Tag: Deploy

Fine-Tune & Deploy Llms With Qlora On Sagemaker + Streamlit


Fine-Tune & Deploy Llms With Qlora On Sagemaker + Streamlit
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.56 GB | Duration: 7h 12m
Master QLoRA Math, Mixed Precision Training, Double Quantization, Lambda functions, API Gateway & Streamlit deployment
What you’ll learn
Train/Fine Tune LLMs in AWS Sagemaker using QLoRA and advanced 4-bit quantization on your own dataset
Create an interactive Streamlit app to deploy your fine tuned LLM with Sagemaker, Lambda Functions, and API Gateway
Master QLoRA fine-tuning – including adapter injection, memory optimization, parameter freezing, and the mathematics behind it
Leverage bfloat16 compute types for faster and more efficient training on modern GPUs
Understand mixed precision training with qLoRA in Sagemaker
Use Parameter Efficient Fine Tuning(PEFT) to dynamically find and inject LoRA layers
Understand the entire low-level fine-tuning pipeline – from raw dataset to trained model
Use double quantization and nf4 precision to compress models without losing performance

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PDQ Deploy 20.0.17.0 Enterprise

PDQ Deploy 20.0.17.0 Enterprise | Size: 103.49 MB
Language: English

PDQ Deploy is a software deployment tool used to keep Windows PCs up-to-date without leaving your chair or bothering end users.

Deploy Almost Anything
Silently deploy almost any Windows patch or application (.exe, .msi) to multiple Windows PCs simultaneously. Deployments can install, uninstall, execute scripts, reboot, copy files, sleep, send messages, etc. Instructions and files are sent to the target computer, executed, monitored, and reported.
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Operational AI with Docker Deploy, scale, and operate agentic AI services with Docker and Kuberne…

Operational AI with Docker Deploy, scale, and operate agentic AI services with Docker and Kubernetes (True PDF) | 79.66 MB

Title: Operational AI with Docker
Author: Ajeet Singh Raina, Harsh Manvar
Category: Nonfiction, Computers, Programming, Systems Analysis, Software Development, Advanced Computing, Artificial Intelligence
Language: English | 390 Pages | ISBN: 9781807301088

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