Seminar on ChatGPT Large Language Model by Abhilash Majumder(Intel)
This presentation is solely for reading purposes and contains technical details about ChatGPT fundamentals
What is ChatGPT and how can we use it? This is a talk given at Affiliate Summit West -- January 2023 to explain what ChatGPT is and isn't and how we can use it in Search.
All images were created using Dall-e.
ChatGPT is a highly advanced language model developed by OpenAI. Its ability to understand and respond to natural language input can be a valuable tool for mobile application developers looking to streamline their workflow and improve their app development process.
What is ChatGPT and how can we use it? This is a talk given at Affiliate Summit West -- January 2023 to explain what ChatGPT is and isn't and how we can use it in Search.
All images were created using Dall-e.
ChatGPT is a highly advanced language model developed by OpenAI. Its ability to understand and respond to natural language input can be a valuable tool for mobile application developers looking to streamline their workflow and improve their app development process.
Tech adoption for AI ML has been rapidly growing over the globe and ChatGPT is the game changer. Artificial intelligence and Machine learning are uplifting internet era with swift solutions for users. https://www.9series.com/blog/revolutionary-chatgpt/
This presentation is detailed on the topic of ChatGPT and covering other topics of Open AI like Whisper, Music, and Dall e. Made this with the sole purpose of my own presentation in class. With this presentation, I got 9.65 points out of 10, the best among the class. Hope You like it too.
ChatGPT is a chatbot developed by OpenAI and launched in November 2022.
Useful to all the school and college going
Kindly use ChatGPT to enhance your knowledge
This ChatGPT SEO guide is created to help individuals take advantage of the potential of ChatGPT for SEO. ChatGPT has rapidly gained popularity with over 1 million users registered in just 5 days. This guide provides an in-depth understanding of utilizing ChatGPT to improve your SEO and attain higher search engine rankings.
As an AI language model, ChatGPT is a program consisting of a large neural network that has been trained on vast amounts of textual data. Specifically, ChatGPT is a variant of the GPT (Generative Pre-trained Transformer) family of models developed by OpenAI.
Let's talk about GPT: A crash course in Generative AI for researchersSteven Van Vaerenbergh
This talk delves into the extraordinary capabilities of the emerging technology of generative AI, outlining its recent history and emphasizing its growing influence on scientific endeavors. Through a series of practical examples tailored for researchers, we will explore the transformative influence of these powerful tools on scientific tasks such as writing, coding, data wrangling and literature review.
ChatGPT is a cutting-edge language model developed by OpenAI that is changing the way people interact with artificial intelligence. With advanced machine learning algorithms and a highly flexible design, ChatGPT makes it easy to generate human-like text based on a wide range of prompts. Whether you're building a chatbot, composing a report, or creating some creative writing, ChatGPT has you covered. One of the biggest advantages of ChatGPT is its ability to learn from the vast amounts of text data it has been trained on, continuously improving its performance over time. This means that the responses generated by ChatGPT are more accurate and relevant than ever before.
One thing to keep in mind is that ChatGPT, like all language models, is not perfect and may not always produce the desired results. Therefore, there are several things that businesses should consider before using ChatGPT. Here is a detailed explanation of some of the key limitations of ChatGPT. To know all problems of ChatGPT then visit blog post at https://windzoon.com/blog/chatgpt-for-small-businesses/
5 BENIFITES OF CHAT GPT: Discover the Power of Chat GPT: 5 Benefits of chat GPT Learn how Chat GPT can enhance user engagement, increase efficiency, improve content creation, provide better customer support, and save costs. Check out our PowerPoint presentation to explore the possibilities of this cutting-edge technology.
Hello guys . im yuvraj . recently in my collage they gave a task to make pptx of topic : ChatGPT . So i would like to share with you guys ! i hope someone will be get help from this ..and dont forget to Rate my PPTX ..THANK YOU
This was the training session follow up to the general talk on ChatGPT. This talk has a bit more detail on prompt writing along with the power and limitations of ChatGPT for Marketing.
