Stop throwing money at GPUs for unoptimized models; using smart shortcuts like fine-tuning and quantization can slash your ...
In a novel attempt to improve how large language models learn and make them more capable and energy-efficient, Stevens ...
A new method developed by MIT researchers can accelerate a privacy-preserving artificial intelligence training method by ...
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Mastering GPU orchestration for massive AI training
Training today’s largest AI models demands more than just powerful GPUs — it requires smart orchestration, efficient communication, and optimized resource use across massive clusters. From Google ...
In building LLM applications, enterprises often have to create very long system prompts to adjust the model’s behavior for their applications. These prompts contain company knowledge, preferences, and ...
A new study from researchers at Stanford University and Nvidia proposes a way for AI models to keep learning after deployment — without increasing inference costs. For enterprise agents that have to ...
Career experts say workers and job seekers should take charge of their own AI education. Here's how to get started.
Using artificial-intelligence to teach other models can be cheaper and faster than building them from scratch, but this approach can introduce dangerous traits. Data generated by ...
Utkarsh Amitabh says he definitely wasn't in the market for a new job in January 2025, when data labeling startup micro1 approached him about joining its network of human experts who help companies ...
New research shows how fragile AI safety training is. Language and image models can be easily unaligned by prompts. Models need to be safety tested post-deployment. Model alignment refers to whether ...
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