LlamaIndex 教程：如何微调 Llama 2 用于 Text-to-SQL 应用

LlamaIndex 发布教程，讲解如何用 Ollama 在本地运行 Mixtral 8x7b 并结合 LlamaIndex 使用。Mixtral 是 Mistral AI 发布的八专家混合模型，各含 7B 参数，博客称其在多项基准上匹敌或超过 GPT-3.5 和 Llama2 70b。

Agentic 时代 AI 不再只是聊天机器人，而是能自主执行任务的智能体。面对 Claude、GPT、LLaMA 等模型，需根据代理能力、任务类型和生态集成重新评估选择策略。

Hugging Face 发布 StackLLaMA 教程，手把手讲解如何用 RLHF 方法训练 LLaMA 模型，覆盖完整训练流程。

Demo stack: LangChain, Llama.cpp, Mistral.ai, Qwen Embeddings, PostgreSQL, Telegraf, Prometheus on...

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.

If you've tried to point a local model — Qwen, a quantized Llama, whatever fits on your GPU — at a...

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.

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, …

How to build a production-grade drafting agent on local SLMs (Llama 3.2 3B) using deterministic Python verification, tri-state guardrails, QWK-calibrated evals, and continuous few-shot learning.

Flash on 27 August, the flagship on 28 August. Real quant sizes, why the bigger model has better tooling support than the smaller one, and the default that silently makes it feel slow.