Unlock Your Potential: Exploring the Power of Chat GPT
What you'll learn
- How to use ChatGPt to write Apex Test Classes in Salesforce
- How to learn more about people, places and things using ChatGPT
- Advance Your Communication Skills with ChatGPT
- Use ChatGPT to come up with plot points and ideas for fictional works
- How to use ChatGPT to improve your LinkedIn Profile
- How to use ChatGPT to generate R code for data visualization
Requirements
- No prior ChatGPT knowledge is required
- Although I demonstrate ChatGPT Plus as well as the brand new GPT4 model, you can follow along in a free ChatGPT account!
- All you need is an internet connection and a curiosity about ChatGPT
Description
The "Unlocking the Potential of ChatGPT: Mastering NLP Techniques for Enhanced Conversational AI" course is designed to equip students with the knowledge and skills to harness the full potential of ChatGPT and create exceptional conversational AI systems.
In this course, you will dive deep into the key concepts of Natural Language Processing (NLP), including tokenization, word embeddings, and language modeling. You will gain a comprehensive understanding of how these techniques work and their significance in NLP applications.
One crucial aspect of building powerful NLP models is collecting and preparing training data. In this course, you will learn effective strategies for sourcing, curating, and preparing diverse and high-quality training data. You will explore techniques to ensure data cleanliness, handle data biases, and optimize data representation for optimal model performance.
Throughout the course, you will also explore advanced versions of the GPT architecture, discovering cutting-edge developments and techniques in generative pre-trained transformers. You will uncover the latest advancements in NLP libraries and gain hands-on experience with industry-leading tools for developing and fine-tuning NLP models.
By the end of this course, you will have the expertise to create sophisticated conversational AI systems using ChatGPT. You will understand the importance of diverse and high-quality training data, be proficient in data preparation techniques, and possess the knowledge to leverage NLP libraries effectively. Embark on this transformative learning journey and unlock the true potential of ChatGPT for exceptional conversational AI experiences.
Who this course is for:
- Beginning developers who wish to advance their skills by using ChatGPT
- Those that want to use ChatGPT for creative endeavors
- Beginners wanting to learn what the fuss is about ChatGPT
- Those that want to use Chat GPT to improve their writing
Instructor
- 3.9 Instructor Rating
- 282 Reviews
- 21,631 Students
- 41 Courses
Hello, I'm Akhil, a Senior Data Scientist at PwC specializing in the Advisory Consulting practice with a focus on Data and Analytics.
My career journey has provided me with the opportunity to delve into various aspects of data analysis and modelling, particularly within the BFSI sector, where I've managed the full lifecycle of development and execution.
I possess a diverse skill set that includes data wrangling, feature engineering, algorithm development, and model implementation. My expertise lies in leveraging advanced data mining techniques, such as statistical analysis, hypothesis testing, regression analysis, and both unsupervised and supervised machine learning, to uncover valuable insights and drive data-informed decisions. I'm especially passionate about risk identification through decision models, and I've honed my skills in machine learning algorithms, data/text mining, and data visualization to tackle these challenges effectively.
Currently, I am deeply involved in an exciting Amazon cloud project, focusing on the end-to-end development of ETL processes. I write ETL code using PySpark/Spark SQL to extract data from S3 buckets, perform necessary transformations, and execute scripts via EMR services. The processed data is then loaded into Postgres SQL (RDS/Redshift) in full, incremental, and live modes. To streamline operations, I’ve automated this process by setting up jobs in Step Functions, which trigger EMR instances in a specified sequence and provide execution status notifications. These Step Functions are scheduled through EventBridge rules.
Moreover, I've extensively utilized AWS Glue to replicate source data from on-premises systems to raw-layer S3 buckets using AWS DMS services. One of my key strengths is understanding the intricacies of data and applying precise transformations to convert data from multiple tables into key-value pairs. I’ve also optimized stored procedures in Postgres SQL to efficiently perform second-level transformations, joining multiple tables and loading the data into final tables.
I am passionate about harnessing the power of data to generate actionable insights and improve business outcomes. If you share this passion or are interested in collaborating on data-driven projects, I would love to connect. Let’s explore the endless possibilities that data analytics can offer!