A Defacto Guide on Building Generative AI Apps with the Google PaLM API

This page summarizes the projects mentioned and recommended in the original post on /r/learnmachinelearning
cohere cohere-ai huggingface llm openai

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  • Book-Genre-Prediction

    The aim of this project is to apply the principles of text mining on a piece of literary text, and categorize it into the genre into which it best fits.

    • We will explore this task using a subset of the CMU Book Summary dataset. Each row in the dataset has a book name, genre and summary (between 500 - 5000 characters) column. Our goal is to extract a list of characters in each summary, their name, actions, gender and finally their relevance given a user’s profile.

  • llmx

    An API for Chat Fine-Tuned Large Language Models (llm)

    • ⚠️ Alternating Message Authors: the api strictly expects alternating authors for chat based messages. In llmx, I implement a simple check for consecutive messages and merge them with a newline character.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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