AI/ML Resources

"Fix with AI" Button to Automate Playwright Test Fixes

A guide to using AI tools like ChatGPT and Copilot to automatically fix Playwright test failures, thus streamlining your testing process and improving app reliability.

January 24, 2025

by Shivam Bharadwaj

· 3,540 Views · 1 Like

What OpenAI's Reasoning Models Mean for GPT and AI

OpenAI’s reasoning models hint at a future where AI goes beyond generating content to truly understanding and solving complex problems.

January 23, 2025

by Mandeep Kaur

· 3,573 Views · 2 Likes

Building an AI-Powered Cold Email System With CrewAI

Learn how to build a CrewAI-powered system for automating cold email outreach. Explore AI agents, YAML configuration, and real-world software integration.

January 23, 2025

by Aditya Karnam Gururaj Rao

· 4,380 Views · 3 Likes

Powering LLMs With Apache Camel and LangChain4j

Learn how to use Apache Camel with LangChain4j to provide LLMs with the ability to call tools, enhancing your integration workflows.

January 23, 2025

by Miguel Delgadillo

· 4,917 Views · 3 Likes

Understanding HyperLogLog for Estimating Cardinality

Learn about the probabilistic algorithm designed to estimate the cardinality of a dataset with both high accuracy and low memory usage.

January 23, 2025

by Bhala Ranganathan

CORE

· 5,256 Views · 2 Likes

Fresh Data for AI With Spring AI Function Calls

Learn to integrate AI function calls using Spring AI for APIs like OpenLibrary, with JSON and text responses, and display results in Angular Material Tree.

January 22, 2025

by Sven Loesekann

· 5,732 Views · 5 Likes

Context Is King: How LLMs Are Going to Change Code Generation in Modern IDEs

Your AI code completion tools that just don’t grasp your project? Today’s modern IDEs are integrating advanced LLMs that truly comprehend your codebase.

January 22, 2025

by balaji thadagam kandavel

· 6,125 Views · 2 Likes

Serverless AI Inference

Serverless platforms abstract out the complexities involved in the deployment of machine learning models, handle compute demand and help reduce infrastructure costs.

January 22, 2025

by Bhala Ranganathan

CORE

· 6,789 Views · 2 Likes

Choose a Database With Hybrid Vector Search for AI Apps

Semantic and traditional search capabilities are needed for AI applications. In this article, we look at the features that LLM/RAG applications need to succeed.

January 21, 2025

by John Lafleur

· 3,308 Views · 2 Likes

Structured Logging in Spring Boot 3.4 for Improved Logs

Comparison of structured logging with traditional logging, its uses, and advancements in Spring Framework 6.2 and Spring Boot 3.4.

January 21, 2025

by Karthik Kamarapu

· 7,336 Views · 6 Likes

Real-Time Data Streaming With AI

Real-time data streaming combined with AI transforms traditional analytics by enabling instant insights, scalability, and improved decision-making.

January 20, 2025

by Suri (thammuio)

CORE

· 16,807 Views · 2 Likes

Evolution of Recommendation Systems: From Legacy Rules Engines to Machine Learning

Legacy rules engines offer predictable automation but lack scalability and personalization; ML revolutionized this by enabling adaptive, data-driven decisions.

January 20, 2025

by Rambabu Bandam

· 9,033 Views · 2 Likes

A Guide to Deploying AI for Real-Time Content Moderation

A step-by-step guide to deploying an AI-powered real-time content moderation system, covering data collection, processing, models, and human review.

January 20, 2025

by Rahul JAIN

· 3,847 Views

Chain-of-Thought Prompting: A Comprehensive Analysis of Reasoning Techniques in Large Language Models

Chain-of-thought (CoT) prompting enables LLMs to improve their reasoning capabilities. This paper explores various CoT techniques and their practical limitations.

January 20, 2025

by Pier-Jean MALANDRINO

CORE

· 5,711 Views · 3 Likes

Creating Artificial Doubt Significantly Improves AI Math Accuracy

LLMs are better at math with a "verified reasoning trajectory" — an opportunity to review their steps and determine if the math they're doing makes sense.

January 17, 2025

by mike labs

· 3,063 Views

Talk to Your Project: An LLM Experiment You Can Join and Build On

Find out the result of my experiment on integrating LLM into a console application and the insights I gained from the experience.

January 17, 2025

by Filipp Shcherbanich

CORE

· 3,529 Views · 2 Likes

Bye Tokens, Hello Patches

Meta's BLT architecture is a better way to scale LLMs that may lead us to replace tokenization with a patches-based approach.

January 15, 2025

by mike labs

· 3,786 Views · 2 Likes

Data-First IDP: Driving AI Innovation in Developer Platforms

A Data-First IDP integrates governance, traceability, and quality into workflows, transforming how data is managed, enabling scalable, AI-ready ecosystems.

January 15, 2025

by Paul Gale

· 6,470 Views · 2 Likes

Personalized Search Optimization Using Semantic Models and Context-Aware NLP for Improved Results

This tutorial shows how to build a semantic search engine using Hugging Face transformers to deliver more accurate, context-aware results.

January 15, 2025

by Venkata Gummadi

· 7,326 Views · 1 Like

Distributed Training at Scale

Distributed training accelerates machine learning training by splitting tasks across multiple devices or machines, improving performance and scalability.

January 15, 2025

by Bhala Ranganathan

CORE

· 4,630 Views · 1 Like

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