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
Topic 23: What is LLM Inference, it's challenges and solutions for it
Plus a Video Interview with the SwiftKV Authors on Reducing LLM Inference Costs by up to 75%
Topic 23: What is LLM Inference, it's challenges and solutions for it
Plus a Video Interview with the SwiftKV Authors on Reducing LLM Inference Costs by up to 75%
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!
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