List: machine-learning | Curated by Ngoc Phan

Feb 20, 2025

26 stories

machine-learning
In
Data Science Collective
by
Eric Broda
Agentic Mesh: Patterns for an Agent EcosystemUnlocking organizational, communication, role, and functional agent patterns that shape Agentic Mesh, the autonomous agent ecosystem.
Feb 10
491
9
Feb 10
491
9
Amos Gyamfi
The Best Pre-Built Toolkits for AI AgentsPython and TypeScript-based AI agent frameworks, CrewAI, LangChain, Agno, and Vercel AI SDK allow developers to build AI applications with…
Feb 10
480
3
Feb 10
480
3
Yash Bhaskar
Decoding the Scanned Page: Best Methods for Extracting Text from Complex Scanned PDFsScanned PDFs are a common hurdle for anyone trying to extract information. Unlike digital-native PDFs, scanned documents often present text…
Jan 9
306
2
Jan 9
306
2
In
Level Up Coding
by
Cristian Leo
The Math Behind DeepSeek-R1How Reinforcement Learning Teaches Large Language Models to Reason
Jan 28
662
8
Jan 28
662
8
In
Level Up Coding
by
Dr. Ashish Bamania
DeepSeek-R1 Beats OpenAI’s o1, Revealing All Its Training Secrets Out In The OpenA deep dive into how DeepSeek-R1 was trained from scratch and how this open-source research will accelerate AI progress like never before.
Jan 27
1.3K
31
Jan 27
1.3K
31
In
Towards AI
by
Towards AI Editorial Team
#60: DeepSeek, CAG, and the Future of AI ReasoningHow DeepSeek-R1 is shaking up AI, why Cache-Augmented Generation (CAG) challenges RAG, and what’s next for AI agents.
Jan 30
14
Jan 30
14
In
Towards AI
by
Gao Dalie (高達烈)
Browser-use + LightRAG Agent That Can Scrape 99% websites with LLM!!In this story, I have a quick tutorial showing how to create a powerful chatbot using Browser-use, LightRAG, and a local LLM to develop an…
Nov 20, 2024
1.1K
9
Nov 20, 2024
1.1K
9
In
Level Up Coding
by
Dr. Ashish Bamania
Memory Layers Are Supercharging LLMs Like Never BeforeA deep dive into how Memory layers work and how they supercharge the performance of LLMs.
Jan 21
908
18
Jan 21
908
18
In
AI Advances
by
Kshitij Kutumbe
LangGraph: Building a Dynamic Order Management System : A Step-by-Step TutorialIn this extremely detailed tutorial, we’ll explore LangGraph — a powerful library for orchestrating complex, multi-step workflows with…
Jan 20
503
7
Jan 20
503
7
In
Level Up Coding
by
Dr. Ashish Bamania
Fourier Analysis Networks (FANs) Are Here To Break Barriers In AIA deep dive into Fourier Analysis Networks (FANs), a novel neural network architecture and learning to build one from scratch.
Dec 6, 2024
1.8K
20
Dec 6, 2024
1.8K
20
In
TDS Archive
by
Rohit Patel
Understanding LLMs from Scratch Using Middle School MathIn this article, we talk about how LLMs work, from scratch — assuming only that you know how to add and multiply two numbers. The article…
Oct 19, 2024
6.8K
87
Oct 19, 2024
6.8K
87
In
TDS Archive
by
Han HELOIR, Ph.D. ☕️
The Art of Chunking: Boosting AI Performance in RAG ArchitecturesThe Key to Effective AI-Driven Retrieval
Aug 18, 2024
1.6K
16
Aug 18, 2024
1.6K
16
Irina Adamchic
RAG on Graph DB using Fixed Entity Architecture: make you retrieval work for youApplications of Graph approaches in RAG — current state
Aug 24, 2024
421
5
Aug 24, 2024
421
5
The Tenyks Blogger
Multi-modal Image Search with Embeddings & Vector DBsUse embeddings with Vector DBs to perform multi-modal search on images.
Aug 28, 2023
187
1
Aug 28, 2023
187
1
The Tenyks Blogger
SAM 2 + GPT-4o — Cascading Foundation Models via Visual Prompting — Part 2We show you how foundation models can be connected together using visual prompting!
Aug 16, 2024
65
1
Aug 16, 2024
65
1
In
TDS Archive
by
Joseph Rocca
Understanding Variational Autoencoders (VAEs)Building, step by step, the reasoning that leads to VAEs.
Sep 24, 2019
13.1K
115
Sep 24, 2019
13.1K
115
Rubens Zimbres
Use LLMs to Turn CSVs into Knowledge Graphs: A Case in HealthcareRecently I read a post where neo4j-runway was presented. According to their Github page, “Neo4j Runway is a Python library that simplifies…
Jun 22, 2024
998
8
Jun 22, 2024
998
8
In
Data And Beyond
by
Pavan Belagatti
Vector Databases: A Beginner’s Guide!In the age of burgeoning data complexity and high-dimensional information, traditional databases often fall short when it comes to…
Aug 25, 2023
1.3K
10
Aug 25, 2023
1.3K
10
In
Towards AI
by
Joseph Robinson, Ph.D.
The Fundamental Mathematics of Machine LearningA Deep Dive into Vector Norms, Linear Algebra, Calculus
Jul 26, 2024
1.7K
13
Jul 26, 2024
1.7K
13
In
Pinterest Engineering Blog
by
Pinterest Engineering
How we built Text-to-SQL at PinterestAdam Obeng | Data Scientist, Data Platform Science; J.C. Zhong | Tech Lead, Analytics Platform; Charlie Gu | Sr. Manager, Engineering
Apr 2, 2024
2.6K
22
Apr 2, 2024
2.6K
22

