Mistral releases Voxtral Transcribe 2, a new family of audio-to-text models, including an open-weights real-time transcription model.
Qwen3-TTS, a family of advanced multilingual text-to-speech models, is now open source, featuring voice cloning and description-based control.
Learn to build AI agents in C# using Microsoft Agent Framework and Hugging Face MCP tools for image generation and analysis.
A guide for .NET developers to build an AI chat app with RAG and image generation using .NET, MCP, and Hugging Face in under 10 minutes.
Learn how to use TransformerSharp to run Hugging Face text generation and text-to-image models locally in C# applications.
Learn how to use C# to connect to Hugging Face MCP Server and generate AI images through a step-by-step technical tutorial.
Reflections on the first unit of the Hugging Face Agents course, focusing on the potential and risks of code agents and their evaluation.
Learn how to accurately calculate token counts for strings using language models with a provided Jupyter Notebook tool.
A technical guide on optimizing and scaling the fine-tuning of open-source large language models using Hugging Face tools in 2025.
A technical guide on deploying the QwQ-32B-Preview open-source reasoning model on AWS SageMaker using Hugging Face's tools.
A technical guide on deploying Meta's Llama 3.2 Vision model on Amazon SageMaker using the Hugging Face LLM DLC.
A tutorial on integrating Hugging Face's vast model library with Ollama's easy-to-use local AI platform for running custom models.
A technical guide on fine-tuning Vision-Language Models (VLMs) using Hugging Face's TRL library for custom applications like image-to-text generation.
A guide to fine-tuning and deploying custom embedding models for RAG applications on Amazon SageMaker using Sentence Transformers v3.
A tutorial on deploying open-source large language models (LLMs) like Llama 3 using the vLLM framework on Hugging Face Inference Endpoints.
A technical guide on deploying Meta's Llama 3 70B model on Amazon SageMaker using the Hugging Face LLM DLC and Text Generation Inference.
A technical guide on fine-tuning and evaluating open-source Large Language Models (LLMs) using Amazon SageMaker and Hugging Face libraries.
A tutorial on evaluating Large Language Models using Hugging Face's Lighteval library on Amazon SageMaker, focusing on benchmarks like TruthfulQA.
A technical guide on fine-tuning Google's Gemma open LLMs using the ChatML format and Hugging Face's TRL library for efficient training on consumer GPUs.
A technical guide on using Direct Preference Optimization (DPO) with Hugging Face's TRL library to align and improve open-source large language models in 2024.
