Why Vector Based Personalization is Better Than Its Alternatives
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
LLM-Rec: Personalized Recommendation via Prompting Large Language Models
Causal Inference for Recommender Systems
D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems
Knowledge Interface Between Humans and AI
In-context Learning with Retrieved Demonstrations for Language Models: A Survey
What is Retrieval-Augmented Generation (RAG)
User Embedding Model for Personalized Language Prompting
Efficient LLM Inference CPUs
Mixtral of Experts
WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia
Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs
Unlocking the Potential of AI Chatbots: The Role of Prompt Engineering
Some Yann LeCun Talks
Harnessing LLMs for the Next Wave of Consumer Experiences
Artificial Intelligence Techniques Applied to Cryptocurrency Market Prediction
Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache
Deep Residual Learning for Image Recognition
Long short-term memory
Andreesen Horowitz—written evidence on Large Language Models: House of Lords Communications and Digital Select Committee inquiry
Adam: A Method for Stochastic Optimization
Text Embeddings Reveal (Almost) As Much As Text
Computing Machinery and Intelligence - A. M. Turing (1950)
Artificial Intelligence: A Guide for Thinking Humans. - Melanie Mitchell
German RAG
Some Yann LeCun Talks (1988-2015)
Retrieval meets Long Context Large Language Models by NVIDIA