🌁#83: GAN is back
we’re revisiting classics. Are GANs still worthy of their title as one of the most captivating ideas in ML? plus collection of interesting articles, relevant news and must-read research papers. Dive in!
Guest post: Enhancing RAG with RA-DIT: A Fine-Tuning Approach to Minimize LLM Hallucinations*
RA-DIT, or Retrieval-Augmented Dual Instruction Tuning, is a method for fine-tuning both the LLM and the retriever in a RAG setup to enhance overall response quality
Guest post: Enhancing RAG with RA-DIT: A Fine-Tuning Approach to Minimize LLM Hallucinations*
RA-DIT, or Retrieval-Augmented Dual Instruction Tuning, is a method for fine-tuning both the LLM and the retriever in a RAG setup to enhance overall response quality
🌁#83: GAN is back
we’re revisiting classics. Are GANs still worthy of their title as one of the most captivating ideas in ML? plus collection of interesting articles, relevant news and must-read research papers. Dive in!
🦸🏻#7: From Agentic AI to Physical AI
How Jensen Huang worked backwards to start creating the future for the world + trends in AI and Robotics to keep an eye on
Archive
