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

Page: https://stenobird.com/podcast/quick-start-guide-to-llms-hands-on-with-large-language-models-7089401
Text version: https://stenobird.com/podcast/quick-start-guide-to-llms-hands-on-with-large-language-models-7089401.md
RSS feed: https://anchor.fm/s/fd327ff0/podcast/rss
Official site: https://podcasters.spotify.com/pod/show/anand-v25
Author: Anand V
Episodes: 1

## Resource

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, and evaluate their performance using various metrics

## Machine-readable

JSON: https://stenobird.com/v1/public/podcasts/quick-start-guide-to-llms-hands-on-with-large-language-models-7089401
Markdown: https://stenobird.com/podcast/quick-start-guide-to-llms-hands-on-with-large-language-models-7089401.md

## Episodes
- [Quick Start Guide to LLMs: Hands-On with Large Language Models](https://stenobird.com/podcast/quick-start-guide-to-llms-hands-on-with-large-language-models-7089401/quick-start-guide-to-llms-hands-on-with-large-language-models) — 2024-11-05T10:28:42+00:00

## Actions

Episode pages expose an explicit `request_transcript` action. A page view does not automatically enqueue transcription.