APIs

  1. Telegram Bot
    2.  - 11 July 2020

Axolotl

  1. Run your finetuned LLM with Ollama
    2.  - 30 May 2024

BigQuery

  1. OLAP - Why, What and How?
    2.  - 24 March 2024

Data Engineering

  1. OLAP - Why, What and How?
    2.  - 24 March 2024

Data Warehousing

  1. OLAP - Why, What and How?
    2.  - 24 March 2024

Deep Learning

  1. The Ultimate Training Loop
    2.  - 20 January 2023
  2. Text Classification:- ULMfit v/s Logistic Regression
    3.  - 25 August 2019

EDA

  1. Distributions
    2.  - 04 June 2021

Fastai

  1. The Ultimate Training Loop
    2.  - 20 January 2023
  2. Text Classification:- ULMfit v/s Logistic Regression
    3.  - 25 August 2019

Finetuning

  1. Finetuning vs RAG - When and Why?
    2.  - 07 June 2024
  2. Run your finetuned LLM with Ollama
    3.  - 30 May 2024

GGUF

  1. Run your finetuned LLM with Ollama
    2.  - 30 May 2024

Happiness

  1. The Quest to Happiness
    2.  - 25 June 2020

Kaggle

  1. Lessons learned from global wheat detection competition
    2.  - 28 August 2020

LLM

  1. Finetuning vs RAG - When and Why?
    2.  - 07 June 2024

LLMs

  1. Function Calling (Part 2)
    2.  - 19 June 2024
  2. Generating Structured Output with LLMs (Part 1)
    3.  - 17 June 2024
  3. Run your finetuned LLM with Ollama
    4.  - 30 May 2024
  4. All about Retrieval in RAG
    5.  - 24 May 2024

LangChain

  1. All about Retrieval in RAG
    2.  - 24 May 2024

Llama-cpp

  1. Run your finetuned LLM with Ollama
    2.  - 30 May 2024

MLOps

  1. Packaging ML models using MLflow
    2.  - 25 February 2022
  2. MLflow Tracking
    3.  - 18 February 2022

Machine Learing

  1. Text Classification:- ULMfit v/s Logistic Regression
    2.  - 25 August 2019

Machine Learning

  1. Deploying ML models with flask
    2.  - 29 January 2020
  2. Complete workflow of a Machine Learning project
    3.  - 11 February 2019

NLP

  1. Text Classification:- ULMfit v/s Logistic Regression
    2.  - 25 August 2019

Notes

  1. The Quest to Happiness
    2.  - 25 June 2020

OLAP

  1. OLAP - Why, What and How?
    2.  - 24 March 2024

Object detection

  1. Lessons learned from global wheat detection competition
    2.  - 28 August 2020

Ollama

  1. Run your finetuned LLM with Ollama
    2.  - 30 May 2024

OpenAI

  1. Function Calling (Part 2)
    2.  - 19 June 2024
  2. Generating Structured Output with LLMs (Part 1)
    3.  - 17 June 2024

Preprocessing

  1. Complete workflow of a Machine Learning project
    2.  - 11 February 2019

Python

  1. Why you should always use Pathlib?
    2.  - 21 November 2020

Pytorch

  1. The Ultimate Training Loop
    2.  - 20 January 2023
  2. Packaging ML models using MLflow
    3.  - 25 February 2022
  3. MLflow Tracking
    4.  - 18 February 2022
  4. Lessons learned from global wheat detection competition
    5.  - 28 August 2020

RAG

  1. Finetuning vs RAG - When and Why?
    2.  - 07 June 2024
  2. All about Retrieval in RAG
    3.  - 24 May 2024

Retrieval

  1. All about Retrieval in RAG
    2.  - 24 May 2024

SQL

  1. SQLite - Light & Powerful
    2.  - 13 December 2020

Sklearn

  1. Complete workflow of a Machine Learning project
    2.  - 11 February 2019

Snowflake

  1. OLAP - Why, What and How?
    2.  - 24 March 2024

Statistics

  1. Distributions
    2.  - 04 June 2021

Tips N Tricks

  1. Telegram Bot
    2.  - 11 July 2020

advance

  1. The Hitchhiker's Guide to `sys.path`
    2.  - 30 April 2022

beginner

  1. Why Python !?
    2.  - 16 March 2021
  2. Debugging in Python
    3.  - 27 February 2021

databases

  1. SQLite - Light & Powerful
    2.  - 13 December 2020

debugging

  1. Debugging in Python
    2.  - 27 February 2021

fast.ai

  1. Complete workflow of a Machine Learning project
    2.  - 11 February 2019

flask

  1. Deploying ML models with flask
    2.  - 29 January 2020

programming

  1. Why Python !?
    2.  - 16 March 2021

python

  1. The Hitchhiker's Guide to `sys.path`
    2.  - 30 April 2022
  2. Why Python !?
    3.  - 16 March 2021
  3. Debugging in Python
    4.  - 27 February 2021

web development

  1. Deploying ML models with flask
    2.  - 29 January 2020

writing better code

  1. Why you should always use Pathlib?
    2.  - 21 November 2020
  2. Lessons learned from global wheat detection competition
    3.  - 28 August 2020