Azure ML: Fine Tune Foundation Model con Python SDK para LLama2
Aprende a realizar fine-tuning de modelos de lenguaje como Llama2 para clasificación de texto utilizando el SDK de Python de Azure ML Studio.
Langchain: LLama2 7B Text Summarization - Machine Learning, Generative AI, and Data Science
Explora opciones de resumen de documentos en Langchain utilizando el modelo LLama2 7B. Aprende técnicas avanzadas de procesamiento de texto y generación de resúmenes.
Docker for Machine Learning, AI, and Data Science - DockerCon 2023 Workshop
Comprehensive workshop on containerizing and deploying generative AI models, covering fine-tuning techniques, multi-modal use cases, and building a complete GenAI vertical using Docker.
LLaMA2 for Multilingual Fine Tuning
Explore multilingual fine-tuning capabilities of LLaMA2 and other language models, comparing performance and discussing implications for cross-lingual NLP tasks.
Set Up a Llama2 Endpoint for Your LLM App in OctoAI
Learn to create a Llama2 endpoint in OctoAI for building LLM applications using RAG framework. Covers model cloning, endpoint setup, cost and hardware preferences, and testing in a sample app.
Training and Evaluating LLaMA2 Models with Argo Workflows and Hera
Comprehensive guide to train and evaluate LLaMA2 models using Argo Workflows and Hera SDK. Covers setup, data preprocessing, model training, and performance assessment with cloud-native tools.
AI Engineer Skills for Beginners: Code Generation Techniques
Explore AI code generation techniques using GPT-4, GitHub Copilot, and open-source models. Learn practical skills for data analysis, API integration, and leveraging AI tools in engineering projects.
LangChain Crash Course - 6 End-to-End LLM Projects with OpenAI, LLAMA2, and Gemini Pro
Comprehensive guide to building AI applications with LangChain, covering various LLMs and databases. Includes hands-on projects and demos using OpenAI, LLAMA2, and Gemini Pro.
Generative AI: Fine-Tuning LLM Models Crash Course
Comprehensive guide to fine-tuning LLMs using advanced techniques like QLORA and quantization, covering theoretical concepts and practical implementations with popular models like LLama2 and Google Gemma.
Ollama on Linux - Installing and Running LLMs on Your Server
Step-by-step guide to installing and running Ollama on Linux servers, enabling easy deployment of large language models like Llama2 for remote access and use.
SliceGPT Explained - Compressing Large Language Models
Explore SliceGPT's innovative approach to compressing large language models by deleting rows and columns, maintaining high performance while reducing parameters significantly.
Fine-Tuning Foundation Models for Document Classification with Azure ML - LLama2
Fine-tune LLM for document classification using Azure ML Studio's Python SDK. Learn to adapt Llama2, Mistral, or other models for text classification tasks.
Enabling End-to-End LLMOps on Michelangelo with Ray
Explore Uber's extension of Michelangelo for end-to-end LLMOps, leveraging Ray for scalable development with hundreds of A100 GPUs and integrating open-source techniques for efficient custom LLM creation.
Efficient and Portable AI/LLM Inference on the Edge Cloud - Workshop
Explore efficient AI/LLM inference on edge cloud using WebAssembly. Learn to create lightweight, portable applications for media processing, vision, and language models, running at native speed across CPUs and GPUs.