machine-learning

Agentic Mesh: Patterns for an Agent Ecosystem

Unlocking organizational, communication, role, and functional agent patterns that shape Agentic Mesh, the autonomous agent ecosystem.

The Best Pre-Built Toolkits for AI Agents

Python and TypeScript-based AI agent frameworks, CrewAI, LangChain, Agno, and Vercel AI SDK allow developers to build AI applications with…

Decoding the Scanned Page: Best Methods for Extracting Text from Complex Scanned PDFs

Scanned PDFs are a common hurdle for anyone trying to extract information. Unlike digital-native PDFs, scanned documents often present text…

The Math Behind DeepSeek-R1

How Reinforcement Learning Teaches Large Language Models to Reason

DeepSeek-R1 Beats OpenAI’s o1, Revealing All Its Training Secrets Out In The Open

A deep dive into how DeepSeek-R1 was trained from scratch and how this open-source research will accelerate AI progress like never before.

#60: DeepSeek, CAG, and the Future of AI Reasoning

How DeepSeek-R1 is shaking up AI, why Cache-Augmented Generation (CAG) challenges RAG, and what’s next for AI agents.

Browser-use + LightRAG Agent That Can Scrape 99% websites with LLM!!

In this story, I have a quick tutorial showing how to create a powerful chatbot using Browser-use, LightRAG, and a local LLM to develop an…

Memory Layers Are Supercharging LLMs Like Never Before

A deep dive into how Memory layers work and how they supercharge the performance of LLMs.

LangGraph: Building a Dynamic Order Management System : A Step-by-Step Tutorial

In this extremely detailed tutorial, we’ll explore LangGraph — a powerful library for orchestrating complex, multi-step workflows with…

Fourier Analysis Networks (FANs) Are Here To Break Barriers In AI

A deep dive into Fourier Analysis Networks (FANs), a novel neural network architecture and learning to build one from scratch.

Understanding LLMs from Scratch Using Middle School Math

In this article, we talk about how LLMs work, from scratch — assuming only that you know how to add and multiply two numbers. The article…

The Art of Chunking: Boosting AI Performance in RAG Architectures

The Key to Effective AI-Driven Retrieval

RAG on Graph DB using Fixed Entity Architecture: make you retrieval work for you

Applications of Graph approaches in RAG — current state

Multi-modal Image Search with Embeddings & Vector DBs

Use embeddings with Vector DBs to perform multi-modal search on images.

SAM 2 + GPT-4o — Cascading Foundation Models via Visual Prompting — Part 2

We show you how foundation models can be connected together using visual prompting!

Understanding Variational Autoencoders (VAEs)

Building, step by step, the reasoning that leads to VAEs.

Use LLMs to Turn CSVs into Knowledge Graphs: A Case in Healthcare

Recently I read a post where neo4j-runway was presented. According to their Github page, “Neo4j Runway is a Python library that simplifies…

Vector Databases: A Beginner’s Guide!

In the age of burgeoning data complexity and high-dimensional information, traditional databases often fall short when it comes to…

The Fundamental Mathematics of Machine Learning

A Deep Dive into Vector Norms, Linear Algebra, Calculus

How we built Text-to-SQL at Pinterest

Adam Obeng | Data Scientist, Data Platform Science; J.C. Zhong | Tech Lead, Analytics Platform; Charlie Gu | Sr. Manager, Engineering

Ngoc Phan

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