Researchers at the Allen Institute for AI (AI2) have introduced SERA, Soft Verified Efficient Repository Agents, as a coding agent family that aims to match very large closed systems using …
Tag:
training
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Generative AI
A coding implementation for training, optimizing, evaluating, and annotating knowledge graph embeddings with PyKEEN
In this tutorial, we walk through using an end-to-end, advanced workflow for knowledge graph embeddings PykenActively exploring how modern embedding models are trained, evaluated, optimized, and interpreted in practice. We …
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Machine Learning
Training costs are going down – inference costs are rising: 6 types of inference that will save your AI budget
Author(s): Tanveer Mustafa Originally published on Towards AI. Training costs are going down – inference costs are rising: 6 types of inference that will save your AI budget We’re seeing …
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It’s been a long time since I came across the AI toolkit by Ostris and a lot of new models have been released. So I decided to jump back into …
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Increasing activity in a deep region of the brain could boost the immune system’s response to vaccines — and people could be trained to do it themselves using brain scans …
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Some things where I can see concrete evidence of our work, for example, in Sleep Core and Sleep Systems – trying to define a more comfortable way for astronauts to …
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AI Tools
Meet SETA: open source training reinforcement learning environment for terminal agents with 400 tasks and CAMEL toolkit
What does the end-to-end stack look like for terminal agents when you combine structured toolkits, synthetic RL environments, and benchmark aligned evaluations? A team of researchers from CAMEL AI, Eigent …
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Flavio Coelho/Moment via Getty Follow ZDNET: Add us as a favorite source On Google. ZDNET Highlights DeepSeek introduces manifold-constrained hyper-connections, or mHC They provide a way to enhance LLM without …
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