Better Llama with Retrieval Augmented Generation - RAG
Learn to enhance Llama 2 using Retrieval Augmented Generation (RAG). Build a pipeline with Pinecone, Llama 2 13B, and integrate it using Hugging Face and LangChain for improved, up-to-date language model performance.
Automatic Image Captioning with Vision Transformer and GPT-2
Learn how to generate descriptive captions for images using Python and PyTorch in this 16-minute tutorial. Explore the process of automatic image captioning with the pre-trained 'nlpconnect/vit-gpt2-image-captioning' model from Hugging Face. Set up the V…
Stable Diffusion Installation Guide 2024 - ControlNet and AI Animations on Your PC
Install Stable Diffusion for AI animations on your PC. Set up GitHub and Hugging Face accounts, download necessary software, and learn to render AI animations. Avoid common issues and integrate tools for efficient workflow.
Private, Local AI: Running Open-Source LLMs Locally
Explore private AI applications running open-source LLMs locally on personal devices. Learn about encrypted environments for fine-tuning models on sensitive data.
Accelerating Transformers with Hugging Face Optimum and Infinity
Explore techniques to accelerate Transformer models using Hugging Face's Optimum library and Infinity solution for millisecond-scale latencies in production environments.
Fine-Tuning BERT for Text Classification - Python Code Tutorial
Dive into fine-tuning BERT for text classification, focusing on phishing URL detection. Learn key concepts and implement Python code to enhance your natural language processing skills.
Hugging Face on Azure - Partnership and Solutions Announcement
Explore Hugging Face's integration with Azure, featuring state-of-the-art ML models, enterprise capabilities, and open-source collaboration for responsible machine learning.
SPLADE - The First Search Model to Beat BM25
Explore SPLADE, a groundbreaking sparse embedding model for AI-powered search. Learn its advantages over traditional methods, implementation techniques, and potential future developments in vector search technology.
ML and MLOps with Databricks: LLMs Using HuggingFace Transformers - Spanish
Explora LLMs con HuggingFace Transformers en Databricks: summarization, traducción, análisis de sentimientos, zero-shot y few-shot prompting.
Azure ML: Punto de Inferencia Q&A con Foundation Model
Crea un punto de inferencia en línea para modelos QA utilizando Azure Machine Learning Studio y el SDK de Python. Explora el catálogo de modelos base.
Introducción al Semantic Kernel SDK en C# para Machine Learning
Explora el Semantic Kernel SDK de Microsoft para integrar modelos de lenguaje avanzados en aplicaciones C#, potenciando el desarrollo de IA.
MLOPS: Cómo Trabajar con el CLI de Hugging Face Hub - Español
Aprende a instalar y utilizar el CLI de Huggingface Hub para gestionar modelos y datasets de manera eficiente en proyectos de aprendizaje automático.
Microsoft AI: Semantic Kernel SDK Integration with Hugging Face Models
Integra Semantic Kernel SDK con modelos Huggingface para generación y resumen de texto usando GPT2 y T5-base. Explora text-generation, text2text-generation y summarization.
Introducción al Semantic Kernel SDK de Microsoft
Explora el Semantic Kernel SDK de Microsoft para integrar modelos de lenguaje con C#, Python y Java. Aprende a combinar IA con programación convencional.
Building World-Class NLP Models with Transformers and Hugging Face
Learn to build advanced NLP models using transformers and Hugging Face. Kaggle Grandmasters share insights on question answering, sentiment extraction, and multilingual classification in this comprehensive tutorial.
The Future of AI Art: Realtime AI Drawing and Painting
Explore real-time AI painting with latent consistency models. Learn about free and paid tools, local setup options, and cutting-edge applications in AI art generation.
How to Build an AI-Powered Video Search App
Learn to build an AI-powered video search app using YouTube data, Pinecone, and Streamlit. Covers data collection, enhancement, indexing, and querying, with practical code examples and implementation steps.
Building AI Pipelines with Hugging Face and Kedro - From ChatGPT to Production
Discover how to build robust AI systems using Hugging Face's open models and Kedro pipelines, moving beyond commercial AI to create customizable and transparent machine learning solutions.
FASTER Code for Supervised Fine-Tuning and DPO Training with UNSLOTH
Explore practical implementation of UNSLOTH for accelerated Supervised Fine-Tuning and DPO-Alignment of LLMs using Jupyter notebooks with HuggingFace compatibility.
Understanding 4-bit Quantization and QLoRA - Memory Efficient Fine-tuning of LLMs
Dive into memory-efficient fine-tuning of large language models through 4-bit quantization and QLoRA, combining theoretical foundations with practical implementation in Colab.
NEFTune - Improving LLM Performance Through Noisy Embeddings Fine-Tuning
Discover how NEFTune's innovative instruction fine-tuning method enhances LLM performance through noisy embeddings, with practical implementation in HuggingFace TRL.