Scaling laws for AI Large Language Models and the inverse scaling hypothesis
What are the scaling laws for AI Large Language Models and the inverse scaling hypothesis? How is that related to the Dunning-Kruger effect? The last couple of years have been an AI model arms race involving a number of players from industry and research. Google, DeepMind, Meta, Microsoft, in collaboration with both OpenAI and Nvidia are […]
Read More →Quantum computing pioneer D-Wave looks at the technology’s past, present and future
Quantum computing could be a disruptive technology. It’s founded on exotic-sounding physics and it bears the promise of solving certain classes of problems with unprecedented speed and efficiency. The problem, however, is that to this day, there has been too much promise and not enough delivery in the field, some say. Perhaps with the exception of D-Wave.
Read More →Trends in data and AI: Ben Lorica on cloud, platforms, models and Pegacorns
As Ben Lorica will readily admit, at the risk of dating himself, he belongs to the first generation of data scientists. In addition to having served as Chief Data Scientist for the likes of Databricks and O’Reilly, Lorica advises and works with a number of venture capitals, startups and enterprises, conducts surveys, and chairs some […]
Read More →The state of AI in 2022: Evolution, Distribution, Safety
If you think AI is moving at a breakneck speed and it’s almost impossible to keep up, you are not alone. Even if being on top of all things AI is part of your job, it’s getting increasingly hard to do that. Nathan Benaich and Ian Hogarth know this all too well, yet somehow they […]
Read More →Salesforce’s AI Economist research wants to explore the equilibrium between equality and productivity
Economic theory is known to be constrained by a number of inefficiencies in its modeling. Salesforce researchers claim AI can help address that, leading to more robust economic policies. 2016 was a pivotal year for Salesforce. That was when the company acquired MetaMind, “an enterprise AI platform that worked in medical imaging and eCommerce images […]
Read More →4 AI research trends everyone is (or will be) talking about
Using AI in the real world remains challenging in many ways. Organizations are struggling to attract and retain talent, build and deploy AI models, define and apply responsible AI practices, and understand and prepare for regulatory framework compliance.
Read More →You.com is taking on Google with AI, apps, privacy, and personalization
Award-winning AI research? Check. Startup and enterprise experience? Check. Venture capital and Mark Benioff backing? Check. Is that enough for Richard Socher’s you.com to take on Google? Are you happy with Google search? Regardless of how you answer this question, chances are you still use it. With the notable exceptions of China and Russia, where […]
Read More →The data science and AI market may be out for a recalibration
Data science roles are still "sexy" but not immune to the job market turmoil.
Read More →What development of LLM best practices means for the enterprise
Large language models (LLMs) and multimodal AI are the cutting edge of AI innovation, with applications trickling down to the enterprise from the ‘Googles’ and ‘OpenAIs’ of the world. We are currently seeing a barrage of LLM and multimodal AI model announcements, as well as commercial applications created around them.
Read More →Resisting the urge to be impressed, knowing what we talk about when we talk about AI
A brief history of recent advances in AI, what they mean, and why you should care — or not.
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