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Akhilesh

Just a guy who enjoys building stuff and trying out new ideas.

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Writing Debut
98. RAG: Give Your AI Access to Your Documents

98. RAG: Give Your AI Access to Your Documents

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11 min read

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97. Embeddings and Vector Search: Semantic Search That Works

97. Embeddings and Vector Search: Semantic Search That Works

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11 min read
96. LoRA: Fine-Tune a Billion-Parameter Model on a Laptop

96. LoRA: Fine-Tune a Billion-Parameter Model on a Laptop

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10 min read
95. Fine-Tuning LLMs: Make a General Model Do Your Specific Job

95. Fine-Tuning LLMs: Make a General Model Do Your Specific Job

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10 min read
94. HuggingFace: Your Library for Every Pretrained Model

94. HuggingFace: Your Library for Every Pretrained Model

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10 min read
93. GPT: The Model That Predicts the Next Word Forever

93. GPT: The Model That Predicts the Next Word Forever

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11 min read
92. BERT: The Model That Reads in Both Directions

92. BERT: The Model That Reads in Both Directions

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10 min read
The AI That Manages Its Own Memory: Why Recursive Language Models Are the Next Big Shift in AI

The AI That Manages Its Own Memory: Why Recursive Language Models Are the Next Big Shift in AI

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10 min read
90. Phase 8 Capstone: Build a Full AI Application

90. Phase 8 Capstone: Build a Full AI Application

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10 min read
89. The Claude API: Building with Anthropic's Models

89. The Claude API: Building with Anthropic's Models

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9 min read
88. The OpenAI API: Everything You Can Build

88. The OpenAI API: Everything You Can Build

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9 min read
91. The Transformer Architecture: The Invention That Changed AI

91. The Transformer Architecture: The Invention That Changed AI

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10 min read
87. Build a Chatbot: From Zero to Working AI Assistant

87. Build a Chatbot: From Zero to Working AI Assistant

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10 min read
86. RAG: Giving Language Models Long-Term Memory

86. RAG: Giving Language Models Long-Term Memory

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7 min read
85. Embeddings and Vector Search: Memory for Language Models

85. Embeddings and Vector Search: Memory for Language Models

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8 min read
I evaluated my self-trained LLM what 31% accuracy actually means

I evaluated my self-trained LLM what 31% accuracy actually means

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2 min read
84. Fine-Tuning LLMs: Teaching Giants New Tricks

84. Fine-Tuning LLMs: Teaching Giants New Tricks

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8 min read
83. HuggingFace: Your Library for Every Pretrained Model

83. HuggingFace: Your Library for Every Pretrained Model

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8 min read
82. GPT: The Art of Predicting the Next Word

82. GPT: The Art of Predicting the Next Word

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9 min read
81. BERT: Understanding Language Deeply

81. BERT: Understanding Language Deeply

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8 min read
80. The Transformer: The Architecture That Changed Everything

80. The Transformer: The Architecture That Changed Everything

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9 min read
79. The Attention Mechanism: Focus on Important Parts

79. The Attention Mechanism: Focus on Important Parts

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9 min read
78. Word Embeddings: Words as Numbers That Actually Mean Something

78. Word Embeddings: Words as Numbers That Actually Mean Something

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7 min read
70. Hyperparameter Tuning: Finding the Best Settings.

70. Hyperparameter Tuning: Finding the Best Settings.

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10 min read
69. Feature Engineering: Building Better Inputs

69. Feature Engineering: Building Better Inputs

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10 min read
68. PCA: Shrinking Data Without Losing Information

68. PCA: Shrinking Data Without Losing Information

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9 min read
67. DBSCAN: Clustering That Handles Messy Data

67. DBSCAN: Clustering That Handles Messy Data

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9 min read
66. K-Means Clustering: Find Groups Without Labels

66. K-Means Clustering: Find Groups Without Labels

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9 min read
65. ROC Curves and AUC: Comparing Models Fairly

65. ROC Curves and AUC: Comparing Models Fairly

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10 min read
64. Precision and Recall: Beyond Accuracy

