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Day 22: Autonomous Agents — From Passive LLMs to Goal-Driven Execution
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Day 22: Autonomous Agents — From Passive LLMs to Goal-Driven Execution

#ai #agents #30dayaiseries
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3 min read
Day 20: Persistent Storage in Kubernetes — Managing State, Weights and Vector Indices
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Day 20: Persistent Storage in Kubernetes — Managing State, Weights and Vector Indices

#ai #kubernetes #30dayaiseries
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3 min read
Day 19: Kubernetes for AI 101 — Pods, Deployments and Services for Model Serving
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Day 19: Kubernetes for AI 101 — Pods, Deployments and Services for Model Serving

#ai #kubernetes #30dayaiseries
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3 min read
Day 17: Containerizing AI Workloads — Production Dockerfiles for Python APIs
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Day 17: Containerizing AI Workloads — Production Dockerfiles for Python APIs

#ai #docker #30dayaiseries
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3 min read
Day 18: Docker Compose for Multi-Container AI Stacks
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Day 18: Docker Compose for Multi-Container AI Stacks

#ai #dockercompose #30dayaiseries
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3 min read
Day 12: Vector Databases — Storing and Searching Enterprise Knowledge
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Day 12: Vector Databases — Storing and Searching Enterprise Knowledge

#ai #vectordatabase #30dayaiseries
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3 min read
Day 16: Local Model Execution — Running Open-Weight LLMs Securely with Ollama and vLLM
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Day 16: Local Model Execution — Running Open-Weight LLMs Securely with Ollama and vLLM

#ai #ollama #vllm #30dayaiseries
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4 min read
Day 11: Embeddings and Vector Representations — How Machines Map Meaning
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Day 11: Embeddings and Vector Representations — How Machines Map Meaning

#ai #embeddings #30dayaiseries
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3 min read
Day 10: Tokenization, Context Windows and Cost Optimization
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Day 10: Tokenization, Context Windows and Cost Optimization

#ai #tokens #30dayaiseries
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3 min read
Day 9: Advanced Prompt Engineering — Few-Shot, Chain-of-Thought and Structured JSON
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Day 9: Advanced Prompt Engineering — Few-Shot, Chain-of-Thought and Structured JSON

#ai #promptengineering #30dayaiseries
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3 min read
Day 8: Introduction to LLMs & The Modern AI API Landscape
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Day 8: Introduction to LLMs & The Modern AI API Landscape

#ai #llm #30dayaiseries
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3 min read
Day 7: Measuring Success — Understanding Accuracy, Precision, Recall and F1 Scores
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Day 7: Measuring Success — Understanding Accuracy, Precision, Recall and F1 Scores

#ai #modelevaluation #30dayaiseries
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4 min read
Day 6: Data Preprocessing — Cleaning the Messy Reality of Enterprise Data
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Day 6: Data Preprocessing — Cleaning the Messy Reality of Enterprise Data

#ai #datapreprocessing #30dayaiseries
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6 min read
Day 5: The Math Behind the Magic — Why Linear Algebra and Probability Matter
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Day 5: The Math Behind the Magic — Why Linear Algebra and Probability Matter

#ai #math #30dayaiseries
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6 min read
Day 4: The AI Project Lifecycle — From Raw Data to Production Deployment
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Day 4: The AI Project Lifecycle — From Raw Data to Production Deployment

#ai #mlops #30dayaiseries
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6 min read
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