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#LLaMA2

Showing: 14 courses
The Machine Learning Engineer

Azure ML: Fine Tune Foundation Model con Python SDK para LLama2

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Aprende a realizar fine-tuning de modelos de lenguaje como Llama2 para clasificación de texto utilizando el SDK de Python de Azure ML Studio.
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1 Lesons
51 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Langchain: LLama2 7B Text Summarization - Machine Learning, Generative AI, and Data Science

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Explora opciones de resumen de documentos en Langchain utilizando el modelo LLama2 7B. Aprende técnicas avanzadas de procesamiento de texto y generación de resúmenes.
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1 Lesons
31 minutes
On-Demand
Free-Video
Docker

Docker for Machine Learning, AI, and Data Science - DockerCon 2023 Workshop

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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.
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1 Lesons
2 hours 54 minutes
On-Demand
Free-Video
Sam Witteveen

LLaMA2 for Multilingual Fine Tuning

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Explore multilingual fine-tuning capabilities of LLaMA2 and other language models, comparing performance and discussing implications for cross-lingual NLP tasks.
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8 Lesons
16 minutes
On-Demand
Free-Video
Docker

Set Up a Llama2 Endpoint for Your LLM App in OctoAI

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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.
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1 Lesons
58 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Training and Evaluating LLaMA2 Models with Argo Workflows and Hera

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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.
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1 Lesons
25 minutes
On-Demand
Free-Video
All About AI

AI Engineer Skills for Beginners: Code Generation Techniques

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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.
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9 Lesons
52 minutes
On-Demand
Free-Video
Krish Naik

LangChain Crash Course - 6 End-to-End LLM Projects with OpenAI, LLAMA2, and Gemini Pro

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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.
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8 Lesons
4 hours 2 minutes
On-Demand
Free-Video
Krish Naik

Generative AI: Fine-Tuning LLM Models Crash Course

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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.
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8 Lesons
2 hours 37 minutes
On-Demand
Free-Video
Ian Wootten

Ollama on Linux - Installing and Running LLMs on Your Server

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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.
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4 Lesons
13 minutes
On-Demand
Free-Video
Unify

SliceGPT Explained - Compressing Large Language Models

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Explore SliceGPT's innovative approach to compressing large language models by deleting rows and columns, maintaining high performance while reducing parameters significantly.
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1 Lesons
55 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Fine-Tuning Foundation Models for Document Classification with Azure ML - LLama2

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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.
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1 Lesons
53 minutes
On-Demand
Free-Video
Anyscale

Enabling End-to-End LLMOps on Michelangelo with Ray

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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.
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1 Lesons
30 minutes
On-Demand
Free-Video
Linux Foundation

Efficient and Portable AI/LLM Inference on the Edge Cloud - Workshop

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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.
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1 Lesons
48 minutes
On-Demand
Free-Video