How LLMs Pay Attention: Multi-Head Attention, Causal Masks & the Secret of AI Understanding
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How LLMs Pay Attention: Multi-Head Attention, Causal Masks & the Secret of AI Understanding
4:37
How LLMs Understand Text: Tokenization, Embeddings & the Secret Language of AI
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How LLMs Understand Text: Tokenization, Embeddings & the Secret Language of AI
7:27
Understanding Large Language Models (LLM) | A Friendly Guide to AI's Language Wizards
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Understanding Large Language Models (LLM) | A Friendly Guide to AI's Language Wizards
13:36
AI Engineering Insights from Chip Huyen’s Book | Chapter 9: Inference Optimization
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AI Engineering Insights from Chip Huyen’s Book | Chapter 9: Inference Optimization
3:41
Phi Accrual Failure Detector Simplified | Master Distributed Systems for Interviews!
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Phi Accrual Failure Detector Simplified | Master Distributed Systems for Interviews!
2:44
How to Evaluate Machine Learning Models Like a Pro | Easy Guide for Beginners
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How to Evaluate Machine Learning Models Like a Pro | Easy Guide for Beginners
3:59
AI Engineering Insights from Chip Huyen’s Book | Chapter 8: Dataset Engineering
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AI Engineering Insights from Chip Huyen’s Book | Chapter 8: Dataset Engineering
5:58
AI Engineering Insights from Chip Huyen’s Book | Chapter 7: Finetuning Foundation Models
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AI Engineering Insights from Chip Huyen’s Book | Chapter 7: Finetuning Foundation Models
6:32
AI Engineering Insights from Chip Huyen’s Book | Chapter 6: RAG & Agents
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AI Engineering Insights from Chip Huyen’s Book | Chapter 6: RAG & Agents
8:56
AI Engineering Insights from Chip Huyen’s Book | Chapter 5: Prompt Engineering
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AI Engineering Insights from Chip Huyen’s Book | Chapter 5: Prompt Engineering
6:52
AI Engineering Insights from Chip Huyen’s Book | Chapter 4: Evaluating AI Systems
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AI Engineering Insights from Chip Huyen’s Book | Chapter 4: Evaluating AI Systems
8:16
AI Engineering Insights from Chip Huyen’s Book | Chapter 3: Mastering AI Evaluation Methods
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AI Engineering Insights from Chip Huyen’s Book | Chapter 3: Mastering AI Evaluation Methods
8:28
AI Engineering Insights from Chip Huyen’s Book | Chapter 2: Mastering Foundation Models & AI Scaling
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AI Engineering Insights from Chip Huyen’s Book | Chapter 2: Mastering Foundation Models & AI Scaling
7:09
AI Engineering Insights from Chip Huyen’s Book | Chapter 1: Introduction to Building AI Applications
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AI Engineering Insights from Chip Huyen’s Book | Chapter 1: Introduction to Building AI Applications
6:26
Mastering MLOps: Building Scalable Infrastructure for ML Models | Best Practices & Tools
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Mastering MLOps: Building Scalable Infrastructure for ML Models | Best Practices & Tools
8:32
Mastering Continual Learning in ML: Key Techniques, Challenges & Real-World Applications 🚀
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Mastering Continual Learning in ML: Key Techniques, Challenges & Real-World Applications 🚀
9:50
Data Distribution Shifts in ML: How to Monitor & Adapt Your Models for Real-World Changes 🔄
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Data Distribution Shifts in ML: How to Monitor & Adapt Your Models for Real-World Changes 🔄
8:54
How to Crush Your System Design Interview: Build a Rideshare App (Uber-Style Deep Dive)
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How to Crush Your System Design Interview: Build a Rideshare App (Uber-Style Deep Dive)
4:49
