Spring AI: Seamlessly Integrating AI into Enterprise Java Applications
Integrate AI into Java enterprise apps using Spring AI. Learn key concepts, develop AI applications rapidly, and explore practical use cases like semantic search and RAG patterns.
Demystifying LLMs and Their Security Implications - A Business-Friendly Overview
Explore GenAI and LLMs, understanding their operations, security implications, and deployment scenarios. Learn to manage risks, prevent data leakage, and implement practical strategies for safe AI integration.
Introduction to LangChain and Retrieval Augmented Generation (RAG)
Explore LangChain's core concepts and build LLM-based applications using Retrieval Augmented Generation for document-based question answering.
Clasificación de Violencia Mediante Análisis de Audio y Embeddings
Análisis de audio y texto para clasificar violencia en 5 niveles, utilizando redes neuronales y embeddings. Proyecto innovador que combina procesamiento de señales y semántica para evaluación precisa.
LLMOps with Langchain, OpenAI, and Databricks - Creating a Retrieval QA Chain
Crea un chain Retrieval QA con Langchain, Faiss y OpenAI. Aprende a salvar componentes en MLFLOW Databricks y realizar inferencias usando la chain creada.
Instalación y Uso de Ollama para Modelos de Lenguaje - Data Science y Machine Learning
Aprende a instalar y utilizar Ollama, implementando modelos como Llama2 o Mistral 7B para generar texto, chatear y crear embeddings.
Document Similarity: Langchain, Ollama Mistral 7B, and Chroma in Spanish
Aprende a clasificar documentos usando Langchain, Ollama con Mistral 7B y Chromadb para análisis de similitud en español.
Document Similarity: Langchain Sentence Transformers and Chroma - Spanish
Aprende a clasificar documentos usando Langchain con Sentence Transformers de HuggingFace y Chromadb. Explora técnicas avanzadas de procesamiento de lenguaje natural y similitud documental.
Document Similarity: Langchain OpenAI Embeddings and Neo4J in Spanish
Aprende a clasificar documentos utilizando Langchain con OpenAI y Neo4J. Explora técnicas avanzadas de procesamiento de lenguaje natural y bases de datos gráficas.
Llama 2, Ollama and Pinecone: Searching in Vector Stores
Instala y utiliza OLLAMA y Pinecone para crear embeddings con LLama2 7B, subir contenido a la base de vectores y realizar consultas eficientes.
Grafos Expansores - Introdução e Aplicações
Explore grafos expansores: definição, aplicações, propriedades e resultados. Aprenda sobre sequências, conectividade e o problema principal desses grafos matemáticos.
VertexAI Embeddings, Pinecone, y Langchain - Creación de un Componente de Recuperación
Aprende a crear un componente de recuperación utilizando VertexAI Embeddings, Pinecone y Langchain para aplicaciones de aprendizaje automático y ciencia de datos.
Unlock the Power of Embeddings with Vector Search - Future of Data & AI - Data Science Dojo
Explore embeddings and vector search for unstructured data analysis. Learn to build semantic text and reverse image search systems using Milvus, with real-world applications and best practices.
Vector Databases Explained - Insights, Applications, and Pinecone Tutorial
Explore vector databases, embeddings, and advanced search techniques. Learn how to leverage Pinecone for powerful vector search solutions, with real-world applications and hands-on experience.
Enterprise LLM Applications - Not Just a Technological Challenge
Explore prevalent approaches and architecture for building custom large language model applications, including tools and technologies for enterprise use cases and challenges.
The 5 Levels of Text Splitting for Retrieval
Explore five text splitting techniques for efficient information retrieval, from basic character splits to advanced semantic and agentic methods, enhancing your data processing capabilities.
Mastering Multilingual Recommender Systems - Grandmaster Series
Explore NVIDIA Merlin team's winning approach in Amazon KDD Cup 2023, featuring innovative techniques for multilingual e-commerce product recommendations and next product title generation.
Teaching Neural Networks a Sense of Geometry
Explore Topological Data Analysis (TDA) and its intersection with machine learning to enhance neural networks' geometric reasoning abilities across various applications.
Document Similarity Using Langchain, OpenAI Embeddings, and Neo4J
Explore document similarity using Langchain, Neo4j, and OpenAI embeddings. Learn practical techniques for machine learning and data science applications.
Waists, Widths and Symplectic Embeddings
Explore geometric measures of manifolds and their applications to symplectic embeddings. Discover area estimates for minimal submanifolds and quantitative symplectic camels in this advanced mathematics talk.
Embeddings and Tverberg-Type Problems: New Algorithms and Undecidability Results
Explore computational topology: algorithmic embeddability, undecidability in higher dimensions, and polynomial-time decidability of r-Tverberg problem in metastable range.