Product updates, engineering deep-dives, and practical guides from the Gamut team.
What AI agent orchestration is, the five core coordination patterns with worked examples, the leading frameworks, and how to choose the right one.
A curated rundown of the best MCP servers across dev tools, data, productivity, payments, and automation — with selection criteria, security guidance, and setup steps.
A webhook pushes event data to you the moment something happens; an API is the request-response contract you call to pull data. Here's the difference and when to use each.
A practical guide to the Stripe MCP server: what it is, remote vs local setup, the full tool surface, client config for Cursor and Claude Code, and how to run it safely in production agents.
Learn essential best practices for Apple's Foundation Models Framework, including state management, structured outputs with Guided Generation, custom adapters, SwiftData persistence, and
Are newer large language models (LLMs) hallucinating more? This article explores why advanced LLMs produce confident but incorrect outputs, delves into the causes, and provides actionable
Explore the intricacies of Low-Rank Adaptation (LoRA) in fine-tuning large language models with our in-depth look at rank and alpha parameters. Discover how LoRA enhances model efficiency
Discover how GRPO fine-tuning and LLM-Judge (LLM-J) helped Qwen-0.5B and Llama3.2 1B surpass OpenAI’s O1-preview in Q&A—optimized in just 50 minutes on Colab A100!
Discover the power of Low-Rank Adaptation (LoRA) in fine-tuning large language models efficiently and cost-effectively. This article explores how LoRA adapters contrast with traditional methods
Discover why 3B-8B parameter models are the ideal choice for businesses and researchers in 2025. Offering a perfect balance between power, cost-effectiveness, and versatility, these models excel