
Explore the RAG (retrieval-augmented generation) pattern in this 31-minute conference talk from Devoxx. Learn the fundamental concepts behind RAG and gain hands-on experience setting up a practical RAG infrastructure using Docker. Discover how to configu…

Aprende a crear una base de conocimientos gráfica con Neo4J, extrayendo temas y palabras clave de textos mediante Langchain y el modelo Phi3 de Microsoft.

Explora los modelos multimodales de Microsoft: Phi3 Vision Instruct 128k y Florence Large. Descubre sus capacidades y aplicaciones en ciencia de datos e inteligencia artificial.

Explora el Visual Studio Code AI Toolkit con ejemplos prácticos en Python y C# para inferencia en CPU usando el modelo Phi 3 4K Instruct cuantizado.

Crea un chatbot con Microsoft Phi3 4K ONNX en CPU utilizando Semantic Kernel y C#. Aprende a implementar modelos de lenguaje avanzados en aplicaciones prácticas.

Aprende a realizar inferencia en CPU con Phi 3 Vision 128K Instruct, utilizando modelos ONNX de 4 bits y C# para prompts multimodales eficientes.

Aprende a realizar inferencia en CPU con Phi 3 4K Instruct cuantizado a 4 bits en ONNX usando C#, optimizando el rendimiento de modelos de lenguaje.

Explore RAG component creation using Dynamic Prompts with Microsoft Semantic Kernel, utilizing Ollama Framework and Phi3 Mini model in C#.

Explore ONNX runtime GPU support for inference with generative models, including Phi3-mini quantization and conversion techniques.

Explore state-of-the-art multimodal models Phi3 Vision Instruct 128k and Florence Large from Microsoft, with practical demonstrations and code examples.

Explore latest AI advancements: Copilot+ PCs, Veo, Project Astra, Gemini 1.5 Flash, and more. Gain insights on LLM updates, open-source developments, and cutting-edge research in generative AI and machine learning.

Learn to generate LeetCode datasets and fine-tune Phi-3 models using Unsloth for improved coding problem-solving performance. Explore dataset creation, model training, and result evaluation.

Develop a ChatBot using Phi3 Mini 4k Instruct ONNX model with Semantic Kernel C# SDK, integrating custom services for machine learning applications.

Explore multimodal prompting and CPU inference using Phi 3 Vision 128K Instruct, quantized to 4 bits in ONNX format, with C# implementation for efficient machine learning operations.

Explore CPU-based inference using 4-bit quantized Phi 3 4K Instruct in ONNX format with C#. Learn practical implementation for efficient machine learning deployment.

Descubre cómo implementar RAG utilizando LlamaIndex y Nvidia NIM para interactuar con documentos privados, integrando LLama 3.2 3B y Phi3 3.5 Small para procesamiento de lenguaje natural.

Explore building a RAG application using LlamaIndex and Nvidia NIM to effectively query private documents with LLama 3.2 3B and Phi3 3.5 Small 128k models.

Explore Visual Studio Code AI Toolkit with hands-on examples in Python and C#, focusing on CPU inference using the Phi 3 4K Instruct model in ONNX format.

Build a Python-based chatbot using Orca Mini and Phi 3 models on Raspberry Pi 5, running locally without internet or subscriptions. Gain hands-on experience in implementing AI models on embedded systems.

Explore advanced LLM tool use techniques with GPT4o-mini, Groq, and Llama.cpp. Learn function calling, zero-shot prompting, and local inference for efficient AI development.

Benchmark open-source AI models against Perplexity AI in web search performance. Compare Llama 3 70b, GPT-3.5 turbo, and Phi-3 medium using a custom web search agent.