·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
New York governor says she’s using AI to analyze ‘every single rule’ in the state11m◆The AI compute gap: Enterprises are buying infrastructure faster than they can measure what it costs34m◆The AI context gap: Enterprise AI organizations have a trust problem, not a retrieval problem — and most are still building the fix1h◆The agent evaluation gap: Enterprise AI organizations have a reality-alignment problem, not a coverage problem — and most are shipping to production anyway1h◆NVIDIA Nemotron 3 Embed Ranks #1 Overall on RTEB, Advancing Agentic Retrieval2h◆Google’s AI Mode now lets you link and interact with select apps2h◆Google is renaming NotebookLM to Gemini Notebook2h◆Why teens deserve access to safe AI2h◆Connect more of your apps to Search2h◆Create, edit and star in videos with two Google Vids updates2h◆Yes, you can now order DoorDash from the command line2h◆Why is OpenAI selling a ChatGPT basketball?2h◆How a former DeepMind researcher raised at a $300M pre-seed valuation before launching a product3h◆Why AMI Labs’ Alexandre LeBrun won’t call his AI ‘AGI’ or ‘superintelligence’3h◆Moonshot’s upcoming Kimi 3 is expected to close the gap with Anthropic’s Opus 4.83h◆Apple Intelligence approved for launch in China with Alibaba and Baidu4h◆Claude can now use your 1Password credentials for you5h◆Google ordered to open Android and Search to rivals in Europe6h◆Newer Models, Same Advantage6h◆Computer cops7h◆New York governor says she’s using AI to analyze ‘every single rule’ in the state11m◆The AI compute gap: Enterprises are buying infrastructure faster than they can measure what it costs34m◆The AI context gap: Enterprise AI organizations have a trust problem, not a retrieval problem — and most are still building the fix1h◆The agent evaluation gap: Enterprise AI organizations have a reality-alignment problem, not a coverage problem — and most are shipping to production anyway1h◆NVIDIA Nemotron 3 Embed Ranks #1 Overall on RTEB, Advancing Agentic Retrieval2h◆Google’s AI Mode now lets you link and interact with select apps2h◆Google is renaming NotebookLM to Gemini Notebook2h◆Why teens deserve access to safe AI2h◆Connect more of your apps to Search2h◆Create, edit and star in videos with two Google Vids updates2h◆Yes, you can now order DoorDash from the command line2h◆Why is OpenAI selling a ChatGPT basketball?2h◆How a former DeepMind researcher raised at a $300M pre-seed valuation before launching a product3h◆Why AMI Labs’ Alexandre LeBrun won’t call his AI ‘AGI’ or ‘superintelligence’3h◆Moonshot’s upcoming Kimi 3 is expected to close the gap with Anthropic’s Opus 4.83h◆Apple Intelligence approved for launch in China with Alibaba and Baidu4h◆Claude can now use your 1Password credentials for you5h◆Google ordered to open Android and Search to rivals in Europe6h◆Newer Models, Same Advantage6h◆Computer cops7h◆
News/Back to the Barn with LLAMAs: Evolving Pretrained LLM Backbones in Finetuning Vision Language Models
arxiv
PublishedApril 14, 2026 at 4:00 AM

Back to the Barn with LLAMAs: Evolving Pretrained LLM Backbones in Finetuning Vision Language Models

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2604.10985v1 Announce Type: new Abstract: Vision-Language Models (VLMs) have rapidly advanced by leveraging powerful pre-trained Large Language Models (LLMs) as core reasoning backbones. As new and more capable LLMs emerge with improved reasoning, instruction-following, and generalization, the

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews