AI/ML Resources

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

· 5,708 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

· 6,006 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

· 6,351 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

· 7,062 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

· 3,444 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

· 8,041 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

· 17,039 Views · 3 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

· 9,326 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 Hack ER

· 4,318 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

· 6,327 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

· 3,165 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

· 3,882 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

· 3,904 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

· 6,657 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

· 7,529 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

· 5,045 Views · 1 Like

The Importance of AI System Memory

The key to personalized AI intelligence is having scalable and controllable memory that can track and recall activities over a period of time.

January 14, 2025

by Bhala Ranganathan

CORE

· 4,842 Views · 2 Likes

Azure AI and GPT-4: Real-World Applications and Best Practices

This article discusses how developers can take advantage of Azure AI and GPT-4 with real-world applications, actionable insights, and best practices.

January 14, 2025

by Vasanthi Govindaraj

· 4,204 Views · 2 Likes

The Rise Of Reasoner Models: Scaling Test-Time Compute

Reasoner models enhance problem-solving by "thinking longer" with test-time compute, improving accuracy in math and coding tasks through iterative refinement.

January 14, 2025

by Roger Oriol

· 2,203 Views · 1 Like

Using Snowflake Cortex for GenAI

This guide explains how to use Snowflake Cortex for GenAI, including key features, setup, use cases, and best practices.

January 13, 2025

by Sevinthi Kali Sankar Nagarajan

· 4,383 Views · 2 Likes

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