Orchestrating AI By Noah Gift

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Free Download Orchestrating AI By Noah Gift
MP4 | Video: AVC 1920 x 1080 | Audio: AAC 44 Khz 2ch | Duration: 01:45:49 | 385.72 MB
Genre: eLearning | Language: English
# AI Orchestration and Engineering Course ## Author: Noah Gift ## Course Overview This comprehensive course covers AI orchestration, from local development to cloud deployment, with a focus on Rust, MLOps, and efficient AI system design. Learn practical approaches to building and deploying AI systems using modern tools and best practices. ## Module 1: Course Foundations - Introduction to AI Orchestration - Course Overview - AI Orchestration Fundamentals ## Module 2: Advanced Prompt Engineering - Understanding the Prompt Engineering Pyramid - Chain of Thought Prompting with Rust - Practical Demonstrations and Implementation ## Module 3: AI System Architecture - Local vs Cloud Model Deployment - Caching Strategies for AI Systems - RAG Optimization Techniques ## Module 4: Tools and Implementation - LlamaFile and Local Model Deployment - Ollama Integration and Architecture - AWS Spot Instance Deployment - GPU Monitoring and Optimization - HuggingFace Workflow Integration - GitHub AI Model Management - Technical Training and Best Practices ## Course Conclusion - Final Overview and Next Steps - AI Engineering Best Practices

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385.72 MB | 00:10:37 | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English​

Files Included :

Spoiler

001 ai orchestration overview (19.1 MB)
001 aws spot deploy ml (12.59 MB)
001 caching for ai (10.15 MB)
001 chain of thought prompt rust (9.94 MB)
001 course conclusion (8.47 MB)
002 course overview (5.2 MB)
002 explaining chain of thought rust prompt (8.05 MB)
002 prompt engineering pyramid (5.97 MB)
002 technical training approaches (19.31 MB)
003 chain of thought rust prompt demo (19.39 MB)
003 course intro (17.18 MB)
003 huggingface workflow models (9.22 MB)
003 optimizing local RAG (14.11 MB)
004 github ai models workflow (9.32 MB)
004 local vs cloud models (17.87 MB)
005 ollama arch (3.88 MB)
006 llamafile simple (6.77 MB)
007 rust hello world project structure (3.85 MB)
008 compiling rust candle gpu (25.69 MB)
009 llamafile getting started gemma (18.4 MB)
010 using nvidia smi (13.39 MB)
011 effective ai engineering learning (8.56 MB)
012 AI orchestration local workstation (14.27 MB)
013 using tmux on linux (37.46 MB)
014 ollama modelfile rust debugger (23.29 MB)
015 ollama local demo (21.97 MB)
016 using zenith gpu monitoring (22.31 MB)

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[0dayddl]

385.72 MB | 00:10:37 | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English​

Files Included :

Spoiler

001 ai orchestration overview.mp4 (19.1 MB)
001 aws spot deploy ml.mp4 (12.59 MB)
001 caching for ai.mp4 (10.15 MB)
001 chain of thought prompt rust.mp4 (9.94 MB)
001 course conclusion.mp4 (8.47 MB)
002 course overview.mp4 (5.2 MB)
002 explaining chain of thought rust prompt.mp4 (8.05 MB)
002 prompt engineering pyramid.mp4 (5.97 MB)
002 technical training approaches.mp4 (19.31 MB)
003 chain of thought rust prompt demo.mp4 (19.39 MB)
003 course intro.mp4 (17.18 MB)
003 huggingface workflow models.mp4 (9.22 MB)
003 optimizing local RAG.mp4 (14.11 MB)
004 github ai models workflow.mp4 (9.32 MB)
004 local vs cloud models.mp4 (17.87 MB)
005 ollama arch.mp4 (3.88 MB)
006 llamafile simple.mp4 (6.77 MB)
007 rust hello world project structure.mp4 (3.85 MB)
008 compiling rust candle gpu.mp4 (25.69 MB)
009 llamafile getting started gemma.mp4 (18.4 MB)
010 using nvidia smi.mp4 (13.39 MB)
011 effective ai engineering learning.mp4 (8.56 MB)
012 AI orchestration local workstation.mp4 (14.27 MB)
013 using tmux on linux.mp4 (37.46 MB)
014 ollama modelfile rust debugger.mp4 (23.29 MB)
015 ollama local demo.mp4 (21.97 MB)
016 using zenith gpu monitoring.mp4 (22.31 MB)

]
Screenshot

Spoiler

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!