
Aprende a construir llamadas a APIs Web utilizando Langchain y OpenAI para potenciar tus proyectos de ciencia de datos y aprendizaje automático.

Aprende a utilizar Langchain con OpenAI para realizar resúmenes de texto y responder preguntas en español.

Desarrolla un componente RAG utilizando Semantic Kernel de Microsoft, Chroma como almacén vectorial y modelos de OpenAI para mejorar aplicaciones de IA.

Explora el Semantic Kernel SDK de Microsoft para integrar modelos de lenguaje con C#, Python y Java. Aprende a combinar IA con programación convencional.

Crea imágenes con Dall-e 3 usando Semantic Kernel de Microsoft y C#. Aprende a interactuar con modelos de IA avanzados para generar arte visual.

Explore practical AI tools for red, blue, and purple teams in cybersecurity. Learn strategies to empower your security team with AI-driven solutions and create effective prompts for various security tasks.

Explore practical tools leveraging LLMs to scale security teams, streamline workflows, and enhance decision-making in complex environments. Gain insights on automating tasks and improving security processes.

Master the process of finding validated startup ideas by leveraging Reddit data and AI tools like Gumloop. Build an automated workflow to scrape, analyze, and generate business opportunities efficiently.

Learn to create custom Camunda Connectors without coding. Explore existing connectors, build new ones, deploy them, and create user-friendly templates for seamless process automation across systems and devices.

Explore FinTech innovations with expert talks on OpenAI for stock market advice, legacy challenges in banking, real-time data in financial services, and blockchain's role in future-proofing the industry.

Explore cutting-edge Python data science topics with expert-led sessions on AI, machine learning, data analysis, and innovative tools. Gain practical insights and hands-on experience in this comprehensive event.

Explore document similarity using Langchain, Neo4j, and OpenAI embeddings. Learn practical techniques for machine learning and data science applications.

Generate synthetic data using Langchain, OpenAI, and Faker for data science and machine learning applications. Learn powerful techniques to create realistic datasets.

Build knowledge graphs from unstructured data using Neo4J's Knowledge Graph Builder App with AI integration for efficient data extraction and visualization.

Explore advanced inference techniques like sampling and chain of thought to enhance AI model performance. Learn to optimize test-time compute for improved accuracy and efficiency.

Master building an AI-powered financial document analyzer using Spring AI and RAG (Retrieval Augmented Generation). Implement vector databases, document processing, and intelligent data retrieval in Java applications.

Discover how vector search technology and Qdrant power modern work environments, exploring implementation, scaling challenges, and practical applications in AI-driven business solutions.

Discover how to transform enterprise documents into AI-ready vector formats and integrate external data with ChatGPT/GPT-4 through practical demonstrations and clear examples.

Learn to analyze financial news using OpenAI and Llama Index. Build a system to fetch, index, and query news data, with a focus on practical implementation and code walkthrough.

Explore AI-powered coding with GPT Function Calling, transforming data retrieval and SQL management. Learn to craft function calls for weather data and database interactions, blending AI innovation with practical coding solutions.

Learn to program AI for email management, including summarizing, responding, and automating inbox tasks using MindsDB and OpenAI's GPT-4.