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  1. 3 days ago · Alex Graves, chief visionary officer from Silicon Reef, provides insights on leveraging tools such as Microsoft Viva to ensure inclusive and effective communication with frontline workers. Engaging frontline workers is hardly a new challenge, but the pandemic shone a real spotlight on the importance of frontline worker engagement, and many IC professionals have been playing catch-up ever since.

  2. 3 days ago · By Jeremy Scott Diamond Brittany Harris Julian Burgess Alex Graves Ruby Wang Christopher Udemans Demetrios Pogkas Leonardo Nicoletti Alex Morales With assisstance from Karolina Sekula Victoria ...

  3. Jun 28, 2024 · Alex Graves. Chief Visionary Officer and Founder at Silicon Reef. Connecting people with Microsoft 365 to Work Happy. Published Jun 28, 2024. + Follow. In the world of television,...

  4. Jun 10, 2024 · We show that diffusion models can achieve image sample quality superior to the current state-of-the-art generative models. We achieve this on unconditional image synthesis by finding a better architecture through a series of ablations. For conditional image synthesis, we further improve sample quality with classifier guidance: a ...

  5. Jun 25, 2024 · Insight: LLMs can easily memorize random labels without generalization error. We show that pre-trained LLMs can fit random labels without increasing their generalization error. This challenges the conventional wisdom that hallucinations are a consequence of a balance between creativity and factuality.

  6. 4 days ago · Journeyman is a 2007 American science fiction romance television series created by Kevin Falls for 20th Century Fox Television which aired on the NBC television network. It starred Kevin McKidd as Dan Vasser, a San Francisco reporter who involuntarily travels through time. Alex Graves, who directed the pilot, and Falls served as ...

  7. Jun 10, 2024 · Offline (or batch) reinforcement learning (RL) algorithms seek to learn an optimal policy from a fixed dataset without active data collection. Based on the composition of the offline dataset, two main methods are used: imitation learning which is suitable for expert datasets, and vanilla offline RL which often requires uniform ...