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LLM

5 posts tagged LLM — buyer's guides, comparisons, and how-tos for developers.

Ollama vs LM Studio vs vLLM 2026: How to Run LLMs Locally and Self-Hosted
·13 min read

Ollama vs LM Studio vs vLLM 2026: How to Run LLMs Locally and Self-Hosted

A practical 2026 comparison of the three leading ways to run large language models yourself — Ollama (the open-source CLI and local REST server that makes pulling and running models a one-liner), LM Studio (the polished desktop GUI for discovering, downloading and chatting with models, with a built-in OpenAI-compatible server), and vLLM (the production-grade, GPU-first inference engine with PagedAttention and high-throughput batching). Ease of use, hardware needs, throughput, the OpenAI-compatible API, privacy, and which one to use for local development versus serving an AI product at scale.

LangGraph vs CrewAI vs OpenAI Agents SDK 2026: Which AI Agent Framework?
·12 min read

LangGraph vs CrewAI vs OpenAI Agents SDK 2026: Which AI Agent Framework?

A practical 2026 comparison of the three main ways to build AI agents in Python — LangGraph (the low-level, stateful graph runtime for maximum control and durable execution), CrewAI (the high-level, role-based framework where you assemble a crew of agents with roles and tasks), and the OpenAI Agents SDK (a minimal, unopinionated set of primitives — agents, handoffs, guardrails, and sessions). Control vs convenience, state and durability, multi-agent orchestration, model lock-in, observability, learning curve, and which to ship in the AI templates and starters you sell.