My presentation today about ChatGPT, Open AI, conversational AI, and the Future Of Work. Includes survey data from the audience. Presented at our Constellation Research Execution Network monthy Office Hours of CIOs, CDOs, and other CXOs.
How does ChatGPT work: an Information Retrieval perspectiveSease
In this talk, we will explore the underlying mechanisms of ChatGPT, a large-scale language model developed by OpenAI, from the perspective of Information Retrieval (IR). We will delve into the process of training the model using massive amounts of data, the techniques used to optimize the model’s performance, and how the IR concepts such as tokenization, vectorization, and ranking are used in generating responses. We will also discuss how ChatGPT handles contextual understanding and how it leverages the power of transfer learning to generate high-quality and relevant responses. Software engineers will gain insights into how a modern conversational AI system like ChatGPT works, providing a better understanding of its strengths and limitations, and how to best integrate it into their software applications.
This abstract has been fully written by ChatGPT with the simple prompt in input <Write an abstract for a talk called “How does ChatGPT work? An Information Retrieval perspective”, the audience is software engineers>.
Tech adoption for AI ML has been rapidly growing over the globe and ChatGPT is the game changer. Artificial intelligence and Machine learning are uplifting internet era with swift solutions for users. https://www.9series.com/blog/revolutionary-chatgpt/
This presentation is detailed on the topic of ChatGPT and covering other topics of Open AI like Whisper, Music, and Dall e. Made this with the sole purpose of my own presentation in class. With this presentation, I got 9.65 points out of 10, the best among the class. Hope You like it too.
ChatGPT is a chatbot developed by OpenAI and launched in November 2022.
Useful to all the school and college going
Kindly use ChatGPT to enhance your knowledge
This ChatGPT SEO guide is created to help individuals take advantage of the potential of ChatGPT for SEO. ChatGPT has rapidly gained popularity with over 1 million users registered in just 5 days. This guide provides an in-depth understanding of utilizing ChatGPT to improve your SEO and attain higher search engine rankings.
As an AI language model, ChatGPT is a program consisting of a large neural network that has been trained on vast amounts of textual data. Specifically, ChatGPT is a variant of the GPT (Generative Pre-trained Transformer) family of models developed by OpenAI.
Let's talk about GPT: A crash course in Generative AI for researchersSteven Van Vaerenbergh
This talk delves into the extraordinary capabilities of the emerging technology of generative AI, outlining its recent history and emphasizing its growing influence on scientific endeavors. Through a series of practical examples tailored for researchers, we will explore the transformative influence of these powerful tools on scientific tasks such as writing, coding, data wrangling and literature review.
ChatGPT is a cutting-edge language model developed by OpenAI that is changing the way people interact with artificial intelligence. With advanced machine learning algorithms and a highly flexible design, ChatGPT makes it easy to generate human-like text based on a wide range of prompts. Whether you're building a chatbot, composing a report, or creating some creative writing, ChatGPT has you covered. One of the biggest advantages of ChatGPT is its ability to learn from the vast amounts of text data it has been trained on, continuously improving its performance over time. This means that the responses generated by ChatGPT are more accurate and relevant than ever before.
One thing to keep in mind is that ChatGPT, like all language models, is not perfect and may not always produce the desired results. Therefore, there are several things that businesses should consider before using ChatGPT. Here is a detailed explanation of some of the key limitations of ChatGPT. To know all problems of ChatGPT then visit blog post at https://windzoon.com/blog/chatgpt-for-small-businesses/
5 BENIFITES OF CHAT GPT: Discover the Power of Chat GPT: 5 Benefits of chat GPT Learn how Chat GPT can enhance user engagement, increase efficiency, improve content creation, provide better customer support, and save costs. Check out our PowerPoint presentation to explore the possibilities of this cutting-edge technology.
