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30 Days of AI Series' Articles

Back to Suresh Kumar Pallapothu's Series

Suresh Kumar Pallapothu

Oct 2

Day 1: Demystifying AI — From Buzzword to Business Logic

#ai #machinelearning #30dayaiseries

4 min read

Suresh Kumar Pallapothu

Oct 2

Day 2: How Machines Actually Learn — Supervised, Unsupervised and Reinforcement Learning

#ai #machinelearning #30dayaiseries

4 min read

Suresh Kumar Pallapothu

Oct 3

Day 3: Inside Neural Networks — The Engine of Modern Deep Learning

#ai #deeplearning #30dayaiseries

4 min read

Suresh Kumar Pallapothu

Oct 4

Day 4: The AI Project Lifecycle — From Raw Data to Production Deployment

#ai #mlops #30dayaiseries

6 min read

Suresh Kumar Pallapothu

Oct 5

Day 5: The Math Behind the Magic — Why Linear Algebra and Probability Matter

#ai #math #30dayaiseries

6 min read

Suresh Kumar Pallapothu

Oct 7

Day 6: Data Preprocessing — Cleaning the Messy Reality of Enterprise Data

#ai #datapreprocessing #30dayaiseries

6 min read

Suresh Kumar Pallapothu

Oct 7

Day 7: Measuring Success — Understanding Accuracy, Precision, Recall and F1 Scores

#ai #modelevaluation #30dayaiseries

4 min read

Suresh Kumar Pallapothu

Oct 8

Day 8: Introduction to LLMs & The Modern AI API Landscape

#ai #llm #30dayaiseries

3 min read

Suresh Kumar Pallapothu

Oct 9

Day 9: Advanced Prompt Engineering — Few-Shot, Chain-of-Thought and Structured JSON

#ai #promptengineering #30dayaiseries

3 min read

Suresh Kumar Pallapothu

Oct 10

Day 10: Tokenization, Context Windows and Cost Optimization

#ai #tokens #30dayaiseries

3 min read

Suresh Kumar Pallapothu

Oct 11

Day 11: Embeddings and Vector Representations — How Machines Map Meaning

#ai #embeddings #30dayaiseries

3 min read

Suresh Kumar Pallapothu

Oct 12

Day 12: Vector Databases — Storing and Searching Enterprise Knowledge

#ai #vectordatabase #30dayaiseries

3 min read

Suresh Kumar Pallapothu

Oct 13

Day 13: Retrieval-Augmented Generation (RAG) — Chatting with Proprietary Documents

#ai #rag #30dayaiseries

3 min read

Suresh Kumar Pallapothu

Oct 14

Day 14: RAG Evaluation and Hallucination Guardrails

#ai #rag #30dayaiseries

3 min read

Suresh Kumar Pallapothu

Oct 15

Day 15: Introduction to AI Infrastructure — Hardware, Runtimes and Compute

#ai #infrastructure #30dayaiseries

3 min read

Suresh Kumar Pallapothu

Oct 16

Day 16: Local Model Execution — Running Open-Weight LLMs Securely with Ollama and vLLM

#ai #ollama #vllm #30dayaiseries

4 min read

Suresh Kumar Pallapothu

Oct 17

Day 17: Containerizing AI Workloads — Production Dockerfiles for Python APIs

#ai #docker #30dayaiseries

3 min read

Suresh Kumar Pallapothu

Oct 18

Day 18: Docker Compose for Multi-Container AI Stacks

#ai #dockercompose #30dayaiseries

3 min read

Suresh Kumar Pallapothu

Oct 19

Day 19: Kubernetes for AI 101 — Pods, Deployments and Services for Model Serving

#ai #kubernetes #30dayaiseries

3 min read

Suresh Kumar Pallapothu

Oct 20

Day 20: Persistent Storage in Kubernetes — Managing State, Weights and Vector Indices

#ai #kubernetes #30dayaiseries

3 min read

Suresh Kumar Pallapothu

Oct 21

Day 21: High-Performance Networking — Ingress and Egress for AI Clusters

#ai #kubernetes #networking #30dayaiseries

4 min read

Suresh Kumar Pallapothu

Oct 22

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

#ai #agents #30dayaiseries

3 min read

Suresh Kumar Pallapothu

Oct 23

Day 23: Tool Use and Function Calling — Connecting LLMs to APIs, Databases and Shells

#ai #functioncalling #30dayaiseries

3 min read

Suresh Kumar Pallapothu

Oct 24

Day 24: Multi-Agent Orchestration — Supervisor, Worker and Evaluator Patterns

#ai #agents #multiagent #30dayaiseries

3 min read