Accelerating vision-language models with LFM2.5-VL-DSpark
Accelerating vision-language models with LFM2.5-VL-DSpark.
AI Summary & Key Takeaways
- Accelerating vision-language models with LFM2.5-VL-DSpark.
Accelerating vision-language models with LFM2.5-VL-DSpark
Related stories
Now DeepSeek-V4.1-Flash with 763 billion parameters can be run locally even on a video card with 12 GB of video memory.
Now DeepSeek-V4.1-Flash with 763 billion parameters can be run locally even on a video card with 12 GB of video memory. Researchers from the Austrian institute IST Austria presented a quantized version of the model using the GSQ-RCO method, and the developers of the Strata inference engine...
Blue Planet III is keeping the rough edges in the age of AI
BBC's Blue Planet III is looking to prove its authenticity by leaving in the less-than-perfect shots. Previous incarnations of the nature series were defined by their gorgeous, crystal-clear footage that seemed almost too good to be real. But one dead giveaway of AI is when…
Synthetic Double: Why Footballer Christian Volpato Became the Latest to License His AI Clone
Australian national team footballer Christian Volpato licensed his AI likeness to company Callandor, which will monetize his digital image and voice. This reflects a growing trend among athletes to control their AI representations amid evolving…
Pennsylvania will require labels on AI-generated ads
On Thursday, Pennsylvania Governor Josh Shapiro signed the Artificial Intelligence Deceptive Advertising Act into law, requiring disclosures on AI-generated ads. The law requires any ad - whether it's a still image, video, audio, or text - that "has been significantly modified…