Month: June 2025

Table of Links Abstract and I. Introduction II. Approach A. Architectural Design B. Proof of Concept Implementation III. Envisioned Usage Scenarios IV. Experiment Design and Demographics A. Participants B. Target System and Task C. Procedure V. Results and Discussion VI. Related Work VII. Conclusions and Future Work, Acknowledgment, and References III. ENVISIONED USAGE SCENARIOS Besides … Read more

:::info Authors: (1) Alexander Krause-Glau, Software Engineering Group, Kiel University, Kiel, Germany (akr@informatik.uni-kiel.de); (2) Wilhelm Hasselbring, Software Engineering Group, Kiel University, Kiel, Germany (wha@informatik.uni-kiel.de). ::: Table of Links Abstract and I. Introduction II. Approach A. Architectural Design B. Proof of Concept Implementation III. Envisioned Usage Scenarios IV. Experiment Design and Demographics A. Participants B. Target … Read more

Table of Links Abstract and 1 Introduction 2 Terminology 3 Exploring the design space of vision-language models and 3.1 Are all pre-trained backbones equivalent for VLMs? 3.2 How does the fully autoregressive architecture compare to the cross-attention architecture? 3.3 Where are the efficiency gains? 3.4 How can one trade compute for performance? 4 Idefics2 – … Read more

Table of Links Abstract and 1 Introduction 2 Terminology 3 Exploring the design space of vision-language models and 3.1 Are all pre-trained backbones equivalent for VLMs? 3.2 How does the fully autoregressive architecture compare to the cross-attention architecture? 3.3 Where are the efficiency gains? 3.4 How can one trade compute for performance? 4 Idefics2 – … Read more

Table of Links Abstract and 1 Introduction 2 Terminology 3 Exploring the design space of vision-language models and 3.1 Are all pre-trained backbones equivalent for VLMs? 3.2 How does the fully autoregressive architecture compare to the cross-attention architecture? 3.3 Where are the efficiency gains? 3.4 How can one trade compute for performance? 4 Idefics2 – … Read more

Table of Links Abstract and 1 Introduction 2 Terminology 3 Exploring the design space of vision-language models and 3.1 Are all pre-trained backbones equivalent for VLMs? 3.2 How does the fully autoregressive architecture compare to the cross-attention architecture? 3.3 Where are the efficiency gains? 3.4 How can one trade compute for performance? 4 Idefics2 – … Read more

:::info Authors: (1) Hugo Laurençon, Hugging Face and Sorbonne Université, (the order was chosen randomly); (2) Léo Tronchon, Hugging Face (the order was chosen randomly); (3) Matthieu Cord, Sorbonne Université; (4) Victor Sanh, Hugging Face. ::: Table of Links Abstract and 1 Introduction 2 Terminology 3 Exploring the design space of vision-language models and 3.1 … Read more

How are you, hacker? 🪐Want to know what’s trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## We’re At a Fork in the Road for AI Development By @OurAI [ 11 Min read ] As the long rivalry … Read more

I went out this weekend to see a show. I had some time to chat with the security guard at a venue. He was a Gen Z man who explained after some conversation that he was interested in improving himself. He did not think that formal education after high school would be useful. In fact, … Read more