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Generative Al NLP Specialization | Level 3

Dive Deeper into LLMs and it’s fine tuning techniques: Generative Al NLP Specialization.

Type

Paid
$520.00

January 11, 2025 @ 9:00 am 5:00 pm UTC+5:30

About the event

Join us for an exclusive event to elevate your Generative AI NLP expertise with advanced techniques. Explore the captivating realm of fine-tuning advanced Large Language Models (LLMs), to unlock their potential for real-world impact. This event is a unique opportunity to cultivate proficiency in refining LLMs and aligning them seamlessly with human values. Through structured exploration and hands-on exercises, you’ll uncover the intricacies of reinforcement learning, parameter-efficient fine-tuning, and effective model evaluation.

Key Outcomes and Benefits:

1. Expert-Level Skills: Develop mastery in advanced LLM fine-tuning techniques to create more precise and impactful models.

2. Ethical Alignment: Learn how to align LLMs with human values, ensuring ethical, responsible, and relevant applications.

3. Cutting-edge Insights: Gain insights into groundbreaking techniques like instruction fine-tuning, parameter efficiency, LoRA, and Soft Prompts.

4. Professional Advancement: Enhance your profile as a developer, software engineer, AI enthusiast, or data scientist with advanced Generative AI skills.

5. Network Building: Connect with a community of like-minded professionals, fostering collaborations and idea exchange.

Who Should Attend:

  • Developers and software engineers seeking to elevate their Generative AI skills.
  • AI enthusiasts and professionals committed to developing intelligent and innovative solutions.
  • Data scientists and machine learning practitioners aiming to refine their capabilities in cutting-edge GenAI models.

Prerequisite:

Prior completion of Generative AI NLP Specialization | Level 2 or equivalent knowledge is recommended.

Join us to amplify your expertise in Generative AI. Secure your spot at “Generative Al NLP Specialization | Level 3” and unlock the power of finely-tuned language models.

Deepdive into Fine-tuning LLMs
  • Introduction to Large Language Models
  • Pre-training Large Language Models
  • Computational Challenges in Training LLMs
  • Scaling Laws and Compute-Optimal Models
  • Fine-tuning Techniques                    
    • Instruction Fine-tuning
    • Fine-tuning on a Single Task
    • Multi-task Instruction Fine-tuning
    • Parameter Efficient Fine-tuning (PEFT)
    • PEFT Techniques: LoRA and Soft Prompts

        

  • Model Evaluation and Benchmarks                    
    • Evaluating Fine-tuned Models
    • Introduction to Benchmarks

     

Reinforcement Learning and LLM-powered Applications
  • Introduction
  • Overview of Fine-tuning Large Language Models
  • Importance of Aligning Models with Human Values
  • Reinforcement Learning from Human Feedback (RLHF)                    
    • Introduction to RLHF
    • Obtaining Feedback from Humans
    • Developing a Reward Model for RLHF

        

  • Fine-tuning with Reinforcement Learning                    
    • Fine-tuning Process using RLHF
    • Techniques for Optimizing RLHF Performance
    • Optional Video: Proximal Policy Optimization
    • Addressing Reward Hacking

        

  • Scaling Human Feedback                    
    • Challenges and Considerations
    • Strategies for Collecting and Incorporating Large-scale Feedback

        

  • Evaluation and Assessment                    
    • Methods for Evaluating Fine-tuned Language Models
    • Assessing Model Performance in Alignment with Human Values

        

  • Lab: Transforming Human Interactions with AI ( RLHF)

Tickets

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Generative Al NLP Specialization | Level 3
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$ 520.00
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