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001. Getting Started with Prompt Template and Chat Prompt Template.en.srt |
32.16Кб |
001. Getting Started with Prompt Template and Chat Prompt Template.mp4 |
89.26Мб |
001. Introduction to the Course.en.srt |
20.15Кб |
001. Introduction to the Course.mp4 |
39.31Мб |
001. Working with SQL Data - RAG App.en.srt |
15.54Кб |
001. Working with SQL Data - RAG App.mp4 |
39.82Мб |
002. Introduction to Large Language Models.en.srt |
48.43Кб |
002. Introduction to Large Language Models.mp4 |
73.49Мб |
002. RAG with Conversational Memory.en.srt |
31.37Кб |
002. RAG with Conversational Memory.mp4 |
102.11Мб |
002. Working with Agents and Tools.en.srt |
58.39Кб |
002. Working with Agents and Tools.mp4 |
154.07Мб |
003. Agents and Tools - Advanced.en.srt |
27.42Кб |
003. Agents and Tools - Advanced.mp4 |
73.79Мб |
003. Create a CV Upload and CV Search Application.en.srt |
30.72Кб |
003. Create a CV Upload and CV Search Application.mp4 |
82.28Мб |
003. Introduction to LangChain Framework.en.srt |
33.78Кб |
003. Introduction to LangChain Framework.mp4 |
63.84Мб |
004. Create a Website Query Conversational Chatbot - Project.en.srt |
68.56Кб |
004. Create a Website Query Conversational Chatbot - Project.mp4 |
191.10Мб |
004. Document Loaders and Splitters.en.srt |
59.22Кб |
004. Document Loaders and Splitters.mp4 |
159.08Мб |
004. Introduction to Prompts.en.srt |
36.64Кб |
004. Introduction to Prompts.mp4 |
67.63Мб |
005. Analysis of Structured Data from a CSVExcel using Natural Language.en.srt |
33.67Кб |
005. Analysis of Structured Data from a CSVExcel using Natural Language.mp4 |
92.82Мб |
005. Environment Setup.en.srt |
27.05Кб |
005. Environment Setup.mp4 |
59.53Мб |
005. Working with Output Parsers.en.srt |
24.80Кб |
005. Working with Output Parsers.mp4 |
63.35Мб |
006. Code Demo - Simple ways of forming a Prompt and using it to Chain with a Model.en.srt |
28.12Кб |
006. Code Demo - Simple ways of forming a Prompt and using it to Chain with a Model.mp4 |
73.03Мб |
006. Invoice Extraction RAG Application.en.srt |
33.82Кб |
006. Invoice Extraction RAG Application.mp4 |
85.90Мб |
006. Language Embeddings and Vector Databases.en.srt |
57.82Кб |
006. Language Embeddings and Vector Databases.mp4 |
123.93Мб |
007. Our First RAG Application using a Vector DB.en.srt |
23.53Кб |
007. Our First RAG Application using a Vector DB.mp4 |
62.80Мб |
008. Chain Types - Stuff, Map-Reduce and Refine.en.srt |
26.29Кб |
008. Chain Types - Stuff, Map-Reduce and Refine.mp4 |
74.35Мб |
009. LCEL - LangChain Expression Language.en.srt |
7.49Кб |
009. LCEL - LangChain Expression Language.mp4 |
17.35Мб |
agents-deep.ipynb |
17.67Кб |
agents-deep.ipynb |
17.67Кб |
agents-deep.ipynb |
17.67Кб |
agents-tools.ipynb |
20.29Кб |
agents-tools.ipynb |
20.29Кб |
agents-tools.ipynb |
20.29Кб |
attrition-analysis.py |
1.20Кб |
attrition-analysis.py |
1.20Кб |
attrition-analysis.py |
1.20Кб |
conversational_chain.py |
3.06Кб |
conversational_chain.py |
3.06Кб |
conversational_chain.py |
3.06Кб |
customer.csv |
72.74Кб |
cv-summary.py |
3.33Кб |
cv-summary.py |
3.33Кб |
cv-summary.py |
3.33Кб |
document-chains.ipynb |
28.11Кб |
document-chains.ipynb |
28.11Кб |
document-chains.ipynb |
28.11Кб |
Environment+Setup.pdf |
928.72Кб |
Environment+Setup.pdf |
928.72Кб |
First-LC.py |
1.95Кб |
First-LC.py |
1.95Кб |
First-LC.py |
1.95Кб |
HR-Employee-Attrition.csv |
222.63Кб |
HR-Employee-Attrition.csv |
222.63Кб |
HR-Employee-Attrition.csv |
222.63Кб |
hrpc-FAISS-upload.py |
3.04Кб |
hrpc-FAISS-upload.py |
3.04Кб |
hrpc-FAISS-upload.py |
3.04Кб |
hrpc-query.py |
3.63Кб |
hrpc-query.py |
3.63Кб |
hrpc-query.py |
3.63Кб |
invoice_1001329.pdf |
22.74Кб |
invoice_1001329.pdf |
22.74Кб |
invoice_1001329.pdf |
22.74Кб |
invoice_3452334.pdf |
21.74Кб |
invoice_3452334.pdf |
21.74Кб |
invoice_3452334.pdf |
21.74Кб |
invoice-extraction.py |
1019б |
invoice-extraction.py |
1019б |
invoice-extraction.py |
1019б |
invoiceutil.py |
2.90Кб |
invoiceutil.py |
2.90Кб |
invoiceutil.py |
2.90Кб |
LICENSE |
1.04Кб |
LLMChain.py |
628б |
LLMChain.py |
628б |
LLMChain.py |
628б |
loaders-splitters.ipynb |
1.63Мб |
loaders-splitters.ipynb |
1.63Мб |
loaders-splitters.ipynb |
1.63Мб |
output-parsers.ipynb |
11.12Кб |
output-parsers.ipynb |
11.12Кб |
output-parsers.ipynb |
11.12Кб |
prompts-demo.ipynb |
11.90Кб |
prompts-demo.ipynb |
11.90Кб |
prompts-demo.ipynb |
11.90Кб |
README.md |
54б |
retreival_chain.py |
2.22Кб |
retreival_chain.py |
2.22Кб |
retreival_chain.py |
2.22Кб |
sale.csv |
30.50Кб |
sample.json |
169б |
sample.txt |
1.09Кб |
Software-Engineer-CV.docx |
36.16Кб |
Software-Engineer-CV.docx |
36.16Кб |
Software-Engineer-CV.docx |
36.16Кб |
Software-Engineer-CV.pdf |
169.50Кб |
Software-Engineer-CV.pdf |
169.50Кб |
Software-Engineer-CV.pdf |
169.50Кб |
SQL-RAG-Demo.ipynb |
6.83Кб |
SQL-RAG-Demo.ipynb |
6.83Кб |
SQL-RAG-Demo.ipynb |
6.83Кб |
Using+Google+Gemini+Model.pdf |
182.27Кб |
wget-setup-windows.pdf |
59.78Кб |