How do LLMs work? #largelanguagemodels

LLMs are AI systems that predict the next word or token in a sequence, powered by neural networks and transformer architecture. Start Free Testing: https://accounts.testmuai.com/register?utm_source=YouTube&utm_medium=Organic&utm_campaign=Oct07&utm_term=lHaVRAeB224&utm_content=LT_Sign_Up Trained on massive datasets, Large Language Models analyze patterns and adjust predictions over time, learning through repetition. LLMs help with everything from predicting test failures in software to personalizing social media recommendations. 𝐇𝐨𝐰 𝐋𝐋𝐌𝐬 𝐋𝐞𝐚𝐫𝐧: 𝐃𝐚𝐭𝐚 𝐈𝐧𝐠𝐞𝐬𝐭𝐢𝐨𝐧: Trained on massive datasets (trillions of words) from the Internet, books, and more. 𝐓𝐨𝐤𝐞𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Text is broken into millions of tokens (words or parts of words). 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐏𝐚𝐭𝐭𝐞𝐫𝐧𝐬: The model predicts the next token and adjusts its parameters when it makes a mistake. 𝐑𝐞𝐩𝐞𝐭𝐢𝐭𝐢𝐨𝐧 𝐭𝐨 𝐄𝐯𝐨𝐥𝐯𝐞: Through trial and error, the model refines its understanding and improves accuracy over time. These models generate human-like responses by processing tokens and refining their predictions in milliseconds! #LLM #AI #MachineLearning #DeepLearning #ArtificialIntelligence #TechExplained #YouTubeShorts HOME: https://bit.ly/4uOCPKK BLOG: https://bit.ly/4nlq87I LINKEDIN: https://bit.ly/438HIm2 TWITTER: https://bit.ly/4eOI74s GITHUB: https://bit.ly/4ucseJI NEWSLETTER: https://bit.ly/4dI8Y0S CERTIFICATIONS: https://bit.ly/4tVdw9j