Automating Generative AI Development
SPONSORED FEATURE: Artificial Intelligence (AI) has dominated the business and technology headlines lately, especially with the emergence of generative AI technologies like ChatGPT. …
SPONSORED FEATURE: Artificial Intelligence (AI) has dominated the business and technology headlines lately, especially with the emergence of generative AI technologies like ChatGPT. …
Transitions in the datacenter take time.
It took Unix servers a decade, from 1985 through 1995, to supplant proprietary minicomputers and a lot of mainframe capacity that would have otherwise been bought. …
Heaven forbid that we take a few days of downtime. When we were not looking – and forcing ourselves to not look at any IT news because we have other things going on – that is the moment when Nvidia decides to put out a financial presentation that embeds a new product roadmap within it. …
SPONSORED FEATURE: A sharp new tool being used more and more by creative enterprise IT teams, generative AI, has the potential to enable major advances in the way an enterprise conducts its business. …
It takes big money as well as big ideas to compete in the generative AI space. …
Although our appetite for a vast range of AI accelerators appears to be waning, or at least condensing down to a few options, there might be methods on the horizon to let accelerator designers explore new concepts in an interesting way. …
When it comes to natural disasters, every second counts—and the clock may just be ticking a little slower following a collaboration between Terra Quantum and Honda Research Institute Europe (HRI-EU). …
Scientists from KAUST and engineers from Cerebras Systems have fine-tuned an existing algorithm, Tile Low-Rank Matrix-Vector Multiplications (TLR-MVM), to improve the speed and accuracy of seismic data processing. …
If you have the entire corpus of the Internet scrubbed of nonsense plus whatever else you can scrounge up in whatever language all put into the right format so you can chew on that data one token at a time with trillions of parameters of interconnections between those tokens to build a large language model for generative AI applications, you have an enormous problem. …
The history of computing teaches us that software always and necessarily lags hardware, and unfortunately that lag can stretch for many years when it comes to wringing the best performance out of iron by tweaking algorithms. …
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