List: mini projects | Curated by Shresth Shukla | Medium

Feb 24, 2025

6 stories

mini projects

In

TDS Archive

by

Yağmur Çiğdem Aktaş

Track Computer Vision Experiments with MLflow

Discover how to set up an efficient MLflow environment to track your experiments, compare and choose the best model for deployment

Dec 26, 2024

Track Computer Vision Experiments with MLflow

Dec 26, 2024

In

KX Systems

by

Michael Ryaboy

Late Chunking vs Contextual Retrieval: The Math Behind RAG’s Context Problem

In retrieval-augmented generation (RAG), the quality of document embeddings plays a crucial role in retrieval accuracy. While much…

Dec 3, 2024

Late Chunking vs Contextual Retrieval: The Math Behind RAG’s Context Problem

Dec 3, 2024

In

TDS Archive

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Thuwarakesh Murallie

How to Achieve Near Human-Level Performance in Chunking for RAGs

The costly yet powerful splitting technique for superior RAG retrieval

Aug 26, 2024

Agentic chuning offers near human-level performance in chunking

Aug 26, 2024

In

TDS Archive

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Thuwarakesh Murallie

How I Used Clustering to Improve Chunking and Build Better RAGs

It’s both fast and cost-effective

Sep 4, 2024

How I Used Clustering to Improve Chunking and Build Better RAGs

Sep 4, 2024

In

Towards AI

by

Isuru Lakshan Ekanayaka

Automate Your Job Search: AI Applies to 1000 Positions Overnight & Get 100+ Interviews!

In today’s fast-paced and highly competitive job market, finding and securing your dream job can be both time-consuming and exhausting. The…

Nov 23, 2024

Automate Your Job Search: AI Applies to 1000 Positions Overnight & Get 100+ Interviews!

Nov 23, 2024

In

Artificial Intelligence in Plain English

by

Lam Hoang

How Chunk Sizes Affect Semantic Retrieval Results

An in-depth introduction to the concept of “chunking” and its relevance when working with Large Language Models (LLMs).

Mar 11, 2024

How Chunk Sizes Affect Semantic Retrieval Results

Mar 11, 2024

Shresth Shukla
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