Tootfinder

Pixmo-Roboter erhält bewegliches Förderband und entlädt Pakete schneller
Der Pixmo-Roboter hat ein automatisch verstellbares Förderband als Add-on erhalten, das den Ausladevorgang von Lkws und Containern deutlich beschleunigt.

Das mittelhochdeutsche Wörterbuch auf dem Kindle … das hätte man technisch richtig gut umsetzen können …
… so ist es leider nur eine ewige Scrollerei und Klickerei von Hand, da das Inhaltsverzeichnis nur den Sachteil berücksichtigt und der ganze "Wörterbuch"-Teil ein einziger großer Klops ist.
Von Seite 50 bis Seite 1445, kein. einziger. Eintrag. im. Index.
Wird auf andere Einträge verwiesen: Man kann nicht hinspringen.

On va voir si le principe "accusation vaut condamnation" s'applique toujours.
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[Le Monde] - #LaFranceInsoumise et les écologistes rattrapés par deux affaires #metoo.
Les deux partis de gauche font de nouveau face Š des accusations de

La France insoumise et les écologistes rattrapés par deux affaires #metoo
Les deux partis de gauche font de nouveau face à des accusations de violences sexuelles ou psychologiques de la part d’élus sur leurs compagnes.

This https://arxiv.org/abs/2310.01329 has been replaced.
link: https://scholar.google.com/scholar?q=a

BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models
Retrieval augmentation addresses many critical problems in large language models such as hallucination, staleness, and privacy leaks. However, running retrieval-augmented language models (LMs) is slow and difficult to scale due to processing large amounts of retrieved text. We introduce binary token representations (BTR), which use 1-bit vectors to precompute every token in passages, significantly reducing computation during inference. Despite the potential loss of accuracy, our new calibration…

Beyond Relevance: Evaluate and Improve Retrievers on Perspective Awareness
Xinran Zhao, Tong Chen, Sihao Chen, Hongming Zhang, Tongshuang Wu
https://arxiv.org/abs/2405.02714

Beyond Relevance: Evaluate and Improve Retrievers on Perspective Awareness
The task of Information Retrieval (IR) requires a system to identify relevant documents based on users' information needs. In real-world scenarios, retrievers are expected to not only rely on the semantic relevance between the documents and the queries but also recognize the nuanced intents or perspectives behind a user query. For example, when asked to verify a claim, a retrieval system is expected to identify evidence from both supporting vs. contradicting perspectives, for the downstream sys…

New justification for sending me a notification just dropped.

I'd forgotten how sketchy early 2010's Bluetooth pairing can be. I can get the #toyota to pair to my phone but it refuses to be an audio sink. I guess the radio will be responsible for tunes for the #roadtrip next week.

Wir haben die Osterurlaub genutzt und unseren USA Roadtrip im Sommer jetzt fast vollständig geplant. Das wir ein sensationeller Urlaub!
#usa #roadtrip #wyoming

This https://arxiv.org/abs/2405.00465 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

BiomedRAG: A Retrieval Augmented Large Language Model for Biomedicine
Large Language Models (LLMs) have swiftly emerged as vital resources for different applications in the biomedical and healthcare domains; however, these models encounter issues such as generating inaccurate information or hallucinations. Retrieval-augmented generation provided a solution for these models to update knowledge and enhance their performance. In contrast to previous retrieval-augmented LMs, which utilize specialized cross-attention mechanisms to help LLM encode retrieved text, Biome…

Comparative Analysis of Retrieval Systems in the Real World
Dmytro Mozolevskyi, Waseem AlShikh
https://arxiv.org/abs/2405.02048 https://

Comparative Analysis of Retrieval Systems in the Real World
This research paper presents a comprehensive analysis of integrating advanced language models with search and retrieval systems in the fields of information retrieval and natural language processing. The objective is to evaluate and compare various state-of-the-art methods based on their performance in terms of accuracy and efficiency. The analysis explores different combinations of technologies, including Azure Cognitive Search Retriever with GPT-4, Pinecone's Canopy framework, Langchain with …