6 Free Practical LLMs Notebooks to Get Your Hands Started with LLM Applications

Author(s): Youssef Hosni

Originally published on Towards AI.

Embark on an exhilarating journey into the limitless possibilities of Large Language Models (LLMs) with this article, offering an exclusive lineup of six free and hands-on notebooks.

Dive into the fascinating universe of LLM applications, from crafting apps with visual acuity, auditory recognition, and speech generation to developing a cutting-edge movie recommendation system. Navigate the intricacies of vector data manipulation and master the art of semantic search using OpenAI Embedding Creation and Question-Answering capabilities.

Take your skills a step further by launching open-source applications with LangChain, gaining insights into collaborative development. Cap off your adventure by constructing a Resume Evaluator using OpenAI, showcasing the practical prowess of LLMs in professional settings.

This curated collection of free notebooks is your gateway to unlocking the immense potential of Large Language Models across diverse real-world applications. Get ready for an engaging exploration that combines practicality with innovation!

Build LLM Apps that Can See Hear SpeakBuilding Movie RecommendationWorking with Vector DataSemantic Search with OpenAI Embedding CreationSemantic Search with OpenAI QALaunch Open-Source Apps with LangChainBuilding Resume Evaluator using OpenAI

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Published via Towards AI