Developing Generative AI Apps

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Apurv Sibal

39:49

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1. AutoGPT

1. AutoGPT.mp4

08:22

2.1 autogpt.zip

2. Code.html

2. Agent Simulations

1. Simulations with Two Agents - Two Player D&D.mp4

12:19

2.1 two player d and d.zip

2. Code.html

3. Agents

1. Sales GPT.mp4

10:01

2.1 salesgpt.zip

2. Code.html

4. Question Answering over Docs

1. Question Answering over Docs.mp4

04:58

2.1 qaoverdocs.zip

2. Code.html

5. Chatbots

1. ChatGPT Clone.mp4

04:09

2.1 chatgpt.zip

2. Code.html

Description

using OpenAI ChatGPT APIs and LangChain

What You'll Learn?

How to develop applications powered by Language Models
How to connect a language model to other sources of data
How to allow a language model to run in autonomous mode
How to use the LangChain framework to do it in minutes

Who is this for?

Beginner Python developers curious about Generative AI

What You Need to Know?

No programming experience is required. Python is a plus.

More details

Description
In this course, we will build five projects using LangChain and OpenAI
1. AutoGPT - An Autonomous AI assistant that can do multiple tasks to achieve a goal eg: if you tell it to generate the weather report it would google the weather and generate a report in natural language and save it to a file.
2. Two-Player Dungeons and Dragons - In this game, we will see how to create agents and simulate them, we will also learn to work with memory and see a basic example of agent assignment with Harry Potter and Dumbledore.
3. SalesGPT - We will create a 7-stage sales process-based ChatBot for a mattress company. It would employ an analyser that would give the stage of the customer based on the conversation and generate a reply according to the stage.
4. Question Answering over Docs - We will develop a question-answering bot over documents and learn about vector databases and how to augment data with large language models
5. ChatGPT - In this section, we will build a ChatGPT clone with Prompt Templates, Memory, and other LangChain components.
You do not need any coding experience though knowing how to code in Python is a plus. In addition, the source code for all the projects is provided in the course.
Who this course is for:
Beginner Python developers curious about Generative AI

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Artificial Intelligence

Apurv Sibal

Instructor's Courses

Apurv Sibal is a Vice President at AI Consultancy Firm and is an AI Consultant and Data Scientist with WorldQuant Predictive. He has served as the Founder, Co-founder, and Chief Executive Officer of Calle Corp, a voice AI / ML platform. He was the youngest undergraduate when he published 7 research papers in international journals from the Indian Institute of Technology Delhi. He is an open-source contributor to LangChain, AutoGPT, Elastic, Azure, and AWS and has co-authored a machine-learning library for risk assessment in banking, PyBanking. He has been published in Lifewire, Techkrest, and other leading technology publications. He has 5 years of experience working with Artificial Intelligence, particularly Large Language Models such as GPT-J, GPT-Neo, and OpenAI-based GPT3 and ChatGPT.

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