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Course Description

Elevate your tech and AI career with our cutting-edge Fundamentals of Large Language Model program. Discover the limitless potential of Generative AI with Large Language Models.

Objectives

Our program equips you with the skills to gain knowledge, practical skills, and a functional knowledge of how Generative AI works. This program describes in detail the transformer architecture that powers the LLM, and how fine-tuning enables LLMs to be adapted to a specific use case.

Audience

Looking to take your career in AI and technology to new heights? Our Fundamentals of Large Language Models program is designed to empower professionals of all backgrounds, whether you're a seasoned AI researcher, software engineer, data scientist, or tech professional involved in natural language processing projects. With our program's comprehensive curriculum, you'll master the art of developing with Large Language Models and gain a competitive edge in the industry. By enrolling in our program, you'll open doors to limitless opportunities in the dynamic world of AI and technology. Get ready to become a trailblazer in developing with LLM with the skills and knowledge you'll gain through our program.

Prerequisites

Anyone can attend the course.

Content

Modules Included:

 

  1. Introduction to AI 
  •  What is artificial Intelligence 
  •  Building blocks of AI 
  •  Type of AI 

 

2. Introduction to Machine Learning

  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning
  • Dataset
  • Data Preprocessing and Data Cleaning

 

3. Introduction to GenAI

 

  •  Overview of GenAI
  • Use Cases of GenAI
  • LLM Introduction
  • LLM Use Cases
  • GenAI configuration Inference Parameters
  • GenAI Project Lifecycle

 

4. LLM Pretraining, Scaling Laws and Fine tunning

 

  • Pre-training LLM
  • Computational Challenges
  • Scaling Laws
  • Single task and multi-task fine-tunning
  •  PEFT techniques

 

5. Reinforcement Learning

 

  • RLHF overview
  • RLHF: feedback from human
  • RLHF: Reward Model

 

               

 

What does a LLM Developer do?

 

A Large Language Model developer possesses a diverse set of skills and knowledge required to perform various tasks and responsibilities related to LLM Developer such as design, develop, optimize Large Language Models, NLP Systems, frameworks, and tools for both front-end and back-end development. Their expertise plays a crucial role in driving innovation, creating engaging conversational experiences, and optimizing the performance of language models. As a sought-after professional in the industry, a Large Language Developer leverages their expertise to deliver cutting-edge solutions with precision, speed, and efficiency.

 

 

What are the domains where LLM developer work?

 

A Large Language Model Developer works across various domains and industries that leverage natural language processing and AI technologies. Some of the common domains where a LLM Developer may work include.

    • Chatbot Development
    • Virtual Assistants
    • Customer Support
    • Content Generation
    • AI Research
    • Language Model Fine-Tuning
    • Social Network, Media, and Communication
    • SaaS industry
    • E-Commerce and Finance

 

 

Top Job Roles of LLM Developer

 

    • LLM Research Scientist
    • LLM Developer
    • LLM Data Scientist
    • LLM Machine Learning Engineer
    • LLM Business Analyst
    • LLM Solution Architect
    • LLM Consultant
    • LLM Technical Writer
    • LLM Evangelist

 

 

Salary of a LLM Developer in India.

 

According to recent surveys and reports, the average annual pay package for a LLM Developer in India is around ₹16 lakhs per year. However, the salary may vary depending on factors such as years of experience, skills, location, and the organization you work for. An Entry level LLM developer gets an offer of ₹5.6 lakhs per year. Senior professionals with a considerable amount of experience can earn up to ₹30 lakhs per annum. Some startups and large technology firms offer higher salaries to attract top talent for critical roles in conversational AI and NLP technologies.

 

 

Is it worth to pursue a career as LLM Developer?

 

It's worth noting that the field of Large Language Models is rapidly evolving, and demand for skilled engineers is expected to increase in the coming years. With this projected growth, salaries for Large Language Model Developers may continue to rise, making it a lucrative career choice.