VLM

Software / App

Mentioned as an inferencing provider that can be integrated with Llama Stack through a configuration file.

Mentioned in 8 videos

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Videos Mentioning VLM

Best of 2024: Synthetic Data / Smol Models, Loubna Ben Allal, HuggingFace [LS Live! @ NeurIPS 2024]

Best of 2024: Synthetic Data / Smol Models, Loubna Ben Allal, HuggingFace [LS Live! @ NeurIPS 2024]

Latent Space

Small VLM is a 2B parameter vision model known for its efficiency and good performance.

The Shape of Compute (Chris Lattner of Modular)

The Shape of Compute (Chris Lattner of Modular)

Latent Space

An open-source inference framework from Berkeley, compared with Modular's approach, noted for its broad but sometimes unreliable hardware support.

AI Dev 25 | Amit Sangani: Unlock the Power of Open Source with Llama

AI Dev 25 | Amit Sangani: Unlock the Power of Open Source with Llama

DeepLearningAI

Mentioned as an inferencing provider that can be integrated with Llama Stack through a configuration file.

Stanford CS153 Frontier Systems | Amit Jain from Luma AI on Unified Intelligence Systems

Stanford CS153 Frontier Systems | Amit Jain from Luma AI on Unified Intelligence Systems

Stanford Online

Vision Language Models that can understand images but cannot generate them, representing a gap Luma aims to bridge.

Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 10: Inference

Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 10: Inference

Stanford Online

Mentioned for introducing the Page Attention technique to manage KV cache storage and reduce fragmentation.

Stanford Robotics Seminar ENGR319 | Spring 2026 | Interactive Autonomy

Stanford Robotics Seminar ENGR319 | Spring 2026 | Interactive Autonomy

Stanford Online

Visual Language Models used in coaching robots, found effective when analyzing training curves or sequences of images.

The 100,000 Sandbox Problem — Akshat Bubna, Modal CTO

The 100,000 Sandbox Problem — Akshat Bubna, Modal CTO

Latent Space

Mentioned as an off-the-shelf inference engine for comparison with Modal's capabilities.

The AI Memory Problem: Why Long Context Isn’t Enough — Dan Biderman, Engram Co-founder & CEO

The AI Memory Problem: Why Long Context Isn’t Enough — Dan Biderman, Engram Co-founder & CEO

Latent Space

Mentioned as a project where Cade Daniel was a core contributor, relating to inference leads.