Memory Mechanism

DataFunSummit

Dec 12, 2024 · Artificial Intelligence

Exploring Generative Retrieval: Memory Mechanisms, GDR Paradigm, and Practical Applications

This presentation examines generative retrieval (GDR), compares it with sparse and dense retrieval paradigms, analyzes memory‑mechanism challenges from an EACL 2024 paper, reports experimental findings, proposes a hybrid GDR‑dense approach, and outlines real‑world application scenarios and future directions.

GDRMemory Mechanismdense retrieval

0 likes · 13 min read

Exploring Generative Retrieval: Memory Mechanisms, GDR Paradigm, and Practical Applications

DataFunSummit

Jul 17, 2024 · Artificial Intelligence

Overview of LLM‑Based Agents: Architecture, Key Challenges, and Future Directions

This article reviews the emerging field of large‑language‑model (LLM) based AI agents, outlining their overall architecture, core modules such as profiling, memory, planning and action, discussing current challenges, presenting concrete use‑cases, and highlighting promising research directions.

AI AgentLLMMemory Mechanism

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Overview of LLM‑Based Agents: Architecture, Key Challenges, and Future Directions

Xiaohongshu Tech REDtech

Apr 28, 2024 · Artificial Intelligence

Generative Dense Retrieval: Memory Can Be a Burden

The paper introduces Generative Dense Retrieval (GDR), a two‑stage retrieval framework that first maps queries to memory‑efficient document‑cluster identifiers and then uses dense vectors to locate individual documents, achieving higher recall and better scalability than traditional generative retrieval while incurring modest latency and capacity trade‑offs.

Memory Mechanismgenerative dense retrievalinformation retrieval

0 likes · 13 min read

Generative Dense Retrieval: Memory Can Be a Burden

DataFunTalk

Apr 8, 2024 · Artificial Intelligence

LLM‑Based Agents: Architecture, Key Challenges, and Future Directions

This article surveys the emerging field of large‑language‑model (LLM) based agents, detailing their modular architecture—including profiling, memory, planning, and action components—while discussing critical challenges such as role‑playing, memory design, reasoning, multi‑agent collaboration, and outlining promising research directions and practical case studies.

AI AgentLLMMemory Mechanism

0 likes · 11 min read

LLM‑Based Agents: Architecture, Key Challenges, and Future Directions