Hacker News

APRIL 9, 2024

Embedding models are available in Ollama, making it easy to generate vector embeddings for use in search and retrieval augmented generation (RAG) applications.

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Analytics Vidhya

APRIL 12, 2024

Only when we get […] The post Enhancing RAG with Hypothetical Document Embedding appeared first on Analytics Vidhya. Since the inception of RAG, various methods have been proposed to enhance the standard RAG approach. The biggest hurdle in RAG is to retrieve the right document.

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Analytics Vidhya

DECEMBER 21, 2023

Enter Locally Linear Embedding (LLE), a powerful technique that peels back the layers of complexity to reveal the simpler structure beneath. This post takes you […] The post Locally Linear Embedding Demystifies High-Dimensional Data appeared first on Analytics Vidhya.

Machine Learning 262

Machine Learning Machine Learning Analytics Analytics 262

Data Science Dojo

FEBRUARY 8, 2024

In the ever-evolving landscape of natural language processing (NLP), embedding techniques have played a pivotal role in enhancing the capabilities of language models. Word embeddings were created to address the absence of efficient text representations for NLP models.

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Analytics Vidhya

JANUARY 5, 2022

Introduction Pre-requisite: Basic understanding of Python, machine learning, scikit learn python, Classification Objectives: In this tutorial, we will build a method for embedding text documents, called Bag of concepts, and then we will use the resulting representations (embedding) to classify these documents. First, […].

Machine Learning 269

Machine Learning Machine Learning Python Data Science 269

Data Science Dojo

MARCH 19, 2024

Vector embeddings have revolutionized the representation and processing of data for generative AI applications. The versatility of embedding tools has produced enhanced data analytics for its use cases. Let’s start our exploration with an overview of vector embedding tools. What are vector embedding tools?

ML 195

ML ML AI AI 195

Analytics Vidhya

JANUARY 19, 2023

Word embeddings are an efficient way of representing words in the form of vectors. Word embeddings provide similar vector […] The post Introduction to FastText Embeddings and its Implication appeared first on Analytics Vidhya.

Machine Learning 264

Machine Learning Machine Learning Algorithm Analytics 264

Data Science Dojo

MARCH 13, 2024

A vector embedding model is one such tool that is a critical component of AI applications for creating realistic text, images, and more. In this blog, we will explore vector embedding models and the various parameters to be on the lookout for when choosing an appropriate model for your AI applications. What are vector embedding models?

AI 221

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Analytics Vidhya

JULY 15, 2022

The post Recommending Similar Images using Image Embedding appeared first on Analytics Vidhya. E-commerce websites often use such recommender systems. It works on a simple logic – if a consumer shows interest […].

Data Science 330

Data Science Analytics Analytics Python 330

Analytics Vidhya

JULY 13, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Why are word embeddings needed? The post Word2Vec For Word Embeddings -A Beginner’s Guide appeared first on Analytics Vidhya. Let us consider the two sentences.

Data Science 345

Data Science Analytics Analytics Python 345

Analytics Vidhya

AUGUST 26, 2023

Creating BERT embeddings is especially good at grasping sentences with complex meanings. It does this by examining […] The post Creating BERT Embeddings with Hugging Face Transformers appeared first on Analytics Vidhya. BERT greatly impacted how we study and work with human language.

Analytics 202

Analytics Analytics 202

Hacker News

APRIL 24, 2024

In this work, we move beyond the traditional complex-valued representations, introducing more expressive hypercomplex representations to model entities and relations for knowledge graph embeddings. More specifically, quaternion embeddings, hypercomplex-valued embeddings with three imaginary components, are utilized to represent entities.

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Analytics Vidhya

SEPTEMBER 29, 2023

These […] The post Revolutionizing Image Retrieval: Harnessing Neo4j and Embeddings for Speed and Precision appeared first on Analytics Vidhya. But how do you navigate through a vast sea of images to pinpoint those perfect matches? Enter the world of robust image retrieval systems.

