LLM Development

Building with large language models

admin June 03, 2026 1 min read

Direct Preference Optimization: Expanding AI Training Beyond Chatbots

Explore how Direct Preference Optimization (DPO) is revolutionizing AI training methods beyond traditional chatbot applications, opening new possibilities for specialized AI systems.

LLM Development

admin June 02, 2026 4 min read

Mastering Hyperparameter Optimization: Building Custom AI Models with Amazon Nova Forge

Learn the art and science of fine-tuning large language models for specialized domains while avoiding catastrophic forgetting and expensive training failures.

LLM Development

admin June 02, 2026 2 min read

Holo3.1: The Next Generation of Fast & Local Computer Use Agents

Discover how Holo3.1 is revolutionizing AI computer use agents with faster processing and local deployment capabilities for enhanced privacy and performance.

LLM Development

admin June 01, 2026 4 min read

Scaling Enterprise AI with Amazon Bedrock AgentCore Gateway: New MCP Features for Production Deployments

Discover how Amazon Bedrock AgentCore Gateway's latest updates enable enterprise-grade Model Context Protocol deployments with centralized security, dynamic discovery, and unified tool management.

LLM Development

admin June 01, 2026 2 min read

JetBrains Launches Mellum2: A Promising 12B Mixture-of-Experts Model for Developers

JetBrains has unveiled Mellum2, a 12 billion parameter Mixture-of-Experts model that could revolutionize how developers interact with AI-powered coding assistants.

LLM Development

admin May 30, 2026 3 min read

Building Production-Ready LLM Observability: Beyond Basic Metrics to Quality Monitoring

Learn how to implement comprehensive observability for large language models in production, covering both infrastructure metrics and AI output quality monitoring using AWS SageMaker and Grafana.

LLM Development

admin May 29, 2026 3 min read

Building Low-Resource Language Models: How Azercell Created an Azerbaijani LLM with 58% Memory Savings

Discover how Azercell Telecom partnered with AWS to build the first production-ready Azerbaijani language model, achieving 2x tokenization efficiency and dramatic memory optimizations using innovative prompt engineering techniques.

LLM Development

admin May 29, 2026 2 min read

Understanding PyTorch Profiling: Essential Tools for AI Model Optimization

Learn how PyTorch's torch.profiler can help you identify bottlenecks and optimize your AI models for better performance and efficiency.

LLM Development

admin May 28, 2026 3 min read

Revolutionizing AML Alert Triage: How AI Workflows Cut Investigation Time from Hours to Minutes

Learn how financial institutions are using Amazon Quick Flows and Snowflake Cortex AI to automate anti-money laundering alert triage, reducing investigation time from 30-90 minutes to under 5 minutes.

LLM Development

admin May 28, 2026 2 min read

Frontier AI Models Struggle with Real-World IT Tasks: New ITBench-AA Reveals Major Performance Gaps

A groundbreaking new benchmark from Artificial Analysis and IBM shows that even the most advanced AI models score below 50% on enterprise IT tasks, highlighting significant challenges ahead for AI automation.

LLM Development

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LLM Development

Direct Preference Optimization: Expanding AI Training Beyond Chatbots

Mastering Hyperparameter Optimization: Building Custom AI Models with Amazon Nova Forge

Holo3.1: The Next Generation of Fast & Local Computer Use Agents

Scaling Enterprise AI with Amazon Bedrock AgentCore Gateway: New MCP Features for Production Deployments

JetBrains Launches Mellum2: A Promising 12B Mixture-of-Experts Model for Developers

Building Production-Ready LLM Observability: Beyond Basic Metrics to Quality Monitoring

Building Low-Resource Language Models: How Azercell Created an Azerbaijani LLM with 58% Memory Savings

Understanding PyTorch Profiling: Essential Tools for AI Model Optimization

Revolutionizing AML Alert Triage: How AI Workflows Cut Investigation Time from Hours to Minutes

Frontier AI Models Struggle with Real-World IT Tasks: New ITBench-AA Reveals Major Performance Gaps

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