“Most of people here keep talking about Google takeout and that is the way to get back and recover old missing chats or deleted chats on Gemini ?”

“By structuring the system around retrieval, answer synthesis, and self-evaluation, we demonstrate how agentic patterns […]”

“Yes, when typing an actual string it tends to show relevant results first, but in a way that is absolutely useless to retrieve actual info, especially from older chats.”

“ChatGPT can now search through your full chat history and pull details from earlier conversations...”

“Is this actually possible, or would the sentences just be generated on the spot?”

“It doesn't just retrieve chunks; it compresses relevant information into "Memory Tokens" in the latent space.”

“R-Debater achieves higher single-turn and multi-turn scores compared with strong LLM baselines, and human evaluation confirms its consistency and evidence use.”

“The baseline model can compress a 20-second video into a context at about 5k length, where random frames can be retrieved with perceptually preserved appearances.”

“The best prompt-based LLM generator achieves the state-of-the-art (SOTA) performance with significant improvement (>7%), yet it is still below the human expert performance.”

“The LLM often generates incorrect answers instead of declining to respond, which constitutes a major source of error.”

“The author wants to automatically evaluate whether search results provide the basis for answering questions using an LLM.”

“By injecting vulnerable code equivalent to only 0.05% of the entire knowledge base size, an attacker can successfully manipulate the backdoored retriever to rank the vulnerable code in its top-5 results in 51.29% of cases.”

“This solution is provided through a Jupyter notebook that enables users to upload multi-modal business documents and extract insights using BDA as a parser to retrieve relevant chunks and augment a prompt to a foundational model (FM).”

“RAG (Retrieval-Augmented Generation) is an architecture where LLMs (Large Language Models) retrieve external knowledge and generate text based on the results.”

“PhysMaster couples absract reasoning with numerical computation and leverages LANDAU, the Layered Academic Data Universe, which preserves retrieved literature, curated prior knowledge, and validated methodological traces, enhancing decision reliability and stability.”

“To address these limitations, we propose M$^3$KG-RAG, a Multi-hop Multimodal Knowledge Graph-enhanced RAG that retrieves query-aligned audio-visual knowledge from MMKGs, improving reasoning depth and answer faithfulness in MLLMs.”

“Model Context Protocol (MCP) is a standard protocol for integrating external data and tools into LLM applications.”

“多くの場合、精度改善の議論は「検索後」の工程に集中しがちですが、実はその前段階である「質問そのもの」が精度改善を大きく左右しています。”

“The paper focuses on efficient dense retrievers.”

“The article likely presents a new method for improving memory retrieval in LLM agents.”

“The article's specific methodologies and experimental results would be crucial to assess its contribution. The effectiveness of the retrieval mechanism and the prompt generation strategy are key aspects to evaluate.”

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“The feature store is a critical part of how we rank and retrieve the right context across your work.”

“The research focuses on creating a benchmark for retrieving targeted web pages.”

“The paper focuses on characterizing Mamba's selective memory.”

“The article likely explores how different RAG techniques (e.g., different retrieval methods, different ways of integrating retrieved information) impact the accuracy and fluency of Bengali standard-to-dialect translation.”

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“The research focuses on retrieving moments in hour-long videos.”

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“The article suggests exploring a new technique for improving Retrieval-Augmented Generation (RAG).”

“The article would likely include details on the methodologies used for comparison, the datasets employed, and the performance metrics used to evaluate the retrieval methods.”

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“Self-Explaining Contrastive Evidence Re-ranking”

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“The article is based on a paper from ArXiv, which suggests it's a recent research publication.”

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“The plugin functionality allows for direct data access from Hacker News.”

“How do you choose the best components for your RAG, such as the retriever, reranker, and LLM? How do you formulate a test dataset without spending tons of money and time?”

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“The tool employs Anthropic's Claude LLM model for generating high-quality summaries of retrieved passages, contextualizing your search topic.”

“The summary is the only provided text, so there are no subordinate quotes.”

“Bloop uses a combination of neural semantic code search (comparing the meaning - encoded in vector representations - of queries and code snippets) and chained LLM calls to retrieve and reason about abstract queries.”

“The article likely details how to combine the power of Hugging Face Transformers for LLMs with Ray for distributed computing to create a scalable RAG system.”

“The article likely explains how attention mechanisms allow models to focus on relevant parts of the input, and memory modules store and retrieve information.”