Python and (Large Language Model) LLM for teaching and research

Content:
00:06 Introduction to Python and LLM for Teaching and Research
01:25 Locating Project Documentation
02:46 Project Index
03:58 Basics of Python and developing LLM for teaching and research
04:43 Basic data Types and Operators
06:53 Operators
07:42 Working with Strings
10:16 Lists in Python
12:01 Control Flow
13:20 For Loop
14:38 While Loop
16:19 Defining Functions in Python
18:02 Importing Modules
19:12 Simple Q&A Chat-bot Model using Llama 3
23:09 Executing Llama 3 with general questions inference training
25:41 LLM API's
28:13 Limitations of LLM
29:37 LLM Output Overview
29:39 RAG with PCAOB Audit Standards
33:13 Load Llama Parse API
35:29 Document Parsing
36:26 Text Splitters and Vector Encoding
38:41 Use case of LLM: Meta earnings

Description:
This video offers a comprehensive and engaging introduction to harnessing the power of Python and Large Language Models (LLMs) like Llama 3 for teaching, research, and practical applications. Dive into the fundamentals of Python programming, from data types and operators to mastering strings, lists, and control flow with loops and functions. Watch step-by-step as we build a simple yet powerful Q&A chatbot model using Llama 3, and see it in action with real-world general question inference. Explore the vast potential of LLM APIs, learn how to tackle their limitations, and discover advanced topics like document parsing, vector encoding, and Retrieval-Augmented Generation (RAG) for applications like PCAOB audit standards. With practical use cases, including analyzing Meta's earnings reports, this video equips you with the knowledge and tools to leverage LLMs for groundbreaking academic research, insightful business analysis, and innovative problem-solving. Don’t miss out on this exciting journey into the future of AI!

#llm #python #audit