Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Text Embeddings Reveal (Almost) As Much As Text

Retrieval-Augmented Generation for Large Language Models: A Survey

Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache

Fine-Tuning vs. Retrieval: Enhancing Knowledge in Large Language Models

The Library of Alexandria

State of AI Report 2023: Navigating the Evolving Landscape

Collaborative Knowledge Base Embedding for Recommender Systems

Why Vector Based Personalization is Better Than Its Alternatives

LLM-Rec: Personalized Recommendation via Prompting Large Language Models

Mixtral of Experts

Causal Inference for Recommender Systems

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Lost in the Middle: How Language Models Use Long Contexts

Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs

WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia

Dynamic Customer Embeddings for Financial Service Applications

Harnessing LLMs for the Next Wave of Consumer Experiences

Mistral 7B: Advancements in Language Model Efficiency and Performance

OpenAI Safety&Alignment Papers

Upgrading Recommender Systems with Large Language Models

Upgrading Recommender Systems with LLMs

Knowledge Interface Between Humans and AI

RAPTOR: RECURSIVE ABSTRACTIVE PROCESSING FOR TREE-ORGANIZED RETRIEVAL

Nomic Embed: Training a Reproducible Long Context Text Embedder

Retrieval meets Long Context Large Language Models by NVIDIA

Unified Embedding Based Personalized Retrieval in Etsy Search

wikipedia.20220301.en

FERRET: REFER AND GROUND ANYTHING ANYWHERE AT ANY GRANULARITY

wikipedia/20220301.en

Efficient LLM Inference CPUs