What are Vector Databases and Why Are They Important for LLMs? - KDnuggets
Large language models (LLMs) currently have the AI world in a chokehold. It is essential to understand why vector databases are important to LLMs.| KDnuggets
Keyword stemming is no longer just a technical SEO tactic—it's essential for writing content that ranks higher on AI-driven search engines. Discover how to use variations, synonyms, and related phrases to capture more search intents and enhance your content's authority. The post Keyword Stemming: How to Write Smarter for SEO And AI Search appeared first on WPDeveloper.| WPDeveloper
Celebrated by ACL with a Lifetime Achievement Award, Kathleen McKeown continues to drive bold, cross-disciplinary research that redefines the field of natural language processing.| Department of Computer Science, Columbia University
Large language models (LLMs) currently have the AI world in a chokehold. It is essential to understand why vector databases are important to LLMs.| KDnuggets
The words we publish and hold up for peer review remain the best representation of our brains at work in the digital world. A published paper is the best way to look closely at the foundational assumptions of LLMs. And those begin with pop culture.| The Content Technologist
Sometimes, mid-planning, you'll hear something like, "We have to build out an entirely new content campaign that doesn't fit into our existing plan or budget because Wolverine is Canadian and his skeleton is infused with adamantine."| The Content Technologist
Learn how to integrate NLP into your SaaS product with this practical guide. Boost user experience, automation, and business growth.| Softude
Transformers take static vector embeddings, which assign single values to every token, and expand their context, nearly simultaneously as they process the context of every other word in the sentence. But who cares, let's listen to a pop song!| The Content Technologist
The first step in natural language processing is creating word-numbers, represented as points in space. If this confuses you, you're not alone. Keep reading.| The Content Technologist
This Buwan ng Wika (National Language Month), I'm proud to introduce FilBench, a big step forward in Filipino NLP evaluation. Read to learn more!| Lj Miranda
Discover how semantic gradients revolutionize AI by mimicking human logic to optimize agentic systems. Learn about their science, applications, and future impact.| Blue Headline
Even in the face of "black box" algorithms, the history of artificial intelligence—natural language processing, more specifically—has left plenty of clues.| The Content Technologist
Her research focuses on applying operations research to real-world problems. We spoke to her about OR, AI, and what’s next.| IBM Research
New tools from IBM Research can help LLM users check AI-generated content for accuracy and relevance and defend against jailbreak attacks.| IBM Research
The COBOL language underlies critical business systems, but WCA for Z is using the power of AI to help developers understand and modernize it.| IBM Research
Researchers at Hebrew University, IBM, and Yale summarize the latest in AI agent benchmarking and suggest four ways it could be improved.| IBM Research
IBM's Agent Communication Protocol gives AI agents a shared language to connect and collaborate to carry out complex, real-world tasks.| IBM Research
IBM's AI attribution toolkit helps users describe how AI contributed to their work.| IBM Research
The open-source LLM combines the sequence-modeling skill of a transformer with the inferencing speed of an SSM. IBM Granite will soon adopt key Bamba features.| IBM Research
IBM Research's new "adapted" LoRA can give LLMs specialized capabilities at inference time without the delay.| IBM Research
IBM's collection of LLM guardrail models take six of the top 10 spots on the new GuardBench leaderboard.| IBM Research
IBM Research's experimental platform lets developers run open-source AI agents from any framework and in any coding language.| IBM Research
Now focused on large language models, he divides his time between research on AI evaluation and AI efficiency| IBM Research
IBM’s new vision-language model for enterprise AI can extract knowledge locked away in tables, charts, and other graphics, bringing enterprises closer to automating a range of document understanding tasks.| IBM Research
Charlie Warburton and James Brookes Economists have repeatedly shown that readability of central banking communication matters. But they typically measure readability in a crude way – using th…| Bank Underground
Answering top FAQs from Google Search about Natural Language Processing (NLP). What is NLP and examples?NLP, or Natural Language Processing, is a field of AI| AI GPT Journal
A key part of becoming a skilled reader is understanding how words are built — that is, how small parts of words that carry meaning come together to form words. For example, the word unhappy is made up of two parts: un- and happy, and the word unhappiness includes both of these parts as well as a third part, -ness. These meaningful parts are called morphemes, and each one contributes in a specific way to a word’s meaning.Morphemes are important because knowing how they work helps us un...| rastlelab
This blog post is an introduction on how to make a key phrase extractor in Python, using the Natural Language Toolkit (NLTK). But how will a search engine know what it is about? How will this document be indexed correctly? A human can read it and tell that it is| alexbowe.com
Lately, I've been thinking a lot about visualizing datasets, and good old-fashioned t-SNE embeddings came to mind. In this blog post, indulge me as I examine a "data map" of our Tagalog NER dataset.| Lj Miranda
Cross-government and cross-public sector working are increasingly important, with departments appreciating that colleagues are likely to be facing the same issues with the same solutions. This makes communities of practice and communities of interest such as the Data Science Community …| Data in government
The answer lies in a constellation of new techniques that transform LLMs into more methodical thinkers. Here's a look at five of the most influential strategies pushing reasoning LLMs into new territory.| TOPBOTS
OpenAI’s Operator AI agent simplifies repetitive online tasks, offering enhanced automation and productivity features for ChatGPT Pro subscribers.| WinBuzzer
Die Gefahren des Fremden und des Neuen Nach drei Tagen musste Meta (Facebook) sein “Deep Learning”-Sprachmodell Galactica aus dem Verkehr ziehen. Meta hatte Galactica für WissenschaftlerInnen entwickelt, um ihnen die Arbeit zu erleichtern. Das Schönste … Der Beitrag Galactica: Durch die Empörung in den Untergang erschien zuerst auf Gehirn & KI.| Gehirn & KI
We explore the top 10 AI trends, from the rise of multimodal systems to the increasing demand for smaller, more efficient models.| TOPBOTS
New Innovations Revolutionizing Various Industries - elblog.pl| elblog.pl
In natural language processing (NLP) applications, long prompts pose significant challenges, including slower inference speed, higher computational costs, and a diminished user experience. Furthermore, the limitations imposed by context length restrict model performance and application scope, creating a strong need to reduce prompt length. In a new paper 500xCompressor: Generalized Prompt Compression for Large Language| Synced
We have curated a list of some of the highest-quality generative AI courses from respected providers such as DeepLearning.ai, Google Cloud, AWS, IBM, and more.| TOPBOTS
Automated content generation and revision with LLMs| Nikita Kozodoi
Discover the latest advancements in personal AI assistants from leading tech companies like OpenAI, Google, Microsoft, Amazon, and Apple.| TOPBOTS
A collection of notes, projects, and essays.| Lj Miranda
We will delve into four leading AI research tools – ChatGPT, Gemini, Claude, and Perplexity – by assessing the quality of their responses, current data access, source referencing, and pricing.| TOPBOTS
Improve LLM responses in RAG use cases by interacting with the user| Nikita Kozodoi
ML solution and web app for predicting reading complexity of your texts| Nikita Kozodoi
The new Reddit April Fools social experiment, r/Imposter, went live today. The concept is this: users are presented with a list of 5 answers to the question “What makes you human?”, one of which is b| Leo Gao
Whisper, a speech recognition model trained on 680,000 hours of audio taken from the web, demonstrates the problems with Big Tech and data theft.| Papa Reo
