📹 VIDEO TITLE 📹 How LLMs use Vector Databases ✍️VIDEO DESCRIPTION ✍️ AI / LLM Concepts….. In this video, we will explore how LLM use vector databases and the practical use cases. We cover why using a Relational Database to store vectors does not scale and why Vector databases are perfect for these usecases. We cover the features Vector Databases have that enable to perform in ML and LLM use-cases. If you're curious about the power of vector databases and LLMs, this is the video for you! 🧑💻GITHUB URL 🧑💻 No code samples for this video 📽OTHER NEW MACHINA VIDEOS REFERENCED IN THIS VIDEO 📽 What are the LLM’s Top-P and TopK ? - https://youtu.be/aDmp2Uim0zQ What is the LLM’s Temperature ? - https://youtu.be/_YTnZOYxSjE What is LLM Prompt Engineering ? - https://youtu.be/s_8Ba_UJkcA What is LLM Tokenization? - https://youtu.be/q77s1gurXYU What is the LangChain Framework? - https://youtu.be/dS5H-bjItqE CoPilots vs AI Agents - https://youtu.be/zogst5DpBt4 What is an AI PC ? - https://youtu.be/yTgy11yPy78 What are AI HyperScalers? - https://youtu.be/YH9b7-BfSjQ What is LLM Fine-Tuning ? - https://youtu.be/D-1Bk-NxiBI What is LLM Pre-Training? - https://youtu.be/P7emqEtkiSk AI ML Training versus Inference - https://youtu.be/lsPucobtdDk What is meant by AI ML Model Training Corpus? - https://youtu.be/f0s2D-XvNbo What is AI LLM Multi-Modality? - https://youtu.be/8rr8jKKt7q4 What is an LLM ? - https://youtu.be/pMZd3wLabTk Predictive versus Generative AI ? - https://youtu.be/70EiOHDUBus What is a Foundation Model ? - https://youtu.be/hdCuyPkaRBI What is AI, ML, Neural Networks and Deep Learning? - https://youtu.be/n1BfJ6Qcib4 AWS Lambda + Amazon Polly #001100 - https://youtu.be/idc0Cn0SfO0 AWS Lambda + Amazon Rekognition #001102 - https://youtu.be/Va-5yiFzkys AWS Lambda + Amazon Comprehend #001103 - https://youtu.be/0V2v6ShzMN0 Why can’t you have AI driven Text Extraction? #001106 - https://youtu.be/5YDk1RJAKUI Which Amazon ML / AI Service should you Use ? #001110 - https://youtu.be/U7zCUs4SDtk Why can’t I do Generative AI in AWS? #001112 - https://youtu.be/v4EgffMvMU0 Why care about Foundation Models? #001113 https://youtu.be/3xKmYa-PllE Why play in Amazon Bedrock playgrounds? #001114 https://youtu.be/pmY5Iz4oTxo Get a ChatGPT API Key Now! #001000 - https://youtu.be/_mk1HtP0E6o AWS Lambda + ChatGPT API #001001 - https://youtu.be/nOqspIqHZfk Lambda + ChatGPT + DynamoDb #001002 - https://youtu.be/OVzY5PSecgc Your own Custom AWS Website + ChatGPT API (part 1 of 5) #001003 - https://youtu.be/yXWwwSeQSH4 Your own Custom AWS Website + ChatGPT API (part 2 of 5) #001004 - https://youtu.be/IadVLbWGs-g Your own Custom AWS Website + ChatGPT API (part 3 of 5) #001005 - https://youtu.be/-wKy9GMM5sA Your own Custom AWS Website + ChatGPT API (part 4 of 5) #001006 - https://youtu.be/iC76sg_VoJ8 Your own Custom AWS Website + ChatGPT API (part 5 of 5) #001007 - https://youtu.be/jkWNf-LqjmI 🔠KEYWORDS 🔠 #LLM #LargeLanguageModel #ML #MachineLearning #LinearAlgebra #AI #ArtificialIntelligence #DeepLearning #ML #MachineLearning #NeuralNetworks #Explained #Mathematics #Vector #Vectors #VectorMath #Vectordatabase #CosineSimilarity #EuclideanDistance #DotProduct #InnerProduct #VectorIndex #Embedding #SimilaritySearch #distancemetric #EmbeddingLayer