
v0.7.0
LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
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LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
As AI agents move from answering questions to making decisions and acting, businesses face a growing challenge of keeping accountability in step with the pace of change.
The social media giant tries to capitalize on, monetize its successful personal agent and maybe crack the business market. Chinese models go astray, like their U.S. counterparts.
A new case of an out-of-control AI model shows that enterprises should treat models and agents as toddlers that need supervision and explicit instructions.
The company’s new releases point to an AI market becoming more personal, with agents and models completing tasks, but enterprises still aren’t ready for this new phase of AI.
Rising production volumes are increasing pressure on suppliers, while U.S.-China tensions could make it harder for Western manufacturers to secure alternatives to Chinese suppliers.
As agents take on more work for users, companies are deciding whether to let outside AI systems act on their platforms.
The agent can use enterprise business context for knowledge work. However, questions about cost and integration with other tools could be difficult for enterprises.
New Western open-weight models could give enterprises an alternative to Chinese and proprietary AI, but greater control also brings new responsibilities.
Under the program, the vendor provides enterprises with models that can defend against bad actors.
Nvidia-backed open source startup makes splashy entrance. AI hits U.S. K-8 education.
Process Intelligence helps organizations provide AI agents with the right context and data needed to know how their businesses run.
As AI moves into K-8 instruction, district technology leaders must weigh external evidence, data protection and results-based contracts before scaling these systems.
AI adoption in the public sector is on the rise, but data, legacy systems and governance remain barriers to effectively scaling the tech.
The U.S. startup holds an advantage in the open-weight market due to its funding and technology relationship with Nvidia.
Where humanoid publicity outpaces reality, why purpose-built machines deserve more attention and how the West can get automation onto the factory floor.
Physical AI is moving beyond traditional robotics into real enterprise tasks, but enterprises still face big challenges integrating and scaling robotic systems.
AI is doing more junior-level work, forcing organizations to rethink how employees gain the experience and judgment they need to move into senior roles.
The AI chipmaker’s new safety platform adds controls around AI agents, while enterprises remain responsible for defining their authority and setting boundaries.
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