In this tutorial, we demonstrate a realistic data poisoning attack by manipulating labels in the CIFAR-10 dataset and observing its impact on model behavior. We simultaneously build a clean and …
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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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A coding implementation to create an integrated Apache Beam pipeline performing batch and stream processing with event-time windowing using DirectorRunner
In this tutorial, we demonstrate how to create an integrated apache beam Pipelines that work seamlessly in both batch and stream-like modes using DirectRunner. We generate synthetic, event-time-aware data and …
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Image by editor , Introduction Coding has traditionally been a key pillar of the work of most software engineers and developers, whether it’s implementing algorithms, creating business logic, or maintaining …
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TII Abu-Dhabi Releases Falcon H1R-7B: A New Reasoning Model Outperforms Others in Math and Coding with Only 7B Params with 256k Context Window
Technology Innovation Institute (TII), Abu Dhabi, has released the Falcon-H1R-7B, a 7B parameter reasoning specialized model that matches or exceeds many 14B to 47B reasoning models in math, code and …
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Author(s): Shashwat Bhattacharya Originally published on Towards AI. The discussion around artificial intelligence has long focused on computational capacity – model parameters, benchmark scores, reasoning depth. Yet the most profound …
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Liquid AI has introduced LFM2.5, a new generation of small foundation models built on the LFM2 architecture and focused on device and edge deployments. The model family includes LFM2.5-1.2b-Base and …
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