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#llama.cpp

Showing: 16 courses
CNCF [Cloud Native Computing Foundation]

Running LLMs in the Cloud - Approaches and Best Practices

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探索云端大语言模型部署策略：比较Python、原生运行时和WebAssembly方法，分析各自优缺点，助您选择最佳实施方案，优化资源效率和可移植性。
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1 Lesons
11 minutes
On-Demand
Free-Video
Linux Foundation

Running LLMs in the Cloud - Best Practices and Deployment Approaches

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探索云端大语言模型部署策略：Python解决方案、原生运行时和WebAssembly。了解各方法优缺点，获取实用建议，选择最佳部署策略。
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1 Lesons
11 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Running LLMs in the Cloud - Approaches and Best Practices

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探讨在云原生环境中部署大语言模型的最佳实践，比较Python、原生运行时和WebAssembly三种方法的优缺点，为开发者提供实用建议和清晰路线图。
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1 Lesons
11 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOPS LLMs: Converting Microsoft Phi3 to GGUF Format with LLaMA.cpp

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Aprende a cuantizar el modelo Microsoft Phi3 a formatos bf16, fp16 o q8_0 utilizando LLaMA.cpp para optimizar el rendimiento de LLMs.
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1 Lesons
23 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOPS LLMs - Converting Microsoft Phi3 to GGUF Format with LLaMA.cpp

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Aprende a cuantizar el modelo Phi3 mini a diferentes tipos de datos utilizando LLama.cpp para optimizar el rendimiento y la eficiencia.
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1 Lesons
31 minutes
On-Demand
Free-Video
AI Bites

GGUF Quantization of Large Language Models Using LLAMA.cpp

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Master GGUF quantization techniques to run large language models efficiently on personal devices using LLAMA.cpp, enabling GPU-free inference and deployment on laptops, phones, and watches.
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7 Lesons
12 minutes
On-Demand
Free-Video
kasukanra

Autogen and Local LLMs Create Realistic Stable Diffusion Model Autonomously

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Explore AI-powered creation of realistic SDXL models using autonomous agents and local LLMs. Learn setup, implementation, and troubleshooting for cutting-edge AI image generation techniques.
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53 Lesons
1 hour 28 minutes
On-Demand
Free-Video
All About AI

Fine-Tuning a Local Mistral 7B Model - Step-by-Step Guide

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Step-by-step guide to fine-tuning a Mistral 7B model locally, covering dataset creation, conversion, uploading, fine-tuning, model conversion, and testing, with practical demonstrations and insights.
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9 Lesons
17 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Code Understanding with Langchain, CodeLLama, Llama.cpp and OpenAI

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Explore Langchain for Python code understanding, integrating CodeLLama, Llama.cpp, and OpenAI for enhanced machine learning capabilities.
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1 Lesons
26 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOps: Logging and Loading Microsoft Phi3 Mini 128k in GGUF with MLflow

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Learn to log and load quantized LLama.cpp models in MLflow, create Python classes, and perform inference using Microsoft Phi3 mini 128k in GGUF format.
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1 Lesons
18 minutes
On-Demand
Free-Video
Trelis Research

How to Quantize a Large Language Model with GGUF or AWQ

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Learn to quantize large language models using GGUF and AWQ. Explore techniques, compare methods, and gain practical skills for efficient model compression and deployment.
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8 Lesons
26 minutes
On-Demand
Free-Video
Linux Foundation

Open Source LLMs in the Cloud - Scalable Solutions

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Explore scalable deployment strategies for open-source LLMs in cloud environments, comparing Python solutions, native runtimes, and WebAssembly approaches for optimal performance and resource efficiency.
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1 Lesons
40 minutes
On-Demand
Free-Video
ChemicalQDevice

Speed-ups for State-of-the-Art Generative AI Drug Discovery Applications

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Explore cutting-edge generative AI techniques for drug discovery, including VAEs, Hugging Face pipelines, and LLM comparisons. Learn to accelerate inference times using C++ and cloud platforms.
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1 Lesons
57 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

No More Runtime Setup - Bundling, Distributing, Deploying, and Scaling LLMs Seamlessly with Ollama Operator

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Discover Ollama Operator: simplify LLM deployment, bundling, and scaling across environments. Eliminate runtime complexities and dependency issues for seamless large language model management in Kubernetes.
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1 Lesons
34 minutes
On-Demand
Free-Video
Trelis Research

LLM Tool Use - GPT4o-mini, Groq, and Llama.cpp

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Explore advanced LLM tool use techniques with GPT4o-mini, Groq, and Llama.cpp. Learn function calling, zero-shot prompting, and local inference for efficient AI development.
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18 Lesons
1 hour 20 minutes
On-Demand
Free-Video
Trelis Research

The Best Tiny Language Models - Performance, Fine-tuning, and Function-calling

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Explore the benefits, performance, and fine-tuning of small language models. Learn about function-calling with quantized models and discover the best tiny LLMs for various applications.
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9 Lesons
1 hour 2 minutes
On-Demand
Free-Video