A call to reform AI model-training paradigms from post hoc alignment to intrinsic, identity-based development.
TechCrunch was proud to host TELUS Digital at Disrupt 2024 in San Francisco. Here’s an overview of their Roundtable session. Large language models (LLMs) have revolutionized AI, but their success ...
In the course of human endeavors, it has become clear that humans have the capacity to accelerate learning by taking foundational concepts initially proposed by some of humanity’s greatest minds and ...
MIT researchers achieved 61.9% on ARC tasks by updating model parameters during inference. Is this key to AGI? We might reach the 85% AGI doorstep by scaling and integrating it with COT (Chain of ...
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
Super Venture Capitalists Bill Gurley and Brad Gerstner analyze the future of AI. The rate of improvement of large language models is slowing for pre-training. However, it is still improving and AI ...
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Training a large language model (LLM) is ...
On the surface, it seems obvious that training an LLM with “high quality” data will lead to better performance than feeding it any old “low quality” junk you can find. Now, a group of researchers is ...
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