Hello guys . im yuvraj . recently in my collage they gave a task to make pptx of topic : ChatGPT . So i would like to share with you guys ! i hope someone will be get help from this ..and dont forget to Rate my PPTX ..THANK YOU
This was the training session follow up to the general talk on ChatGPT. This talk has a bit more detail on prompt writing along with the power and limitations of ChatGPT for Marketing.
My presentation today about ChatGPT, Open AI, conversational AI, and the Future Of Work. Includes survey data from the audience. Presented at our Constellation Research Execution Network monthy Office Hours of CIOs, CDOs, and other CXOs.
How does ChatGPT work: an Information Retrieval perspectiveSease
In this talk, we will explore the underlying mechanisms of ChatGPT, a large-scale language model developed by OpenAI, from the perspective of Information Retrieval (IR). We will delve into the process of training the model using massive amounts of data, the techniques used to optimize the model’s performance, and how the IR concepts such as tokenization, vectorization, and ranking are used in generating responses. We will also discuss how ChatGPT handles contextual understanding and how it leverages the power of transfer learning to generate high-quality and relevant responses. Software engineers will gain insights into how a modern conversational AI system like ChatGPT works, providing a better understanding of its strengths and limitations, and how to best integrate it into their software applications.
This abstract has been fully written by ChatGPT with the simple prompt in input <Write an abstract for a talk called “How does ChatGPT work? An Information Retrieval perspective”, the audience is software engineers>.
Training language models to follow instructions with human feedback (Instruct...Rama Irsheidat
Training language models to follow instructions with human feedback (InstructGPT).pptx
Long Ouyang, Jeff Wu, Xu Jiang et al. (OpenAI)
Making language models bigger does not inherently make them better at following a user's intent. For example, large language models can generate outputs that are untruthful, toxic, or simply not helpful to the user. In other words, these models are not aligned with their users. In this paper, we show an avenue for aligning language models with user intent on a wide range of tasks by fine-tuning with human feedback. Starting with a set of labeler-written prompts and prompts submitted through the OpenAI API, we collect a dataset of labeler demonstrations of the desired model behavior, which we use to fine-tune GPT-3 using supervised learning. We then collect a dataset of rankings of model outputs, which we use to further fine-tune this supervised model using reinforcement learning from human feedback. We call the resulting models InstructGPT. In human evaluations on our prompt distribution, outputs from the 1.3B parameter InstructGPT model are preferred to outputs from the 175B GPT-3, despite having 100x fewer parameters. Moreover, InstructGPT models show improvements in truthfulness and reductions in toxic output generation while having minimal performance regressions on public NLP datasets. Even though InstructGPT still makes simple mistakes, our results show that fine-tuning with human feedback is a promising direction for aligning language models with human intent.
Advanced Techniques to Accelerate Model Tuning | Software for AI Optimization...Intel® Software
Learn about the algorithms and associated implementations that power SigOpt, a platform for efficiently conducting model development and hyperparameter optimization. Get started on your AI Developer Journey @ software.intel.com/ai.
In this video I’m going to show you how SigOpt can help you amplify your machine learning and AI models by optimally tuning them using our black-box optimization platform.
Video: https://youtu.be/EjGrRxXWg8o
The SigOpt platform provides an ensemble of state-of-the-art Bayesian and Global optimization algorithms via a simple Software-as-a-Service API.
LLMs for the “GPU-Poor” - Franck Nijimbere.pdfGDG Bujumbura
Struggling with limited GPU resources but want to leverage large language models (LLMs)? This session provides a deep dive into cutting-edge LLM compression methods like quantization, pruning, and knowledge distillation. Learn how to efficiently run LLMs without sacrificing performance. Ideal for data scientists, machine learning engineers, and AI enthusiasts keen on cost-effective solutions. Includes a 5-minute Q&A.
