->

LangChain MasterClass-Develop 7 OpenAI LLM Apps using Python

LangChain MasterClass-Develop 7 OpenAI LLM Apps using Python

Last updated 6/2023

Created by Sharath Raju

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English + srt | Duration: 39 Lectures ( 4h 48m ) | Size: 2.5 GB


What you'll learn

Helps you to create LLM powered applications usimg Langchain that will help you save time and increase efficiency

By the end of the course , you will be capable of working on langchain LLM real time projects

Explore useful concepts that can be used in your Langchain projects

You will gain a solid understanding of LangChain components like LLM wrappers, prompt templates, and Memory.

Additionally, we will delve into the concept of embeddings and vector data stores, learning how to utilize them effectively to enhance the performance of LangCh

Project 1: Construct a question-answering application powered by LLM using LangChain, OpenAI, and Hugging Face Spaces.

Project 2: Develop a conversational bot using LangChain,LLM and OpenAI.

Project 3: Build an AI-powered app for kids that helps them find similar classes of things.

Project 4: Create a marketing campaign app focused on increasing sales through well-crafted sales copy.

 

Project 5: Develop a ChatGPT clone with a summarization option, offering a useful chatbot experience.

LangChain MasterClass-Develop 7 OpenAI LLM Apps using Python

LangChain_MasterClass-Develop_7_OpenAI_LLM_Apps_using_Python.part1.rar - 995.0 MB

LangChain_MasterClass-Develop_7_OpenAI_LLM_Apps_using_Python.part2.rar - 995.0 MB

LangChain_MasterClass-Develop_7_OpenAI_LLM_Apps_using_Python.part3.rar - 580.8 MB


 TO MAC USERS: If RAR password doesn't work, use this archive program: 

RAR Expander 0.8.5 Beta 4  and extract password protected files without error.


 TO WIN USERS: If RAR password doesn't work, use this archive program: 

Latest Winrar  and extract password protected files without error.


 NinoAzul   |  

Information
Members of Guests cannot leave comments.




rss