 (short for "Generative Pre-training
Transformer 3") is a language generation
model developed by OpenAI.
● It is trained on a massive amount of data and
is able to generate human-like text in a variety
of languages and styles.
● It is a large, deep neural network that has been
trained on a massive amount of data in order to
generate human-like text.
● The model is called "generative" because it is able
to generate new text that is similar in style and
content to the training data, and "pre-training"
because it is typically trained on a large dataset first
and then fine-tuned on a smaller dataset for a
specific task.
How ChatGPT
works
Transformer-based language
modeling
This involves breaking the input text into
small chunks called tokens, which are then
processed by an encoder and a decoder
The encoder converts the input tokens into a numerical
representation, called an embedding, which captures the meaning
and context of the input. This embedding is then passed through a
series of transformer layers, which use self-attention mechanisms to
learn the relationships between the input tokens.
The decoder takes the output of the transformer layers and
generates the output text one token at a time, using the previously
generated tokens to predict the next token in the sequence. This
process is repeated until the desired length of output is reached.
● One of the key features of GPT is its ability to
"understand" the context of the text it is
generating and use that context to generate more
coherent and realistic text.
● For example, if given a prompt about a specific
topic, GPT will be able to generate text that is
relevant to that topic and uses appropriate
language and style for the context.
● Virtual assistant
● Customer service chatbots
● Language translation chatbots
● Education and training
● Content Generation
Applications of
ChatGPT
https:/
/www.engraved.blog/building-a
-virtual-machine-inside/
Twitter user Alex Cohen demonstrates a
ChatGPT instruction that can create a
weight loss plan with calorie goals,
meals, and grocery and exercise plans.
The AI system considers the user’s
height, weight, age, and gender.
Advantages:
● Ability to generate human-like text
● Real-time response
● Versatility
Disadvantages:
● Dependence on large amounts of data
● Limited ability to understand context
● Potential for bias
Advantages and
limitations of
ChatGPT
Fine-tuning of
ChatGPT
Justify your effort to try to solve
the problem.
Highlight the pain points of the current
solution or how customers deal with not
having a solution to the problem.
● Use a smaller version of ChatGPT
● Use labeled or unlabeled data
● Experiment with different
hyperparameters
● Monitor performance
Conclusion Will be Monetised in future.
Questions?
References
● https://chat.openai.com/chat

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Uses of AI text bot.pdf

  • 2. Introduction 1 Million users in 1 Week
  • 3. ● OpenAI is a research organization that focuses on developing artificial intelligence (AI) technologies with the goal of advancing the field of AI and promoting its safe and responsible use. ● The company was founded in 2015 by a group of entrepreneurs and researchers, including Elon Musk and Sam Altman, with the goal of promoting and advancing the development of AI in a way that is safe and beneficial to humanity.
  • 4. ● GPT-3 (short for "Generative Pre-training Transformer 3") is a language generation model developed by OpenAI. ● It is trained on a massive amount of data and is able to generate human-like text in a variety of languages and styles.
  • 5. ● It is a large, deep neural network that has been trained on a massive amount of data in order to generate human-like text. ● The model is called "generative" because it is able to generate new text that is similar in style and content to the training data, and "pre-training" because it is typically trained on a large dataset first and then fine-tuned on a smaller dataset for a specific task.
  • 6. How ChatGPT works Transformer-based language modeling This involves breaking the input text into small chunks called tokens, which are then processed by an encoder and a decoder
  • 7. The encoder converts the input tokens into a numerical representation, called an embedding, which captures the meaning and context of the input. This embedding is then passed through a series of transformer layers, which use self-attention mechanisms to learn the relationships between the input tokens. The decoder takes the output of the transformer layers and generates the output text one token at a time, using the previously generated tokens to predict the next token in the sequence. This process is repeated until the desired length of output is reached.
  • 8. ● One of the key features of GPT is its ability to "understand" the context of the text it is generating and use that context to generate more coherent and realistic text. ● For example, if given a prompt about a specific topic, GPT will be able to generate text that is relevant to that topic and uses appropriate language and style for the context.
  • 9. ● Virtual assistant ● Customer service chatbots ● Language translation chatbots ● Education and training ● Content Generation Applications of ChatGPT
  • 11. Twitter user Alex Cohen demonstrates a ChatGPT instruction that can create a weight loss plan with calorie goals, meals, and grocery and exercise plans. The AI system considers the user’s height, weight, age, and gender.
  • 12. Advantages: ● Ability to generate human-like text ● Real-time response ● Versatility Disadvantages: ● Dependence on large amounts of data ● Limited ability to understand context ● Potential for bias Advantages and limitations of ChatGPT
  • 13. Fine-tuning of ChatGPT Justify your effort to try to solve the problem. Highlight the pain points of the current solution or how customers deal with not having a solution to the problem.
  • 14. ● Use a smaller version of ChatGPT ● Use labeled or unlabeled data ● Experiment with different hyperparameters ● Monitor performance
  • 15. Conclusion Will be Monetised in future.