The Satyricon

LLMs in Production is the comprehensive guide to LLMs you’ll need to effectively guide one to production usage. It takes you through the entire lifecycle of an LLM, from initial concept, to creation and fine tuning, all the way to deployment. You’ll discover how to effectively prepare an LLM dataset, cost-efficient training techniques like LORA and RLHF, and how to evaluate your models against industry benchmarks. Learn to properly establish deployment infrastructure and address common challenges like retraining and load testing. Finally, you’ll go hands-on with three exciting example projects: a cloud-based LLM chatbot, a Code Completion VSCode Extension, and deploying LLM to edge devices like Raspberry Pi. By the time you’re done reading, you’ll be ready to start developing LLMs and effectively incorporating them into software. welcome 1_Word’s_Awakening:_Why_Large_Language_Models_Have_Captured_Attention 2_Large_Language_Models:_A_deep_dive_into_language_modeling 3_Large_Language_Model_Operations:_Building_a_platform_for_LLMs 4_Data_Engineering_for_Large_Language_Models:_Setting_up_for_success 5_Training_Large_Language_Models:_How_to_generate_the_generator 6_Large_Language_Models_in_Production:_A_Practical_Guide