Master LLMs & Build AI Chatbots Fast - Python Pro 2024
Focused View
1:40:23
1 -Introduction.mp4
01:26
2 -What is an LLM.mp4
01:59
3 -LLM Architecture.mp4
03:20
4 -Type of Tasks for LLMs.mp4
03:42
1 -What is the Transformers library.mp4
01:23
2 -Using Pipeline for Sentiment Analysis.mp4
07:34
2 - Link of the Notebook Sentiment Analysis.html
3 -How to search and pick an NLP model.mp4
06:54
4 -Using Pipeline for NER.mp4
08:04
4 - Link of the Notebook Named Entity Recognition.html
5 -Using AutoModel and AutoTokenizer for QA.mp4
08:19
5 - Link of the Notebook Question & Answer.html
6 -Generate and process the response of Q&A model.mp4
07:31
1 -Select the model to implement the chatbot.mp4
02:27
2 -Provisiong an space with GPU.mp4
06:04
3 -Create the Authentication Token.mp4
03:35
4 -Setup Llama model.mp4
07:36
5 -Process and tokenize the inputs.mp4
07:01
6 -Define terminators and generate the output of the model.mp4
07:30
7 -Create the UI of the chatbot.mp4
06:37
8 -Deploy your LLM chatbot.mp4
09:21
9 - Repository of our Chatbot.html
1 - Course Farewell.html
More details
Course Overview
This crash course teaches you to build and deploy ChatGPT-like chatbots using Python, NLP, and cutting-edge LLMs like Llama 3.1 and BERT in just 2 hours. Master transformer architectures and practical implementations through hands-on projects.
What You'll Learn
- Implement Sentiment Analysis and Named Entity Recognition models
- Deploy Question-Answering systems with AutoModel and AutoTokenizer
- Create and deploy a fully functional LLM chatbot with GPU support
Who This Is For
- Python developers wanting to expand into AI chatbots
- NLP enthusiasts seeking hands-on LLM experience
- Tech professionals aiming to deploy production-ready chatbots
Key Benefits
- From zero to deployed chatbot in record time (2 hours)
- Work with open-source models like Llama 3.1 and BERT
- Includes practical notebooks for Sentiment Analysis, NER, and Q&A
Curriculum Highlights
- LLM Fundamentals: Architecture & Task Types
- Transformers: Sentiment Analysis, NER, Q&A Models
- End-to-End Chatbot: GPU Provisioning to UI Deployment
Focused display
Category
- language english
- Training sessions 18
- duration 1:40:23
- Release Date 2025/06/03
