Deep Learning with Yacine on MSN
Group Relative Policy Optimization (GRPO) Explained – Formula and PyTorch Implementation
Discover how Group Relative Policy Optimization (GRPO) works with a clear breakdown of the core formula and working Python ...
Ant Group, an affiliate of Alibaba, released Ring-1T which it says is the first trillion parameter open-source model.
Thinking Machines Lab challenges OpenAI’s scaling-first approach to artificial intelligence, arguing that true ...
To address that, Cursor introduced Composer alongside its new multi-agent interface, which allows you to “run many agents in ...
Cognizant (Nasdaq: CTSH) today announced a breakthrough from its AI Lab that introduces a novel, efficiency-focused method ...
Atlassian's Kun Chen discusses how speed takes a back seat to accuracy and reliability — the new drivers of innovation and ...
Learn how Anthropic’s tools and strategies make building adaptive AI agents easier, smarter, and more accessible than ever ...
When responding to a prompt, an AI model may conceal information from the user entering the prompt. This practice, known as ...
Adversarial prompting refers to the practice of giving a large language model (LLM) contradictory or confusing instructions ...
SchedCP comprises two primary subsystems: a control-plane framework and an agent loop that interacts with it. The framework ...
Sonar has announced SonarSweep, a new data optimisation service that will improve the training of LLMs optimised for coding ...
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