A smart combination of quantization and sparsity allows BitNet LLMs to become even faster and more compute/memory efficient ...

Ilya Sutskever now says that LLM scaling has plateaued and it's time for discovery again. AI labs are now working on ...

Large-scale, unstructured data preparation and handling functionality accelerates generative and predictive AI development and deployment BOSTON–(BUSINESS WIRE)–DataRobot, the provider of AI that ...

For years now, many AI industry watchers have looked at the quickly growing capabilities of new AI models and mused about exponential performance increases continuing well into the future. Recently, ...

This includes everything from real world reliability to the amount of energy and resources required to construct an LLM. That ...

Initially, datasets were openly shared, allowing the public to examine the content used for training. However, LLM companies tightly guard their data sources today, leading to new intellectual ...

ECE Assoc. Prof. Zheng Zhang among four potentially high-impact projects seeking to solve critical energy-efficiency challenges have been awarded more than $240,000 in cumulative funding related to ...

In this Disrupt Roundtable session, Siddharth Mall, Ian McDiarmid, and Kaushik PS from TELUS Digital dove deep into the ...

Now, let’s look at OLMo 1B SFT DPO’s performance. AMD ran several benchmarks and compared the results with other open-source ...

With over 1 billion parameters trained using trillions of tokens on a cluster of AMD’s Instinct GPUs, OLMo aims to challenge ...

AMD develops its own 1B-parameters OLMo large language model for a wide variety of applications that was trained on Instinct MI250 GPUs.

Presented in a recent paper, Spirit LM enables the creation of pipelines that mixes spoken and written text to integrate ...