Latest updates for Nlp

Fresh curated links around NLP are collected here so marketers can spot useful updates and turn timely ideas into posts faster.

Recent items include:

  • What NLP in Test Automation Actually Means and Why it Matters Now
  • NLP Applications in Business – Turning Unstructured Data into Operational Advantage
  • Understanding NLP Token Classification Tasks: From Words to Meaning

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roboticsandautomationnews.com /1 month ago

What NLP in Test Automation Actually Means and Why it Matters Now

Teams talk about NLP – natural language processing – in test automation, yet many still ask what it truly means. They hear about tools that turn plain language into test scripts, b...

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testingxperts.com /3 weeks ago

NLP Applications in Business – Turning Unstructured Data into Operational Advantage

Unstructured data is where many enterprise decisions slow down. This blog explains how NLP applications in business help convert emails, chats, tickets, calls, and documents into a...

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medium.com /1 month ago

Understanding NLP Token Classification Tasks: From Words to Meaning

Natural Language Processing (NLP) is one of the most powerful areas of Artificial Intelligence. It enables machines to understand…Continue reading on Medium »

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watch.impress.co.jp /1 month ago

NTT、LLM間の"語彙の壁"克服 異種LLMを連携可能に

NTTは、大規模言語モデル(LLM)における入出力単位「トークン」の語彙を精度劣化なく縮小させ、異なるLLM間でもトークン語彙を共通化できる世界初の推論技術を確立した。

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webkul.com /1 month ago

Top LLM Providers in the Market

Large language models (LLMs) are AI systems offered by LLM providers that process vast amounts of data to generate humanlike responses to natural language inputs. They are foundati...

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dzone.com /1 day ago

LLM-Powered Deep Parsing for Industrial Inventory Search

Industrial ERPs often look structured on the surface: item IDs, purchase orders, stock levels. But in many companies, they are overloaded with unintentional duplicates because the...

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medium.com /1 month ago

NLP for Beginners: How Machines Understand Text (Step-by-Step Guide)

Learn Natural Language Processing (NLP) using NLTK with a complete text preprocessing pipeline explained in simple termsContinue reading on Medium »

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amanda-n-george.medium.com /2 weeks ago

Your RAG is showing.

LLMs are this decade’s NLP engine — and RAG is the new “custom algorithm” nobody can actually benchmark.Continue reading on Medium »

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medium.com /1 week ago

機器學習:自然語言處理 (NLP) — 2

讀者筆記: 這是我在學習 NVIDIA: Building Transformer-Based NLP Applications 過程中的記錄。內容若有理解偏差或技術錯誤,懇請各位前輩不吝在評論區指正,讓我們一起交流進步!Continue rea...

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pub.towardsai.net /3 weeks ago

The Must-Know Topics for an LLM Engineer

From tokenisation to evaluation — how modern language models actually work in practiceContinue reading on Towards AI »

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medium.com /1 month ago

How NLP Discovers That a “SEAT” Isn’t Always for Sitting

Imagine for a moment that you are a Data Scientist working for SEAT, the well-known car manufacturer. Your boss asks you for something…Continue reading on Medium »

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computerweekly.com /3 weeks ago

Netherlands moves GPT-NL from lab to live: first pilots under way

Dutch national language model enters real-world testing with a €13.5m public budget and a project-claimed world-first licensing deal with national news publishers

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dzone.com /2 weeks ago

LLM Integration in Enterprise Applications: A Practical Guide

Until recently, many people viewed large language models (LLMs) largely as toys interesting to look at but not very practical in a business setting. However, that perception has be...

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habr.com /1 month ago

Добавим приставку нейро: взгляд на интеграцию LLM в продукт со стороны фронтенда

Привет, это Андрей Мелихов, ведущий разработчик интерфейсов в Yandex Cloud. Я работаю в команде DataLens — BI‑системы для визуализации больших наборов данных на дашбордах и графика...

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towardsdatascience.com /3 weeks ago

The Must-Know Topics for an LLM Engineer

From tokenisation to evaluation :  how modern language models actually work in practice The post The Must-Know Topics for an LLM Engineer appeared first on Towards Data Scien...

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marktechpost.com /1 week ago

Nous Research Releases Contrastive Neuron Attribution (CNA): Sparse MLP Circuit Steering Without SAE Training or Weight...

Nous Research releases Contrastive Neuron Attribution (CNA), a method that identifies and ablates sparse MLP neuron circuits to steer LLM behavior — no sparse autoencoder training,...

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kdnuggets.com /1 day ago

Practical NLP in the Browser with Transformers.js

This tutorial covers three NLP tasks: text classification, zero-shot labelling, and question answering using Transformers.js's pipeline() API.

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habr.com /2 weeks ago

Новый бенчмарк по кодингу для LLM ProgramBench: 9 топ моделей, 200 задач, 248 тысяч тестов. Полностью решённых — ноль

200 задач. 248 тысяч тестов. Девять моделей, среди них всё свежее: Opus 4.7, GPT 5.4, Gemini 3.1 Pro, Sonnet 4.6. На SWE-bench те же модели берут 70 % и выше. На ProgramBench — нол...

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habr.com /2 weeks ago

Новый бенчмарк по кодингу для LLM ProgramBench: 9 топ моделей, 200 задач, 248 тысяч тестов. Полностью решённых — ноль

200 задач. 248 тысяч тестов. Девять моделей, среди них всё свежее: Opus 4.7, GPT 5.4, Gemini 3.1 Pro, Sonnet 4.6. На SWE-bench те же модели берут 70 % и выше. На ProgramBench — нол...

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venturebeat.com /1 month ago

Karpathy shares 'LLM Knowledge Base' architecture that bypasses RAG with an evolving markdown library maintained by AI

AI vibe coders have yet another reason to thank Andrej Karpathy, the coiner of the term. The former Director of AI at Tesla and co-founder of OpenAI, now running his own independen...

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venturebeat.com /1 month ago

LLM-referred traffic converts at 30-40% — and most enterprises aren't optimizing for it

For more than two decades, digital discovery has operated on a simple model: search, scan, click, decide. That worked when humans were the ones doing the web searching; but with th...

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astgl.com /1 month ago

What's the Best Local LLM for Your Specific Task?

<p>Not every task needs the biggest model. A 4-billion parameter model can sort your notifications just as well as a</p>

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habr.com /2 weeks ago

Новый бенчмарк по кодингу для LLM ProgramBench: 9 топ моделей, 200 задач, 248 тысяч тестов. Полностью решённых — ноль

200 задач. 248 тысяч тестов. Девять моделей, среди них всё свежее: Opus 4.7, GPT 5.4, Gemini 3.1 Pro, Sonnet 4.6. На SWE-bench те же модели берут 70 % и выше. На ProgramBench — нол...

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syncfusion.com /1 month ago

Best LLM APIs in 2026: Comparing OpenAI, Claude, Gemini, Azure, Bedrock, Mistral & DeepSeek

Compare the top 7 AI APIs of 2026. Evaluate OpenAI, Anthropic, Gemini, DeepSeek, and more on pricing, context windows, SDKs, and enterprise compliance.

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computerweekly.com

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blogs.vmware.com

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habr.com

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medium.com

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