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  • Beginning developers who wish to advance their skills by using ChatGPT

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.

  • How to use ChatGPt to write Apex Test Classes in Salesforce
  • How to learn more about people, places and things using ChatGPT
  • No prior ChatGPT knowledge is required
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  • Section 1 : Unpublished Section 1 Lectures 00:01:35

    • Lecture 1 :
  • Section 2 : GPT-X: Unleashing the Next Generation of Generative Pre-trained Transformer Arch 1 Lectures 00:06:00

    • Lecture 1 :
    • GPT-X: Unleashing the Next Generation of Generative Pre-trained Transformer Arch
  • Section 3 : NLP Mastery: Demystifying Tokenization, Word Embeddings, and Language Modeling 1 Lectures 00:09:16

    • Lecture 1 :
    • NLP Mastery: Demystifying Tokenization, Word Embeddings, and Language Modeling
  • Section 4 : Data Mastermind: Strategies for Collecting and Preparing for ChatGPT 1 Lectures 00:03:00

    • Lecture 1 :
    • Data Mastermind: Strategies for Collecting and Preparing for ChatGPT
  • Section 5 : Empowering NLP: Unveiling the Top Libraries for Natural Language Processing 1 Lectures 00:03:40

    • Lecture 1 :
    • Empowering NLP: Unveiling the Top Libraries for Natural Language Processing
  • Section 6 : From Raw to Refined: Mastering Training Data Preparation for NLP Models 1 Lectures 00:03:41

    • Lecture 1 :
    • From Raw to Refined: Mastering Training Data Preparation for NLP Models
  • Section 7 : The Power of Diversity: Unveiling the Significance of High-Quality Training Data 1 Lectures 00:04:12

    • Lecture 1 :
    • The Power of Diversity: Unveiling the Significance of High-Quality Training Data
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Hi There! My Name is Akhil Vydyula, I am a Data Scientist I was previously worked on BFSI data analysis and modelling skills to oversee the full-life cycle of development and execution. He possess strong. ability to data wrangling, feature engineering, algorithm development, model training and implementation. SKILLS AND COMPETENCIES Expert knowledge and experience with C/C++/python Programming and SQL. Should be able to learn and Implement new technologies quickly and effectively. Excellent Mathematical Skills, Problem Solving & Logical Skills. Actively Participating in hackathons in various platforms and writing blogs in medium. TECHNICAL SKILLS Machine Learning, Natural Language Processing(NLP),Computer Vision,Regression, Multi Label Classification.Transfer Learning, Transformers, Ensembles, Stacking Classifiers.AutoML, SQL, Python, Keras, Pandas, NumPy, Seaborn,Matplotlib,Clustering,Recommendation Systems,Time Series Analysis.
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