14d
Fine-tuning forgets. RAG leaks context. Hypernetworks build the model your agent needs on demand.
Why AI agents stall in production: fine-tuning forgets, RAG leaks context. Hypernetworks generate a task-specific model from your policies at inference time.
Pioneer turns language model development and fine-tuning from a months-long, expert-driven workflow into a single prompt and introduces adaptive inference, a new category in model serving where ...
9d
Alibaba's model never trained as an agent — and improved agent performance across seven benchmarks
Real environments can't inject edge cases on demand. Alibaba's Qwen-AgentWorld simulates them — and outperformed ...
Enterprise AI infrastructure company TrueFoundry has announced its acquisition of Seldon AI, bringing together two Kubernetes ...
Not a subscriber? Sign up here to get this newsletter in your inbox. This is Benjamin Guggenheim. Welcome to WP Intelligence’s AI & Tech Brief, where we examine the transformative technology of ...
Judging by a slew of recent corporate announcements, your next “co-worker” might be an artificial intelligence agent – doing the work of an assistant, job scheduler, morning debriefer, learning coach ...
The regulatory intelligence platform’s Abstract Workers are custom built to automate tasks like producing daily reports on agencies, sending notifications related to trending social media posts and ...
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