Comparing Different Methods of Using an LLM #llmwithav #learnwithav #llm #datascience

The four essential methods for building and using LLM applications—Prompt Engineering, RAG, Finetuning, and Training from Scratch—are intricate and require careful consideration. First, Prompt Engineering involves crafting precise prompts to guide LLMs in generating optimal outputs. Next, Retrieval-Augmented Generation (RAGs) merges LLMs with retrieval systems to enhance responses with up-to-date information. Then, Finetuning customizes pre-trained models to fit specific tasks and datasets. Lastly, explore the complexities of Building LLMs from Scratch, understanding the challenges and rewards of training models from the ground up. Each method varies in cost, time, and computational power.

#openai #datascience #gpt #gpt4 #chatgpt #ai #gemini #google #datascience #python #coding #datascientist #deeplearning #analyticsvidhya