In its annual Build Conference, Microsoft announced its first GPT-3-powered application, a code generator for the Power Fx data query language.According to the Microsoft Blog, “For instance, the new AI-powered features will allow an employee building an e-commerce app to describe a programming goal using conversational language like... A fine-tuned GPT-3 model then offers choices for...
There's been a lot of progress on neuromorphic computing and some companies are providing solid solutions (e.g., Intel Loihi). In theory NM should improve speed of inference and training and cut down the costs of running neural nets. Does anyone on this community have experience using NM chips in production environments for real-world use cases or for research? If you do, what is your take? If...
A recent article by InfoWorld claims many enterprises are moving from TensorFlow to PyTorch:https://www.infoworld.com/article/3597904/why-enterprises-are-turning-from-tensorflow-to-pytorch.htmlThe article seems a bit lopsided:- There's only a quote from Facebook AI and no quotes from Google's TF team- I'm pretty sure you can find several examples of organizations that were more comfortable with...
Is there any wide-scale product/project that uses ASICs for DL inference, obviously at the edge but also possibly in the cloud? If not, what is the key challenge (aside from customized hardware requirements) that make it difficult to use ASIC architectures at production-stage DL?
Hi,I'm the editor of TechTalks (and an ML practitioner). A while ago, I was pitched an idea about the failures of GPUs in machine learning systems. The key arguments are:1- GPUs quickly break down under environmental factors2- Have a very short life span3- produce a lot of heat and require extra electricity to cool down4- maintenance, repair, replacement is a nightmareAll of these factors make...