AI/ML Resources

Data Pattern Automation With AI and Machine Learning

Pattern recognition and AI improve data workflows, automate insights, and drive efficiency in business processes across industries.

February 19, 2025

by Sandip Gami

· 4,039 Views · 2 Likes

The Impact of Edge Computing on Mobile App Development

Edge computing impacts mobile app development through enhanced privacy, updated AI opportunities, and increased innovation. Here's how.

February 19, 2025

by Zac Amos

· 3,007 Views

Build Scalable GenAI Applications in the Cloud: From Data Preparation to Deployment

Learn key considerations around data preparation, model fine-tuning, deployment strategies, and ethical AI to prepare you to build scalable GenAI applications.

February 19, 2025

by Aravind Nuthalapati

CORE

· 31,254 Views · 2 Likes

Observability and DevTool Platforms for AI Agents

Check the platforms that provide developers with powerful tools to monitor, debug, and optimize AI agents, ensuring their reliability, efficiency, and scalability.

February 19, 2025

by Vidyasagar (Sarath Chandra) Machupalli FBCS

CORE

· 16,058 Views · 5 Likes

Agentic Workflows for Unlocking User Engagement Insights

Learn how to generate actionable insights by having agentic workflows deployed on your user engagement data with the help of CrewAI.

February 19, 2025

by Pavan Vemuri

CORE

· 4,039 Views · 10 Likes

The Recursive Prerequisite [Comic]

Interviewing for a new developer job? You may want to brush up on your knowledge of Quicksort (and recruiting).

February 19, 2025

by Daniel Stori

CORE

· 4,332 Views · 4 Likes

Building Intelligent Microservices With Go and AWS AI Services

The development of intelligent applications has seen exponential growth since the convergence of Microservices architecture and cloud-based AI services.

February 18, 2025

by Sairamakrishna BuchiReddy Karri

· 4,886 Views · 2 Likes

Dive Into Tokenization, Attention, and Key-Value Caching

This article covers how key-value caching works and how it helps optimize large language models. It includes a text generation process to make it easy to understand.

February 18, 2025

by Kailash Thiyagarajan

· 5,154 Views · 1 Like

Creating an Agentic RAG for Text-to-SQL Applications

Agentic RAG simplifies text-to-SQL by modularizing tasks into tools like query transformation, hybrid search, and re-ranking, ensuring accuracy and scalability.

February 18, 2025

by Arjun Bali

· 10,107 Views

The Delegated Chain of Thought Architecture

The D-CoT architecture decouples reasoning from execution in LLM by centralizing reasoning in a "modulith" and delegating execution tasks to specialized modules.

February 18, 2025

by Pier-Jean MALANDRINO

CORE

· 4,591 Views · 4 Likes

Generate Unit Tests With AI Using Ollama and Spring Boot

Run Ollama LLM locally with Spring Boot to generate unit tests for Java. Ensure data privacy, easy setup, and seamless integration with Spring AI.

February 18, 2025

by Amol Gote

CORE

· 8,069 Views · 4 Likes

Multimodal RAG With Colpali, Milvus, and VLMs

Build a multimodal RAG app with ColPali, Milvus, and a visual language model to enable Q&A on PDFs using text and visual data indexed for efficient search.

February 18, 2025

by Saumitra Srivastav

· 1,957 Views · 3 Likes

Search: From Basic Document Retrieval to Answer Generation

Exploring the evolution of document retrieval systems from traditional text-matching and frequency-based methods to advanced ingestion and retrieval strategies.

February 18, 2025

by Meghana Puvvadi

· 2,861 Views · 1 Like

The Slides of Hands-On Agile 2025

The virtual Hands-on Agile 2025 conference held last month discussed embracing the shift to context-based agility, from leadership to strategy to AI.

February 17, 2025

by Stefan Wolpers

CORE

· 5,803 Views · 1 Like

Scaling ML Models Efficiently With Shared Neural Networks

A shared encoder architecture to decouple customer-specific fine-tuned models from the shared encoder to deploy at scale.

February 17, 2025

by Meghana Puvvadi

· 3,078 Views · 7 Likes

Have LLMs Solved the Search Problem?

LLMs, while strong in content generation, need techniques like semantic chunking and vector embeddings to address the search problem in complex data environments.

February 17, 2025

by Avi Dubey

· 3,150 Views · 1 Like

ETL Generation Using GenAI

Learn about how GenAI automates ETL pipelines, generates code, adapts to schema changes, and improves data processes with speed, efficiency, and precision.

February 14, 2025

by Ramesh Daddala

· 6,362 Views · 2 Likes

Unlocking Local AI: Build RAG Apps Without Cloud or API Keys

In this tutorial, we will use Chipper, an open-source framework that simplifies building local RAG applications without cloud dependencies or API keys.

February 14, 2025

by Santhosh Vijayabaskar

CORE

· 6,114 Views · 3 Likes

AI Summarization: Extractive and Abstractive Techniques

Learn how to create an AI-powered summarization tool using Hugging Face and OpenAI, combining extractive and abstractive methods for concise, accurate results.

February 13, 2025

by Vaibhavi Tiwari

· 4,091 Views · 1 Like

Cloud Security Is a Data Problem

As cloud data evolves, we need to learn how data integration, AI, and machine learning help mitigate risks in complex cloud environments and prevent breaches.

February 12, 2025

by Ryan Henrich

· 4,214 Views · 1 Like

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