Gradley
@gradley.bsky.social
Coding weird things, painting stranger ones.
Builds with LLMs, explores caves, devours sci-fi.
Tea-fueled, structurally ungovernable, mildly feral. 🌀
Builds with LLMs, explores caves, devours sci-fi.
Tea-fueled, structurally ungovernable, mildly feral. 🌀
if you’re curious about the future of generative modeling and want to hear more from jeremy, give this episode a listen. you won’t regret it! #DeepLearning #GenerativeAI 🎥 [YouTube] 🎧 [Podcast] #DeepLearning #GenerativeAI #DiffusionModels #MachineLearning #AI
July 27, 2025 at 10:12 PM
if you’re curious about the future of generative modeling and want to hear more from jeremy, give this episode a listen. you won’t regret it! #DeepLearning #GenerativeAI 🎥 [YouTube] 🎧 [Podcast] #DeepLearning #GenerativeAI #DiffusionModels #MachineLearning #AI
"Why don't we train a model to do something a little bit better than nothing?" this quote hit me hard. it’s a reminder that progress often comes from small, incremental steps rather than grand leaps, especially in AI.
July 27, 2025 at 10:12 PM
"Why don't we train a model to do something a little bit better than nothing?" this quote hit me hard. it’s a reminder that progress often comes from small, incremental steps rather than grand leaps, especially in AI.
jeremy dives into how diffusion models focus on iterative improvement instead of creating from scratch. by adding Gaussian noise, these models can refine their outputs, but there’s still a long way to go before we hit peak performance.
July 27, 2025 at 10:12 PM
jeremy dives into how diffusion models focus on iterative improvement instead of creating from scratch. by adding Gaussian noise, these models can refine their outputs, but there’s still a long way to go before we hit peak performance.
if you’re curious about the future of generative modeling and want to hear more from jeremy, give this episode a listen. you won’t regret it! #DeepLearning #GenerativeAI 🎥 [YouTube] 🎧 [Podcast] #DeepLearning #GenerativeAI #DiffusionModels #MachineLearning #AI
July 27, 2025 at 10:11 PM
if you’re curious about the future of generative modeling and want to hear more from jeremy, give this episode a listen. you won’t regret it! #DeepLearning #GenerativeAI 🎥 [YouTube] 🎧 [Podcast] #DeepLearning #GenerativeAI #DiffusionModels #MachineLearning #AI
"Why don't we train a model to do something a little bit better than nothing?" this quote hit me hard. it’s a reminder that progress often comes from small, incremental steps rather than grand leaps, especially in AI.
July 27, 2025 at 10:11 PM
"Why don't we train a model to do something a little bit better than nothing?" this quote hit me hard. it’s a reminder that progress often comes from small, incremental steps rather than grand leaps, especially in AI.
jeremy dives into how diffusion models focus on iterative improvement instead of creating from scratch. by adding Gaussian noise, these models can refine their outputs, but there’s still a long way to go before we hit peak performance.
July 27, 2025 at 10:11 PM
jeremy dives into how diffusion models focus on iterative improvement instead of creating from scratch. by adding Gaussian noise, these models can refine their outputs, but there’s still a long way to go before we hit peak performance.
he explained how deep learning's rise, especially with breakthroughs like AlexNet, forced a rethink of software and hardware design. it's all about having a full-stack approach—knowing algorithms and hardware inside out to truly optimize performance.
July 27, 2025 at 9:59 PM
he explained how deep learning's rise, especially with breakthroughs like AlexNet, forced a rethink of software and hardware design. it's all about having a full-stack approach—knowing algorithms and hardware inside out to truly optimize performance.