MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — ...
Enterprise AI teams are moving beyond single-turn assistants and into systems expected to remember preferences, preserve ...
In effect, Anthropic is positioning Claude Marketplace as a more centralized way for enterprises to procure certain ...
For agents, the value is clearer still: structured JSON output, reusable commands and built-in skills that let models ...
An open-source collaboration brings voice and vision AI directly onto consumer hardware, keeping sensitive data off the cloud ...
The big headlines on this release are efficiency, with OpenAI reporting that GPT-5.4 uses far fewer tokens (47% fewer on some ...
Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that ...
The AI race is no longer a battle of model architecture alone. As GPU demand explodes, the primary bottleneck has shifted ...
B, an open-weight multimodal vision AI model designed to deliver strong math, science, document and UI reasoning with far ...
2d
Black Forest Labs' new Self-Flow technique makes training multimodal AI models 2.8x more efficient
This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...
The industry spent years operating on a simple premise: secure the code, and the assets stay safe. That logic no longer holds ...
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