Language modeling became a mainstay for choosing among candidate phrases in speech recognition and automatic translation systems but until recently, using such models for generating natural language found little success beyond abstract poetry24. Large language models The advent of large language models, ...
Evaluation: We need to evaluate both the document retrieval (context precision and recall) and generation stages (faithfulness and answer relevancy). It can be simplified with tools Ragas and DeepEval. 📚 References: Llamaindex - High-level concepts: Main concepts to know when building RAG pipel...
The networking type 1 is used as an example in this document. Networking mode 1: distributed VXLAN gateway + core switch as native WAC + VXLAN deployed across core and aggregation layers Three-layer switch networking VXLAN roles: core switch as border ...
Task-specific benchmarks: Tasks like summarization, translation, and question answering have dedicated benchmarks, metrics, and even subdomains (medical, financial, etc.), such asPubMedQAfor biomedical question answering. Human evaluation: The most reliable evaluation is the acceptance rate by users...
technique designed to mimic human cognitive attention -- was introduced in aresearch papertitled "Neural Machine Translation by Jointly Learning to Align and Translate." In 2017, that attention mechanism was honed with the introduction of the transformer model in anotherpaper, "Attention Is All You...
Large language model (LLM) systems, such as ChatGPT1 or Gemini2, can show impressive reasoning and question-answering capabilities but often ‘hallucinate’ false outputs and unsubstantiated answers3,4. Answering unreliably or without the necessary infor
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NLP is a fascinating branch of artificial intelligence that bridges the gap between human language and machine understanding. From simple text processing to understanding linguistic nuances, NLP plays a crucial role in many applications like translation, sentiment analysis, chatbots, and much more. ...
Task-specific benchmarks: Tasks like summarization, translation, and question answering have dedicated benchmarks, metrics, and even subdomains (medical, financial, etc.), such as PubMedQA for biomedical question answering. Human evaluation: The most reliable evaluation is the acceptance rate by use...
there are substantial data pre-processing steps involved prior to analyses. Many of these steps are often too detailed to document in publications, with researchers making their own analytical choices when processing the data. Third, as tools and techniques used in the science of science grow in ...