Welcome to MLWorks!

Sharing my understanding of Machine learning with simple tutorials.

MLWorks: https://mayurji.github.io/
Github: https://github.com/Mayurji
Medium: https://mayur-ds.medium.com/

How to Build & Run Neural Networks in Metaflow (Hands-On Tutorial)
17:47
How to Build & Run Neural Networks in Metaflow (Hands-On Tutorial)
How to Run ML Models In Metaflow | Step-by-Step Guide
14:12
How to Run ML Models In Metaflow | Step-by-Step Guide
Master MLOps: How to set up Metaflow Locally In Minikube
40:01
Master MLOps: How to set up Metaflow Locally In Minikube
3 Easy Ways To Serialize In Python
13:42
3 Easy Ways To Serialize In Python
How to fine-tune a smol-LM with Hugging Face, TRL, and the smoltalk Dataset
9:45
How to fine-tune a smol-LM with Hugging Face, TRL, and the smoltalk Dataset
Reinforcement Learning: Tasks, Exploration vs Exploitation, and How to Solve Them
11:06
Reinforcement Learning: Tasks, Exploration vs Exploitation, and How to Solve Them
AI-Powered Document Analysis | Visual Grounding with RAG Using Docling
24:13
AI-Powered Document Analysis | Visual Grounding with RAG Using Docling
Docling - The best AI Tool for Document Parsing & PDF Understanding
19:47
Docling - The best AI Tool for Document Parsing & PDF Understanding
Getting started with Reinforcement Learning
16:03
Getting started with Reinforcement Learning
Knowledge Distillation in Machine Learning: Full Tutorial with Code
24:11
Knowledge Distillation in Machine Learning: Full Tutorial with Code
Understanding Speculative Decoding: Boosting LLM Efficiency and Speed
14:37
Understanding Speculative Decoding: Boosting LLM Efficiency and Speed
Getting Started With MCP-Server Using Ollama and Oterm
15:20
Getting Started With MCP-Server Using Ollama and Oterm
vLLM: A Beginner's Guide to Understanding and Using vLLM
14:54
vLLM: A Beginner's Guide to Understanding and Using vLLM
Model Context Protocol 101: The Future of AI Agents
7:55
Model Context Protocol 101: The Future of AI Agents
Mixture of Agents Explained: Simple Implementation with Together AI
12:58
Mixture of Agents Explained: Simple Implementation with Together AI
Build Your Own ChatGPT Locally Using Ollama & OpenWeb-UI | Full Tutorial
26:15
Build Your Own ChatGPT Locally Using Ollama & OpenWeb-UI | Full Tutorial
Mixture of Experts Explained - The Next Evolution in AI Architecture
17:11
Mixture of Experts Explained - The Next Evolution in AI Architecture
How does DPO improve the LLM's performance? | Simple Explanation
12:30
How does DPO improve the LLM's performance? | Simple Explanation
Coding Gradient Descent with Numpy | Step-by-Step Python Guide
12:49
Coding Gradient Descent with Numpy | Step-by-Step Python Guide
KV Caching: Supercharging Transformer Speed!
10:47
KV Caching: Supercharging Transformer Speed!
LoRA Unpacked: A Deep Dive into Low-Rank Adaptation
14:18
LoRA Unpacked: A Deep Dive into Low-Rank Adaptation
How Tokenization Works in LLMs: Exploring Byte Pair Encoding
19:42
How Tokenization Works in LLMs: Exploring Byte Pair Encoding
In Under 30 Minutes, Build A Scalable inference Service Using Ray Serve and Minikube
32:53
In Under 30 Minutes, Build A Scalable inference Service Using Ray Serve and Minikube
Master MLOps: Deploy Ray App with Serve CLI - Step-by-Step Tutorial
10:14
Master MLOps: Deploy Ray App with Serve CLI - Step-by-Step Tutorial
Master MLOps: Scalable Inference Service Using Ray Serve
23:41
Master MLOps: Scalable Inference Service Using Ray Serve
Master MLOps: Harnessing Ray on Minikube for Powerful Distributed Computing!
15:05
Master MLOps: Harnessing Ray on Minikube for Powerful Distributed Computing!
Master MLOps: Harnessing MLFlow & Optuna for Optimal Machine Learning!
25:46
Master MLOps: Harnessing MLFlow & Optuna for Optimal Machine Learning!
Master MLOps: Deploy ML Models on Kubernetes with KServe, MLServer & MLFlow!
41:45
Master MLOps: Deploy ML Models on Kubernetes with KServe, MLServer & MLFlow!
Master MLOps: MLOps with Kubernetes, Setting Up Kubernetes using Minikube!
17:19
Master MLOps: MLOps with Kubernetes, Setting Up Kubernetes using Minikube!
Polars Concatenation: Efficiently Combining DataFrames in Python | Episode 5
10:00
Polars Concatenation: Efficiently Combining DataFrames in Python | Episode 5