Large language models, which are the AI algorithms that power chat-bots like ChatGPT, are powerful because they are trained on enormous amounts of publicly available data from the inter-net. While they are capable of summarizing, creating, predicting, translating and synthesizing text and other con-tent, they can only do so on the data they have been trained on, at a specific point in time.
That's why businesses are looking to methods like retrieval-augmented generation, or RAG, and fine-tuning to bridge the gap between the general knowledge these LLMs have and the up-to-date and specific knowledge that makes them useful for enter-prises. #LargeLanguageModels
#AI
#ChatBots
#ChatGPT
#ArtificialIntelligence
#MachineLearning
#NaturalLanguageProcessing
#DataTraining
#RAG
#RetrievalAugmentedGeneration
#FineTuning
#EnterpriseAI
#AIinBusiness
#TechInnovation
#DataScience