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Chinese electronics and car manufacturer Xiaomi surprised the global AI community today with the release of MiMo-V2-Pro, a new 1-trillion...
There’s a risk to the multi-function LTM approach, of course: A failure in a widely-deployed model could have system-wide consequences,...
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The transition from a raw dataset to a fine-tuned Large Language Model (LLM) traditionally involves significant infrastructure overhead, including CUDA...
For the first time on a major AI platform release, security shipped at launch — not bolted on 18 months...
The US Treasury has published several documents designed for the US financial services sector that suggest a structured approach to...
Recent reports about AI project failure rates have raised uncomfortable questions for organizations investing heavily in AI. Much of the...
Most LLM agents work well for short tool-calling loops but start to break down when the task becomes multi-step, stateful,...
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The software engineering world is currently wrestling with a fundamental paradox of the AI era: as models become more capable,...
E.SUN Bank is working with IBM to build clearer AI governance rules for how artificial intelligence can be used inside...
In recent times, many developments in the agent ecosystem have focused on enabling AI agents to interact with external tools...
NanoClaw, the open-source AI agent platform created by Gavriel Cohen, is partnering with the containerized development platform Docker to let...
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Managing the economics of multi-agent AI now dictates the financial viability of modern business automation workflows.Organisations progressing past standard chat...
@dataclass class AgentConfig: horizon: int = 6 replan_on_target_move: bool = True replan_on_obstacle_change: bool = True max_steps: int = 120 think_latency:...
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Multi-agent systems, designed to handle long-horizon tasks like software engineering or cybersecurity triaging, can generate up to 15 times the...