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Build AI Chatbots with Open-Source LLMs, LangChain, and Streamlit
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Introduction to Building Chatbots
Overview of the CourseA Recap on Artificial IntelligenceQuiz: Introduction to Building Chatbots
Understanding Transformers
Overview of TransformersTokenizing TextEmbedding the Tokenized TextApplying Positional Encoding and Embedding with TransformersQuiz: Transformers
Understanding Large Language Models (LLMs)
Overview of Large Language Models (LLMs)Exploring Open-Source LLMsDownstream Task: Text ClassificationDownstream Task: Table Question AnsweringDownstream Task: TranslationDownstream Task: SummarizationDownstream Task: Sentence SimilarityDownstream Task: Text InferenceQuiz: LLMs
Data Collection and Preparation
Manipulating Data: System WorkflowManipulating Data: Libraries WorkflowQuiz: Data Manipulation
Optimizing RAG Workflows with LangChain
Introduction to RAGOverview of LangChainRetrieval Strategies: Web and Multimedia Document LoadersRetrieval Strategies: Common Document LoadersRetrieval Strategies: Data ChunkingRetrieval Strategies: Embedding and Vector StoresRetrieval Strategies: Data Chunks Retrievers BaseRetrieval Strategies: RetrieversQuiz: LangChain Framework
Prompt Engineering and Retrieval Chains
Prompting Strategies: Direct and ContextualPrompting Strategies: Structured ReasoningPrompting Strategies: Prompt TemplatesComposition Strategies: Chain Constructor ExplanationComposition Strategies: Chain Constructor ImplementationQuiz: Prompts and Chains
Chatbot User Interface Development with Streamlit
Introduction to Streamlit: Basic ConceptsIntroduction to Streamlit: Advanced ConceptsQuiz: Streamlit Framework
Chatbot Integration and Evaluation
Integrating Chatbots with the Streamlit InterfaceEvaluating ChatbotsQuiz: Chatbot Integration and Evaluation
Capstone Project
Capstone Project: ObjectiveCapstone Project: InterfaceCapstone Project: FunctionsCapstone Project: RetrieverCapstone Project: Generator
Conclusion and Future Developments
Recap and Potential Enhancement of the Chatbot

Prompting Strategies: Structured Reasoning

Learn about various prompt engineering techniques using chains.

We'll cover the following
  • Structured reasoning prompting techniques
    • Chain-of-thoughts prompting (CoT)
    • Example
    • Tree-of-thoughts prompting (ToT)
    • Example
    • Graph-of-thoughts prompting (GoT)
    • Example
    • Thread of thoughts prompting (ThoT)
    • Example
    • Chain-of-table prompting (CoTable)
    • Example
    • Chain-of-verification prompting (CoV)
    • Example
    • Chain-of-note prompting (CoN)
    • Example
    • Chain-of-knowledge prompting (CoK)
    • Example
    • Chain-of-code prompting (CoC)
    • Example
  • Challenges and Considerations

Structured reasoning prompting techniques

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