Llama 3 - 8B and 70B Models Deep Dive and Implementation Guide
Explore Llama 3's 8B and 70B models: capabilities, benchmarks, and deployment options. Learn about scaling, licensing, and future developments in this comprehensive overview of Meta AI's latest language model release.
Testing Microsoft's New VLM - Phi-3 Vision Model
Explore Microsoft's Phi-3 Vision model capabilities through hands-on demonstrations, including image analysis and 4-bit quantization, with insights from the model's documentation and research paper.
Florence-2: The Best Small Vision Language Model - Capabilities and Demo
Explore Florence-2, a powerful new Vision Language Model capable of detailed image captioning, visual grounding, and open vocabulary detection, with demonstrations and practical usage examples.
Building Local Llama Agents with Mistral and Arcee Agent
Explore building local Llama Agents using Mistral and Arcee models. Learn to create AI agents with open-source tools for tasks like calculation and NLP analysis.
Fireside Chat on PyTorch and Machine Learning
Insightful discussion on PyTorch's development, AI trends, and the future of machine learning with industry experts Soumith Chintala and Merve Noyan.
Complete Langchain Course for Generative AI
Comprehensive guide to building AI applications with LangChain, covering chatbots, RAG pipelines, and integration with various tools and platforms for generative AI development.
Fine-tuning LLMs with Hugging Face SFT and QLoRA - LLMOps Techniques
Explore advanced LLM fine-tuning techniques, from specialized tuning to instruction enhancement. Learn dataset preparation, model optimization, and leverage powerful libraries for efficient fine-tuning and deployment.
MLOPS: How to Work with Hugging Face Hub CLI
Aprende a instalar y utilizar la CLI de Hugging Face Hub para gestionar modelos y datasets de aprendizaje automático de manera eficiente.
Microsoft AI: Semantic Kernel SDK Integration with Hugging Face Models
Integrate Semantic Kernel with Huggingface models for text generation and summarization using GPT2 and T5-base. Explore practical implementation for machine learning tasks.
Microsoft AI: Introduction to the Semantic Kernel SDK
Explore Microsoft's Semantic Kernel SDK for integrating LLMs with C#, Python, and Java. Learn to combine AI models with traditional programming for enhanced applications.
Building Better Language Models - Paradigms and Techniques
Explore advanced techniques for building and improving language models, covering paradigms, zero-shot learning, and multitask prompted training.
Hugging Face Datasets - Dataset Builder Scripts for Beginners
Learn to create and manage dataset builder scripts for Hugging Face, including download management, Apache Arrow datatypes, and integration with popular machine learning frameworks for efficient model training and fine-tuning.
Meet FLAVA: A Unified Vision and Language Foundation Model
Explore FLAVA, a unified vision and language model, its architecture, and performance across 35 tasks. Learn about the journey towards creating this holistic foundation model for multimodal AI applications.
Fine-tuning Large Models on Local Hardware Using PEFT and Quantization
Explore Parameter-Efficient Fine-Tuning (PEFT) and quantization techniques to train large neural networks on modest hardware using the PEFT library and Hugging Face ecosystem.
Installing Flux in ComfyUI - A Step-by-Step Guide
Learn how to integrate and configure Flux within ComfyUI, including installation steps, workflow setup, and essential resources for enhanced AI image generation capabilities.
Parallel Processing for Stable Diffusion Using TPU - Speed Optimization Guide
Master parallel processing in Stable Diffusion using TPUs and JAX/FLAX libraries to generate AI art 8x faster, achieving remarkable speeds of 8 images in just 4 seconds.
Trojan Model Hubs - Hacking the ML Supply Chain and Defending Against Security Threats
Discover essential security strategies for ML model hubs, focusing on detecting Model Serialization Attacks and implementing cryptographic signing to protect against compromised artifacts and system vulnerabilities.
Desarrollos con Modelos de IA Generativa de Hugging Face
Descubre cómo implementar y utilizar los modelos de IA generativa de Hugging Face para crear aplicaciones innovadoras y soluciones tecnológicas avanzadas.
The Hugging Face Transformers Library - Beginner's Guide and Chatbot UI with Gradio
Explore the Hugging Face Transformers library for easy, cost-free use of open-source language models. Learn sentiment analysis, summarization, and build a chatbot UI with Gradio.
Fine-tuning Large Language Models (LLMs) with Example Code
Learn to fine-tune large language models with practical Python examples. Explore techniques like LoRA for efficient parameter tuning and implement a text classification model using distilBERT.
Compressing Large Language Models (LLMs) with Python Code - 3 Techniques
Explore three LLM compression techniques: quantization, pruning, and knowledge distillation. Learn to implement these methods with Python code examples for efficient model optimization.