Guided Demos

Short, single-purpose walkthroughs that each demonstrate one technique end to end: prompting strategies, LangChain components, fine-tuning, retrieval, evaluation and image generation.

These are the fastest way to see a technique work before you commit to a full project. Read the corresponding book chapter for the theory, then run the demo to watch it behave.

Course 6 — Advanced Generative AI

Implementing A Variational Autoencoder (vae) With Tensorflow For Image Generation Using The Mnist Dataset

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Generating Fake Images With Generative Adversarial Networks (gans)

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Text Generation

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Building A Text Generation Pipeline With Langchain And Hugging Face's Flan T5 Large Model

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Zero Shot Prompting

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Few Shot Prompting

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Chain Of Thoughts

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Self Consistency

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Tree Of Thoughts

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Using Jinja2 Template Format

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Using F String Template Format

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Creating A Custom Template

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Dynamic Message Generation In Langchain

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Langchain Model Prompt Outputparser

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Langchain Loader Splitter Embeddings Vectorstore

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Langchain Sequential Chain

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Langchain Memory

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Langchain Agents

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Run Llm Falcon Locally

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Data Preparation

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Generate Images With Dall·e 2 And The Openai API

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Falcon Fine Tuning

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Rouge Benchmark

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Text Summarizer

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Multipdf Q&A Retriever With Chromdb And Langchain

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Sentiment Analysis

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