NLP

A rising tide lifts all boats, and the recent advances in LLMs are no exception. In this blog post, we will explore how Knowledge Graphs can benefit from LLMs, and vice versa. In particular, Knowledge Graphs can ground LLMs with facts using Graph RAG, which can be cheaper than Vector RAG. We'll look at a 10-line code example in LlamaIndex and see how easy it is to start. LLMs can help build automated KGs, which have been a bottleneck in the past. Graphs can provide your Domain Experts with an interface to supervise your…

If your work involves data analysis, SEO optimization, or any role that requires sifting through digital content, understanding how to effectively extract keywords is essential. This skill streamlines data management and accessibility, representing a significant advancement in data processing and analysis methodologies. Right at the center of this ability is Natural Language Processing. This cutting-edge technology empowers computers to understand human language, effectively narrowing the divide between digital data…

This tutorial explains how to build a containerized sentiment analysis API using Hugging Face, FastAPI and DockerContinue reading on Towards Data Science » This tutorial explains how to build a containerized sentiment analysis API using Hugging Face, FastAPI and DockerContinue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is…

In today's fast-paced world, we're bombarded with more information than we can handle. We’re increasingly getting used to receiving more information in less time, leading to frustration when having to read extensive documents or books. That's where extractive summarization steps in. To get to the heart of a text, the process pulls out key sentences from an article, piece, or page to give us a snapshot of its most important points.  For anyone needing to understand big documents without reading every word, this is a game…

Recent AI advancements in API technology involve enhancing natural language processing capabilities, improving algorithmic decision-making through reinforcement learning, and expanding AI integration across diverse sectors like healthcare, finance, and e-commerce to create more intelligent, adaptable, and tailored API solutions. Key Trends and Advancements AutoML for APIs AutoML (Automated Machine Learning) tools are increasingly being used to automate the development of machine learning models that can be exposed through…

Understanding Vector Databases A vector database is a type of database specifically designed to store and manage vector data using arbitrary but related coordinates to related data. Unlike traditional databases that handle scalar data (like numbers, strings, or dates), vector databases are optimized for high-dimensional data points. But first, we have to talk about vector embeddings. Vector embeddings are a method used in natural language processing (NLP) to represent words as vectors in a lower-dimensional space. This…

A deep dive into the one line of code that can bring thousands of ready-to-use AI solutions into your scriptsContinue reading on Towards Data Science » A deep dive into the one line of code that can bring thousands of ready-to-use AI solutions into your scriptsContinue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is…

Artificial intelligence (AI) is revolutionizing customer service across industries by enabling efficient issue resolution, personalized recommendations, and omnichannel integration. AI-powered self-service, intelligent chatbots, sentiment analysis, predictive modeling, process automation, and data-driven insights are key technologies improving customer satisfaction and operational efficiency. Leading brands across retail, telecom, financial services, healthcare, and other sectors are using AI to transform their contact…

In today's world, we are bombarded with a vast amount of information, much of which is in the form of text. To make sense of this data, it's important to be able to extract the most important information quickly and efficiently. Natural Language Processing (NLP) provides a range of techniques for text summarization, allowing users to identify the key insights and make informed decisions. However, implementing these techniques is not always straightforward. This article takes a detailed look at text summarization,…

SEO has come a long way from the days of keyword stuffing. Modern search engines like Google now rely on advanced natural language processing (NLP) to understand searches and match them to relevant content. This article will explain key NLP concepts shaping modern SEO so you can better optimize your content. We’ll cover:How machines process human language as signals and noise, not words and concepts. The limitations of outdated latent semantic indexing (LSI) techniques. The growing role of entities –…