trajectory
PulseAugur coverage of trajectory — every cluster mentioning trajectory across labs, papers, and developer communities, ranked by signal.
- 2026-05-31 product_launch Trajectory released a concurrent multi-LoRA training stack for continual learning, reporting a significant throughput gain. source
1 day(s) with sentiment data
-
NVIDIA launches Nemotron 3.5 Lightning for efficient agentic AI
NVIDIA has launched Nemotron 3.5 Lightning, a 30-billion-parameter mixture-of-experts model designed for efficient agentic AI workloads. This model offers up to 4x faster output speed and 30% faster task completion comp…
-
STEP system uses LLMs to predict career paths from resumes
Researchers have developed STEP (Sequential Trajectory of Employment Prediction), a novel system designed to recommend career paths by analyzing resumes. STEP utilizes a time-decay Gated Recurrent Unit (GRU) cell to mod…
-
Trajectory enables faster AI model updates with concurrent multi-LoRA stack
Trajectory has developed a new concurrent multi-LoRA training stack designed for continual learning, aiming to replace the traditional lengthy model update cycle. This platform allows models to learn from live feedback …
-
Ex-Google, Apple AI researchers launch startup for continuous learning
Trajectory, a new startup founded by former researchers from Google DeepMind, Apple, and OpenAI, has launched with $15 million in seed funding. The company aims to develop a platform that enables AI models to learn cont…
-
NVIDIA, Anthropic, Google, and Ideogram release new models and research
NVIDIA has released Nemotron 3 Ultra, an open-weight 550B MoE model with a 1M context window, optimized for long-running agent workloads and boasting significant speed and cost improvements. Anthropic's research suggest…