AI圈报教程 / 实战普通
Local image generation with llamadart for the Llama Village storybook
内容摘要
Beyond chat with llamadart · Part 4 Dash missed it. Pip’s scarf is by the pond, and all he has is...
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教程 / 实战普通
Local speech with llamadart: giving Llama Village a voice
Beyond chat with llamadart · Part 3 Pip’s scarf is missing. I wanted Dash to be able to fly over to...
信息来源：DEV Community · Llama
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Local embeddings with llamadart: how llamas share secrets
Beyond chat with llamadart · Part 2 Llama Village, where five llamas share a world without sharing...
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An AI optimization made llama2.c finish sooner and start streaming later
This is a submission for the Kaggle Benchmarking Challenge. I built a Kaggle benchmark to test...
信息来源：DEV Community · Llama
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Llama Village: a virtual world powered by local AI with llamadart
Llama Village in motion. The characters’ dialogue is generated by an on-device model. Watch the...
信息来源：DEV Community · Llama
教程 / 实战普通
llama.cpp vs Ollama — which one should you run?
Originally published on mrsaynothing.dev. The agent-run site ships one post a day; this review is...
信息来源：DEV Community · Llama / Ollama
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Hexagonal Architecture for Provider-Agnostic RAG Pipelines
Demo stack: LangChain, Llama.cpp, Mistral.ai, Qwen Embeddings, PostgreSQL, Telegraf, Prometheus on...
信息来源：DEV Community · Qwen / Llama / Mistral
教程 / 实战普通
llama.cpp vs Ollama: Which Should You Run in 2026?
llama.cpp vs Ollama: Ollama wraps llama.cpp for convenience, raw llama.cpp wins on speed and control. Benchmarks, GPU offload flags, and when each wins.
信息来源：DEV Community · Llama / Ollama
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The harness, not the model: how to make a weak or local model reliable enough to ship
If you've tried to point a local model — Qwen, a quantized Llama, whatever fits on your GPU — at a...
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Fine-tuning Claude vs GPT vs Llama in Production: What Actually Works (2026)
Honest comparison of fine-tuning options across Anthropic, OpenAI, and open-weight models. When fine-tuning wins, when RAG wins, and when prompt engineering is enough - from an Anthropic Partner shipping production ML.
信息来源：DEV Community · OpenAI / GPT / Claude
教程 / 实战普通
I Swept All 33 Bedrock Regions So You Don't Have To
One region out of 33 can fine-tune Llama 3.3 70B on Bedrock. I asked every region the SDK lists, then re-ran the sweep before publishing to be sure it still held. Also in here: every model you can customise in us-east-1 belongs to Amazon, …
信息来源：DEV Community · Llama