
Llama 4: The Complete Developer's Guide to Meta's Open Source Models
Llama 4 developer guide to Scout and Maverick, the open mixture-of-experts models from Meta: run them locally, call them via APIs and know when to pick them.
117 articles - page 10 of 10

Llama 4 developer guide to Scout and Maverick, the open mixture-of-experts models from Meta: run them locally, call them via APIs and know when to pick them.

Aider is open source and works with any model. Claude Code is Anthropic's commercial agent. Here is how they compare for TypeScript.

Prompt injection in CONTRIBUTING.md and AGENTS.md: AI coding agents read repo docs before opening PRs, so those files are now part of the security boundary.

NVIDIA Nemotron 3 Super combines latent mixture of experts with hybrid Mamba layers - 120B total parameters, 12B active per token, 1M context and open weights.

NVIDIA Nemotron Nano 9B V2 is a hybrid Mamba-transformer small model that runs on consumer GPUs. See how its reasoning controls, open data and tool use work.

GPT-OSS is OpenAI's pair of open-weight 20B and 120B reasoning models under Apache 2.0. Hardware needs, benchmarks, hosting costs and how to run them locally.

Qwen 3 is Alibaba's family of eight Apache 2 licensed models, led by a 235B MoE flagship. How it compares to Llama 4, how hybrid thinking works, how to run it.

Unstract is an open-source, no-code platform that uses LLMs to extract structured JSON from PDFs, invoices and scans. How Prompt Studio and self-hosting work.
Showing 109-116 of 116 articles

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