Fixing Metric Inconsistencies in Your Data Warehouse | Data Metric Consistency
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Fixing Metric Inconsistencies in Your Data Warehouse | Data Metric Consistency
3:22
Should Data Engineers Embrace AI/ML? | Don't Switch, Integrate! | #ai #dataengineering
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Should Data Engineers Embrace AI/ML? | Don't Switch, Integrate! | #ai #dataengineering
1:02
𝗗𝗮𝘁𝗮 𝗦𝗵𝗶𝗳𝘁𝘀 & 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗶𝗻 𝗠𝗟 𝗦𝘆𝘀𝘁𝗲𝗺𝘀: 𝗞𝗲𝘆 𝗙𝗮𝗶𝗹𝘂𝗿𝗲𝘀 & 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 🚨📊"
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𝗗𝗮𝘁𝗮 𝗦𝗵𝗶𝗳𝘁𝘀 & 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗶𝗻 𝗠𝗟 𝗦𝘆𝘀𝘁𝗲𝗺𝘀: 𝗞𝗲𝘆 𝗙𝗮𝗶𝗹𝘂𝗿𝗲𝘀 & 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 🚨📊"
7:30
𝗖𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝘁 𝗛𝗮𝘀𝗵𝗶𝗻𝗴 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗲𝗱 𝗶𝗻 𝟲𝟬 𝗦𝗲𝗰𝗼𝗻𝗱𝘀! 🚀 | 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗟𝗼𝗮𝗱 𝗗𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻
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𝗖𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝘁 𝗛𝗮𝘀𝗵𝗶𝗻𝗴 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗲𝗱 𝗶𝗻 𝟲𝟬 𝗦𝗲𝗰𝗼𝗻𝗱𝘀! 🚀 | 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗟𝗼𝗮𝗱 𝗗𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻
2:40
𝗠𝗮𝘀𝘁𝗲𝗿𝗶𝗻𝗴 𝗠𝗼𝗱𝗲𝗹 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 𝗮𝗻𝗱 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗶𝗻 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴
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𝗠𝗮𝘀𝘁𝗲𝗿𝗶𝗻𝗴 𝗠𝗼𝗱𝗲𝗹 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 𝗮𝗻𝗱 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗶𝗻 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴
6:58
Mastering Model Development and Offline Evaluation in Machine Learning
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Mastering Model Development and Offline Evaluation in Machine Learning
7:40
🚀 𝗠𝗮𝘀𝘁𝗲𝗿𝗶𝗻𝗴 𝗙𝗲𝗮𝘁𝘂𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗶𝗻 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: 𝗞𝗲𝘆 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀 🚀
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🚀 𝗠𝗮𝘀𝘁𝗲𝗿𝗶𝗻𝗴 𝗙𝗲𝗮𝘁𝘂𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗶𝗻 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: 𝗞𝗲𝘆 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀 🚀
4:38
Let’s break down Stemming and Lemmatization in NLP in just 60 seconds! 🕒
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Let’s break down Stemming and Lemmatization in NLP in just 60 seconds! 🕒
1:09
Mastering Training Data for ML: How to Build Better Models with Sampling, Labeling & Augmentation
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Mastering Training Data for ML: How to Build Better Models with Sampling, Labeling & Augmentation
5:26
𝗖𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗳𝗼𝗿 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 #shorts
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𝗖𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗳𝗼𝗿 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 #shorts
1:05
Apache Flink Architecture in 6 minutes !
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Apache Flink Architecture in 6 minutes !
6:21
What is Cloud native computing ?
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What is Cloud native computing ?
3:49
GCP: The Google Cloud Platform Compute Stack Explained
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GCP: The Google Cloud Platform Compute Stack Explained
6:21
AWS CloudFormation Template [Anatomy]
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AWS CloudFormation Template [Anatomy]
6:04
[Demo]-1 AWS CloudFormation - Creating Your First Stack
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[Demo]-1 AWS CloudFormation - Creating Your First Stack
5:28
{flair} intro
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{flair} intro
0:20
What is AWS CloudFormation ?
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What is AWS CloudFormation ?
9:24