Linkedin - Hands-On Generative AI - Applying Your Tabular Data With ChatGPT, GPT-4, and LangChain --> [ FreeCourseWeb ]
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| Torrent Hash : | C253C565D91D32799ACF027EC8A9AE3EBC1898AD |
| Torrent Added : | 10 months ago in Other - Other |
| Torrent Size : | 182.94 MB |
Linkedin - Hands-On Generative AI - Applying Your Tabular Data With ChatGPT, GPT-4, and LangChain --> [ FreeCourseWeb ]
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Torrent File Content (49 files)
[ FreeCourseWeb.com ] Linkedin - Hands-On Generative AI - Applying Your Tabular Data With ChatGPT, GPT-4, and LangChain
Get Bonus Downloads Here.url -
Get Bonus Downloads Here.url -
183 bytes
~Get Your Files Here !
01 - Introduction/01 - Talk to your data using GPT models and LangChain.mp4 -
01 - Introduction/01 - Talk to your data using GPT models and LangChain.mp4 -
2.62 MB
01 - Introduction/01 - Talk to your data using GPT models and LangChain.srt -
994 bytes
01 - Introduction/02 - Introduction to course materials.mp4 -
2.29 MB
01 - Introduction/02 - Introduction to course materials.srt -
2.01 KB
02 - 1. Data Preparation with LangChain/01 - Set up the development environment.mp4 -
11.34 MB
02 - 1. Data Preparation with LangChain/01 - Set up the development environment.srt -
3.6 KB
02 - 1. Data Preparation with LangChain/02 - Load data into LangChain.mp4 -
8.91 MB
02 - 1. Data Preparation with LangChain/02 - Load data into LangChain.srt -
4.05 KB
02 - 1. Data Preparation with LangChain/03 - Split documents into smaller chunks.mp4 -
9.2 MB
02 - 1. Data Preparation with LangChain/03 - Split documents into smaller chunks.srt -
4.14 KB
02 - 1. Data Preparation with LangChain/04 - Vectorstores and embedding.mp4 -
13.14 MB
02 - 1. Data Preparation with LangChain/04 - Vectorstores and embedding.srt -
4.66 KB
02 - 1. Data Preparation with LangChain/05 - Retrieve relevant chunks.mp4 -
12.29 MB
02 - 1. Data Preparation with LangChain/05 - Retrieve relevant chunks.srt -
4.04 KB
03 - 2. NLP Use Cases Using LangChain and GPT/01 - RAG for question answering.mp4 -
17.38 MB
03 - 2. NLP Use Cases Using LangChain and GPT/01 - RAG for question answering.srt -
5.83 KB
03 - 2. NLP Use Cases Using LangChain and GPT/02 - Custom prompt template.mp4 -
14.08 MB
03 - 2. NLP Use Cases Using LangChain and GPT/02 - Custom prompt template.srt -
5.89 KB
03 - 2. NLP Use Cases Using LangChain and GPT/03 - Entity detection and recognition.mp4 -
19.54 MB
03 - 2. NLP Use Cases Using LangChain and GPT/03 - Entity detection and recognition.srt -
5.88 KB
03 - 2. NLP Use Cases Using LangChain and GPT/04 - Output in structured data.mp4 -
22.23 MB
03 - 2. NLP Use Cases Using LangChain and GPT/04 - Output in structured data.srt -
5.31 KB
03 - 2. NLP Use Cases Using LangChain and GPT/05 - Sentiment analysis.mp4 -
16.2 MB
03 - 2. NLP Use Cases Using LangChain and GPT/05 - Sentiment analysis.srt -
6.65 KB
03 - 2. NLP Use Cases Using LangChain and GPT/06 - Text summarization with a focus.mp4 -
15.17 MB
03 - 2. NLP Use Cases Using LangChain and GPT/06 - Text summarization with a focus.srt -
5.88 KB
04 - 3. Async to Speed Up on Large Dataset/01 - Async to speed up the run.mp4 -
15.33 MB
04 - 3. Async to Speed Up on Large Dataset/01 - Async to speed up the run.srt -
5.88 KB
05 - Conclusion/01 - Thank you.mp4 -
1.33 MB
05 - Conclusion/01 - Thank you.srt -
1.21 KB
Bonus Resources.txt -
386 bytes
Ex_Files_Hands_On_Gen_AI_Tabular_Data/Exercise Files/01_01_setting_up.ipynb -
10.67 KB
Ex_Files_Hands_On_Gen_AI_Tabular_Data/Exercise Files/01_02_loading_data.ipynb -
27.04 KB
Ex_Files_Hands_On_Gen_AI_Tabular_Data/Exercise Files/01_03_split_documents.ipynb -
32.23 KB
Ex_Files_Hands_On_Gen_AI_Tabular_Data/Exercise Files/01_04_vectorstore_and_embedding.ipynb -
37.36 KB
Ex_Files_Hands_On_Gen_AI_Tabular_Data/Exercise Files/01_05_retrieval.ipynb -
42.56 KB
Ex_Files_Hands_On_Gen_AI_Tabular_Data/Exercise Files/02_01_question_answering.ipynb -
62.93 KB
Ex_Files_Hands_On_Gen_AI_Tabular_Data/Exercise Files/02_02_custom_prompt_template.ipynb -
78.85 KB
Ex_Files_Hands_On_Gen_AI_Tabular_Data/Exercise Files/02_03_name_entity_recognition.ipynb -
58.84 KB
Ex_Files_Hands_On_Gen_AI_Tabular_Data/Exercise Files/02_04_output_in_structured_data.ipynb -
149.28 KB
Ex_Files_Hands_On_Gen_AI_Tabular_Data/Exercise Files/02_05_sentiment_analysis.ipynb -
43.56 KB
Ex_Files_Hands_On_Gen_AI_Tabular_Data/Exercise Files/02_06_summarization.ipynb -
156.41 KB
Ex_Files_Hands_On_Gen_AI_Tabular_Data/Exercise Files/03_01_async_to_speed_up.ipynb -
629.05 KB
Ex_Files_Hands_On_Gen_AI_Tabular_Data/Exercise Files/Datasets/california_tour_package.csv -
30.7 KB
Ex_Files_Hands_On_Gen_AI_Tabular_Data/Exercise Files/Datasets/conference_session_info.csv -
11.74 KB
Ex_Files_Hands_On_Gen_AI_Tabular_Data/Exercise Files/Datasets/customer_review.csv -
15.84 KB
Ex_Files_Hands_On_Gen_AI_Tabular_Data/Exercise Files/Datasets/env.example -
50 bytes
Ex_Files_Hands_On_Gen_AI_Tabular_Data/Exercise Files/Datasets/fictitious_movie_data.csv -
475.22 KB
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