PinnedTransforming Customer Support with AI: How We Built a Scalable Solution on SageMaker and AWS —…Note: This is part 1 for this series. There would be another second part which goes into implementation details on how to build this…5d ago5d ago
PinnedPublished inPython’s GurusMixture of Memory Experts: Lamini Memory TuningIntroductionJun 152Jun 152
PinnedAt the Frontier of AI: Reviewing Top Papers on Mixture of Experts in Machine LearningNote: AI tools are used in this blog post!Dec 13, 2023Dec 13, 2023
PinnedExpert Gate: Lifelong Learning with a Network of ExpertsNote: AI tools are used in writing this blog post!Feb 9Feb 9
Reinforcement Learning Fine-Tuning by OpenAIOpenAI Just announced #Reinforcement Fine Tuning. Here is the demo:5d ago5d ago
Knowledge Distillation: Empowering Efficient AI ModelsAfter releasing the new model distillation API from OpenAI, I decided to write about what knowledge or model distillation is. Let’s get…Oct 6Oct 6
End-to-End Autonomous Driving with Hydra-MDP: A Breakthrough in Machine Learning-Based Planning by…Autonomous driving has been a long-standing challenge in the field of artificial intelligence and robotics. Developing a system that can…Aug 22Aug 22
LLMs in Autonomous Driving — Part 5: LLaDA by NVIDIAIn this blog post, I want to review one of the works from NVIDIA DRIVE Labs and a published paper called “Driving Everywhere with Large…Jun 16Jun 16
Published inPython’s GurusKAN: Kolmogorov–Arnold Networks — A Short SummaryLet’s review the core concepts in the KAN paper, a new neural network architecture that sounds promising. I will review the main idea in…May 91May 91