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  1. 15 de may. de 2024 · Abstract. The field of chemistry and Artificial Intelli-gence (AI) intersection is an area of active re-search that aims to accelerate scientific discov-ery. The integration of large language models (LLMs) with scientific modalities has shown significant promise in this endeavour.

  2. 30 de abr. de 2024 · [Submitted on 30 Apr 2024] Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language Models. Alireza Salemi, Hamed Zamani. This paper introduces uRAG--a framework with a unified retrieval engine that serves multiple downstream retrieval-augmented generation (RAG) systems.

  3. 29 de abr. de 2024 · So, I found a solution for changing the commentator language in FC 24. All that you need to do is to open regedit, go to Computer\HKEY_LOCAL_MACHINE\SOFTWARE\EA Sports\EA SPORTS FC 24, change the locale from en_US to ar_SA, then go to EA app, and repair the game. After you repair it, the game will download the commentator files.

  4. 20 de may. de 2024 · Understanding language and explainable AI. We invite researchers interested in the intersection of language understanding and the effective use of language technologies in human-machine interaction to submit papers and participate in LUHME 2024.

  5. 30 de abr. de 2024 · Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language Models | Papers With Code. 30 Apr 2024 · Alireza Salemi , Hamed Zamani ·. Edit social preview. This paper introduces uRAG--a framework with a unified retrieval engine that serves multiple downstream retrieval-augmented generation (RAG) systems.

  6. Hace 5 días · 1 Introduction. Machine translation (MT), is a subset of computational linguistics, that utilizes software to convert text or speech from one natural language to another. It serves as a crucial tool for facilitating information access, cross-language information retrieval, and speech comprehension.

  7. Hace 5 días · Setting Up the Prompt Flow Evaluation Pipeline. Step 1: Create connections for AOAI, Embedding models and custom model. Also, create connection to the Knowledge base. For custom and open-source models, establish a custom connection by providing details about the inference server endpoint, key, and deployment name.