Natural Language Processing

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What is BiLingual Evaluation Understudy (BLEU) Score for Machine Translation?

2025-06-25T01:15:03+00:00

BiLingual Evaluation Understudy (BLEU) Score Cheat Sheet BLEU (BiLingual Evaluation Understudy) is a corpus-level metric designed to automatically evaluate the quality of machine-generated text, most commonly in machine translation (MT). It compares n-gram overlap between the machine’s output and one or more human reference translations. Introduced by Papineni et al. (2002), BLEU became the first automated metric to correlate highly with human judgments in large-scale MT evaluations. It remains a widely used baseline for evaluating machine-generated text. Common Use Cases The BLEU score is widely used in natural language processing tasks that require comparing machine-generated text to human-written references. Its primary [...]

What is BiLingual Evaluation Understudy (BLEU) Score for Machine Translation?2025-06-25T01:15:03+00:00

Is Codex CLI the Future of Coding? Understanding the Potential of This New AI-Powered Development Tool

2025-05-01T00:19:32+00:00

OpenAI is currently one of the most well-known names in artificial intelligence and is known for pushing the limits of what AI can accomplish. Over the years, the company has created a series of innovative solutions to make AI more useful and accessible to both individuals and businesses. The most widely used AI tool globally is their very own ChatGPT, an AI-powered virtual assistant capable of achieving different tasks such as answering queries, content creation, learning about new subjects, and even programming. With millions of users globally, ChatGPT has shown just how powerful AI can be in everyday life. Now, [...]

Is Codex CLI the Future of Coding? Understanding the Potential of This New AI-Powered Development Tool2025-05-01T00:19:32+00:00

Methods in Evaluating Foundation Model Performance

2024-11-29T05:59:36+00:00

A foundation model is a large-scale, pre-trained artificial intelligence model that serves as a general-purpose system for various downstream tasks. These models, such as GPT for natural language processing or CLIP for vision-language understanding, are trained on extensive datasets and can be fine-tuned or adapted to specific applications. Foundation models are characterized by their ability to generalize across tasks, making them highly versatile and impactful in AI-driven solutions. Evaluating these models' performance is essential to understand their reliability, applicability, and potential business value. However, these models' vast scale and complexity pose unique challenges for evaluation, requiring a multifaceted approach. This article [...]

Methods in Evaluating Foundation Model Performance2024-11-29T05:59:36+00:00

Amazon Kendra

2024-03-23T06:15:27+00:00

Bookmarks Features Benefits Use Cases Document Types and Formats Supported Data Sources Querying Data Use of Tags Pricing Amazon Kendra Cheat Sheet Amazon Kendra is a highly scalable, intelligent enterprise search service. It utilizes machine learning to search unstructured data and improve accuracy in search results. It’s tightly integrated with other AWS services, such as Amazon S3 and Amazon Lex. It offers enterprise-grade security. Features Natural Language Processing (NLP): Amazon Kendra uses NLP to get highly accurate answers without the need for machine learning (ML) expertise. Fine-tuning Search Results: [...]

Amazon Kendra2024-03-23T06:15:27+00:00

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