Using Optimal Learning to Tune Deep Learning PipelinesSigOpt
SigOpt talk from NVIDIA GTC 2017 and AWS SF AI Day
We'll introduce Bayesian optimization as an efficient way to optimize machine learning model parameters, especially when evaluating different parameters is time consuming or expensive. Deep learning pipelines are notoriously expensive to train and often have many tunable parameters, including hyperparameters, the architecture, and feature transformations, that can have a large impact on the efficacy of the model. We'll provide several example applications using multiple open source deep learning frameworks and open datasets. We'll compare the results of Bayesian optimization to standard techniques like grid search, random search, and expert tuning. Additionally, we'll present a robust benchmark suite for comparing these methods in general.
Using Optimal Learning to Tune Deep Learning PipelinesScott Clark
SigOpt talk from NVIDIA GTC 2017 and AWS Popup Loft AI Day
We'll introduce Bayesian optimization as an efficient way to optimize machine learning model parameters, especially when evaluating different parameters is time consuming or expensive. Deep learning pipelines are notoriously expensive to train and often have many tunable parameters, including hyperparameters, the architecture, and feature transformations, that can have a large impact on the efficacy of the model. We'll provide several example applications using multiple open source deep learning frameworks and open datasets. We'll compare the results of Bayesian optimization to standard techniques like grid search, random search, and expert tuning. Additionally, we'll present a robust benchmark suite for comparing these methods in general.
The GPT-3 model architecture is a transformer-based neural network that has been fed 45TB of text data. It is non-deterministic, in the sense that given the same input, multiple runs of the engine will return different responses. Also, it is trained on massive datasets that covered the entire web and contained 500B tokens, humongous 175 Billion parameters, a more than 100x increase over GPT-2, which was considered state-of-the-art technology with 1.5 billion parameters.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
2. ChatGPT
• Chat GPT model is trained using Reinforcement Learning from
Human Feedback (RLHF),
• ChatGPT uses the same methods as InstructGPT, but with
slight differences in the data collection setup.
• ChatGPT is trained on an initial model using supervised fine-
tuning: human AI trainers provided conversations in which they
played both sides—the user and an AI assistant.
• For supervised fine-tuning ChatGPT leverages a reward
function based on PPO on policy algorithm to achieve SOTA
generative sequences
4. ChatGPT- GPT3
• GPT-3 is an autoregressive
transformer model with 175
billion parameters. It uses
the same architecture/model
as GPT-2, including the
modified initialization,
pre-normalization, and
reversible tokenization,
with the exception that GPT-
3 uses alternating dense and
locally banded sparse
attention patterns in the
layers of the transformer,
similar to the Sparse
Transformer.
5. ChatGPT- PPO(A2C)
• There are two primary variants of PPO: PPO-
Penalty and PPO-Clip.
• PPO-Penalty approximately solves a KL-
constrained update like TRPO, but penalizes
the KL-divergence in the objective function
instead of making it a hard constraint, and
automatically adjusts the penalty coefficient
over the course of training so that it’s
scaled appropriately.
• PPO-Clip doesn’t have a KL-divergence term in
the objective and doesn’t have a constraint
at all. Instead relies on specialized
clipping in the objective function to remove
incentives for the new policy to get far from
the old policy.
• PPO is an on-policy algorithm.
• PPO can be used for environments with either
discrete or continuous action spaces.
•
6. ChatGPT
• In case of GPT, PPO
infusion is semi
supervised. This implies
that a reward function is
moderated by human
supervision based on
previous results. The
initial LLM
(GPT)generative sequences
are ranked based on the
cumulative rewards based
on human supervised PPO.
7. ChatGPT
• Both models are given a
prompt and get a response.
The tuned LLM responses
are scored with the reward
function and which is then
used to update the
parameters of the fine-
tuned LLM to maximize the
reward function score (PPO
rewards)
•
8. ChatGPT
• But we also don't want
it to deviate too much
from the initial
response, which is what
the KL penalty is used
for. Otherwise the
optimization might
result in an LLM that
produces gibberish but
maximizes the reward
model score.