64. Precision and Recall: Beyond Accuracy

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9 min read
63. Confusion Matrix: What Your Model Got Wrong and Why

63. Confusion Matrix: What Your Model Got Wrong and Why

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9 min read
62. Naive Bayes: Fast, Simple, Surprisingly Effective

62. Naive Bayes: Fast, Simple, Surprisingly Effective

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9 min read
61. K-Nearest Neighbors: Judge by Your Company

61. K-Nearest Neighbors: Judge by Your Company

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9 min read
60. Support Vector Machines: Drawing the Perfect Boundary

60. Support Vector Machines: Drawing the Perfect Boundary

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8 min read
59. XGBoost: The Algorithm That Wins Competitions

59. XGBoost: The Algorithm That Wins Competitions

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8 min read
58. Random Forest: Why One Tree Isn't Enough

58. Random Forest: Why One Tree Isn't Enough

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8 min read
The Open Source AI Model That Actually Surprised Me

Gemma 4 Challenge: Write about Gemma 4 Submission

The Open Source AI Model That Actually Surprised Me

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5 min read
Building a RAG pipeline without OpenAI

Building a RAG pipeline without OpenAI

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2 min read
57. Decision Trees: The AI That Plays 20 Questions

57. Decision Trees: The AI That Plays 20 Questions

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8 min read
56. Logistic Regression: Classification With a Probability

56. Logistic Regression: Classification With a Probability

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8 min read
55. Multiple Regression: More Features, More Power (And More Ways to Break Things)

55. Multiple Regression: More Features, More Power (And More Ways to Break Things)

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7 min read
54. Linear Regression: Predicting Numbers From Patterns

54. Linear Regression: Predicting Numbers From Patterns

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7 min read
I trained my own LLM and published it on HuggingFace

I trained my own LLM and published it on HuggingFace

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2 min read
53. Overfitting: When Your Model Is Too Good at Being Wrong

53. Overfitting: When Your Model Is Too Good at Being Wrong

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7 min read
52. The Rule That Prevents You From Cheating Your Own Model

52. The Rule That Prevents You From Cheating Your Own Model

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7 min read
How I built a medical dataset pipeline for LLM fine-tuning

How I built a medical dataset pipeline for LLM fine-tuning

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2 min read
51. What Machine Learning Actually Is (No Hype)

51. What Machine Learning Actually Is (No Hype)

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6 min read
50. Virtual Environments: Why Your Projects Keep Breaking Each Other

50. Virtual Environments: Why Your Projects Keep Breaking Each Other

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6 min read
49. Google Colab: Free GPUs in Your Browser

49. Google Colab: Free GPUs in Your Browser

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7 min read
Jupyter Notebooks: Where Data Science Actually Happens

Jupyter Notebooks: Where Data Science Actually Happens

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7 min read
GitHub: Put Your Work Where Anyone Can See It

GitHub: Put Your Work Where Anyone Can See It

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7 min read
Setting up my ML environment from scratch: MedMind

Setting up my ML environment from scratch: MedMind

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2 min read
Git: Version Control For People Who've Lost Code Before

Git: Version Control For People Who've Lost Code Before

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7 min read
Python Meets SQL: Pandas and Databases Together

Python Meets SQL: Pandas and Databases Together

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7 min read
Window Functions: SQL's Most Powerful Feature Nobody Uses

Window Functions: SQL's Most Powerful Feature Nobody Uses

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8 min read
Subqueries and CTEs: SQL Gets Readable

Subqueries and CTEs: SQL Gets Readable

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6 min read
The Most Underrated Announcement at Google Cloud NEXT '26 Nobody Is Talking About

Google Cloud NEXT '26 Challenge Submission

The Most Underrated Announcement at Google Cloud NEXT '26 Nobody Is Talking About

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6 min read
Joins: Combining Tables Without Losing Your Mind

Joins: Combining Tables Without Losing Your Mind

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8 min read
Aggregations: Counting, Summing, and Averaging Your Data

Aggregations: Counting, Summing, and Averaging Your Data

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7 min read
SQL Basics: Talking to a Database for the First Time

SQL Basics: Talking to a Database for the First Time

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7 min read
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