<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Instruction-Tuned on Best of AI</title><link>https://bestofai.io/tags/instruction-tuned/</link><description>Recent content in Instruction-Tuned on Best of AI</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Thu, 16 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://bestofai.io/tags/instruction-tuned/index.xml" rel="self" type="application/rss+xml"/><item><title>DBRX Instruct</title><link>https://bestofai.io/models/dbrx-instruct/</link><pubDate>Thu, 16 Jul 2026 00:00:00 +0000</pubDate><guid>https://bestofai.io/models/dbrx-instruct/</guid><description>&lt;p&gt;DBRX Instruct is the fine-tuned, chat-ready version of Databricks&amp;rsquo; DBRX model, released in March 2024 alongside the DBRX base model. It uses a fine-grained mixture-of-experts architecture with 132 billion total parameters, of which only 36 billion are active for any given token, and it was trained on 12 trillion tokens of text and code. Databricks tuned it specifically for instruction following and multi-turn conversation, and at launch the company reported it beating GPT-3.5 on MMLU (73.7% versus 70.0%) and on HumanEval (70.1% versus 48.1%). It supports a 32,000-token context window and is distributed under the Databricks Open Model License, which permits commercial use with some restrictions for very large deployments. Organizations run it through Databricks&amp;rsquo; own platform or self-host the weights from Hugging Face.&lt;/p&gt;</description></item><item><title>Flan-T5</title><link>https://bestofai.io/models/flan-t5/</link><pubDate>Thu, 16 Jul 2026 00:00:00 +0000</pubDate><guid>https://bestofai.io/models/flan-t5/</guid><description/></item><item><title>WizardLM-2</title><link>https://bestofai.io/models/wizardlm-2/</link><pubDate>Thu, 16 Jul 2026 00:00:00 +0000</pubDate><guid>https://bestofai.io/models/wizardlm-2/</guid><description/></item></channel></rss>