Generative AI, LLM & Chat GPT : Architecture & Tech Stack

Generative AI, LLM & Chat GPT : Architecture & Tech Stack, available at $24.99, has an average rating of 3.71, with 9 lectures, based on 7 reviews, and has 31 subscribers.

You will learn about Choosing your base LLM Model Choosing the best data stack for you AI Applications Iteration & Prompt Management Testing, Deploying & Continuous Iteration of LLM Models Understand Vector Databases & Embeddings This course is ideal for individuals who are Beginner Developer interested in building LLM Apps It is particularly useful for Beginner Developer interested in building LLM Apps.

Enroll now: Generative AI, LLM & Chat GPT : Architecture & Tech Stack

Summary

Title: Generative AI, LLM & Chat GPT : Architecture & Tech Stack

Price: $24.99

Average Rating: 3.71

Number of Lectures: 9

Number of Published Lectures: 9

Number of Curriculum Items: 9

Number of Published Curriculum Objects: 9

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Choosing your base LLM Model
Choosing the best data stack for you AI Applications
Iteration & Prompt Management
Testing, Deploying & Continuous Iteration of LLM Models
Understand Vector Databases & Embeddings

Who Should Attend

Beginner Developer interested in building LLM Apps

Target Audiences

Beginner Developer interested in building LLM Apps

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? Evolution of Machine Learning Architecture to Transformer Architecture: Uncover the groundbreaking advancements that have shaped the future of AI, propelling you to the forefront of innovation.

? Choosing the Best Data Stack for Developing Generative AI Applications: Unlock the secrets to selecting the perfect data stack, empowering you to create awe-inspiring AI applications that surpass expectations.

? Best-in-Class End-to-End Stack for Developing Generative AI Applications: Craft a winning AI workflow from start to finish, incorporating the most advanced techniques and tools for unparalleled success.

? Choosing the Best LLM Models for Your AI Applications: Gain expertise in selecting the most exceptional LLM models, propelling your projects to new heights of performance and accuracy.

? Prompt Engineering & Comparing Responses with AI Models: Master the art of prompt engineering and learn how to effectively compare responses with AI models, enabling you to create dynamic and responsive applications.

? Understand Why to Use Vector Databases and Choose the Best: Unlock the potential of vector databases and discover why they are crucial for AI applications. Learn to choose the best database for your specific needs and optimize performance.

? Optimizing LLM Models for Enterprise Use: Supercharge your AI applications for enterprise-level performance, ensuring maximum efficiency and scalability.

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Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction & Why you should take this course

Chapter 2: Evolution of Machine Learning Architecture to Transformer Architecture

Lecture 1: Evolution of Machine Learning Architecture to Transformer Architecture

Chapter 3: Choosing the best Data Stack for developing Generative AI Applications

Lecture 1: Choosing the best data stack for your LLM Applications- Databricks, Mosaic ML &

Chapter 4: Best in class end to end stack for developing Generative AI Applications

Lecture 1: Emerging LLM App Stack: Databricks, Hugging Face, Pinecone, Langchain and More!

Chapter 5: Choosing the best LLM models for your AI Applications

Lecture 1: First crucial decision: Picking the right LLM model for your application

Chapter 6: Iteration & Prompt Management

Lecture 1: Prompt Engineering & Comparing Responses with AI models

Lecture 2: Prompt Engineering & Comparing Responses with AI models

Chapter 7: Understand Vector Databases & Embeddings

Lecture 1: Understand why to use Vector databases and choose best vector database

Chapter 8: Optimizing LLM Models for Enterprise Use

Lecture 1: Optimizing LLM Models for Enterprise Use

Instructors

Rohan Sharma
Head, Agile Practice, Thermofisher Scientific

Rating Distribution

1 stars: 0 votes
2 stars: 2 votes
3 stars: 2 votes
4 stars: 1 votes
5 stars: 2 votes

Frequently Asked Questions

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