Episode

Quick Start Guide to LLMs: Hands-On with Large Language Models

Podcast
Quick Start Guide to LLMs: Hands-On with Large Language Models
Published
Nov 5, 2024
Duration seconds
1295
Processing state
not_requested
Canonical source
https://podcasters.spotify.com/pod/show/anand-v25/episodes/Quick-Start-Guide-to-LLMs-Hands-On-with-Large-Language-Models-e2qj35e
Audio
https://anchor.fm/s/fd327ff0/podcast/play/93997678/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2024-10-5%2F389287470-44100-2-06f661ed2d3db.m4a
JSON
/v1/public/podcasts/quick-start-guide-to-llms-hands-on-with-large-language-models-7089401/episodes/quick-start-guide-to-llms-hands-on-with-large-language-models
Markdown
/podcast/quick-start-guide-to-llms-hands-on-with-large-language-models-7089401/quick-start-guide-to-llms-hands-on-with-large-language-models.md

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Summary

A comprehensive overview of how to understand, train, and deploy large language models (LLMs), powerful AI systems capable of processing and generating human-like text. The guide begins by defining LLMs and their key concepts, then covers setting up an environment, collecting and preparing training data, selecting appropriate LLM architectures, and training the model itself. Further chapters explore how to fine-tune pre-trained LLMs for specific tasks, deploy these models for real-world applications,