Analytics 300

Analytics Analytics Database 300

Machine Learning Research at Apple

NOVEMBER 7, 2023

This is achieved by replacing the input embedding layer of the model with dynamic, for example, on-the-fly, embedding computations. We introduce EELBERT, an approach for compression of transformer-based models (for example, BERT), with minimal impact on the accuracy of downstream tasks.

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Analytics Vidhya

JANUARY 27, 2023

Usually, Machine Learning models are trained on big chunks of data to analyze the patterns where […] The post How is TinyML Used for Embedding Smaller Systems? Machine Learning is a subset of Artificial Intelligence where a computer learns from data and analyses its patterns to predict an outcome. appeared first on Analytics Vidhya.

Machine Learning 319

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 319

Dataconomy

JANUARY 26, 2024

The realm of artificial intelligence continues to evolve with New OpenAI embedding models. Now you are ready to explore the new OpenAI embedding models! Let’s delve into the details of these innovative models: text-embedding-3-small and text-embedding-3-large. to an impressive 44.0%. MTEB average 61.0

Natural Language Processing 127

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Hacker News

JANUARY 25, 2024

We are launching a new generation of embedding models, new GPT-4 Turbo and moderation models, new API usage management tools, and soon, lower pricing on GPT-3.5

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Analytics Vidhya

JULY 20, 2022

The post Training and Inference of Language Models using Embedding Recycling appeared first on Analytics Vidhya. While new tasks and models emerge so often for many application domains, the underlying documents being modeled stay mostly unaltered. In light of this, to improve the efficiency of future […].

Data Science 310

Data Science Analytics Analytics 310

Hacker News

MARCH 5, 2024

This is sort of a follow-up on Embedded Swift running on the Raspberry Pi Pico, but with a different take. I managed to create a very small Embedded Swift "toolchain" for building pure Swift executables for the Raspberry Pi Pico (it might also work with other RP2040 boards, but I'm only testing on the Pico).

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Machine Learning Research at Apple

NOVEMBER 15, 2023

We contsruct the representative acousting embeding of a keyword using graphene-to-phone conversion. The phone-to-embedding conversion is done by looking up the embedding dictionary which is built by averaging the corresponding embeddings (from audio encoder) of each phone during the training.

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Analytics Vidhya

SEPTEMBER 10, 2022

The post Understanding Word Embeddings and Building your First RNN Model appeared first on Analytics Vidhya. However, even though it’s easy to delve into the topic, many people are confused by the terminology and end up only implementing neural network […].

Deep Learning 338

Deep Learning Deep Learning Data Science Analytics 338

Dataconomy

AUGUST 28, 2023

Whether you are an end-user wanting access or control over products and services, or a manufacturer wishing to build better technology systems faster than before – one key component remains essential: embedded software development. For up-to-date reference on embedded software development best practices, you can go for N-ix resources.

Internet of Things 172

Internet of Things 172

Hacker News

MARCH 11, 2024

A popular application is to quantify semantic similarity between high-dimensional objects by applying cosine-similarity to a learned low-dimensional feature embedding. This can work better but sometimes also worse than the unnormalized dot-product between embedded vectors in practice.

Analytics 140

Analytics Analytics 140

Hacker News

OCTOBER 25, 2023

Jina AI introduces jina-embeddings-v2, the world's first open-source model boasting an 8K context length. Matching the prowess of OpenAI's proprietary models, this innovation is now publicly accessible on Huggingface, signaling a significant milestone in the landscape of text embeddings.

AI 182

AI AI 182

Hacker News

APRIL 17, 2024

Vector embeddings have been an Overton window shifting experience for me, not because they’re sufficiently advanced technology indistinguishable from magic, but the opposite. Once I started using them, it felt obvious that this was what the search experience was always supposed to be: less “How did you do that?”

AI 173

AI AI 173

Analytics Vidhya

MARCH 15, 2020

Overview Understand the importance of pretrained word embeddings Learn about the two popular types of pretrained word embeddings – Word2Vec and GloVe Compare the. The post An Essential Guide to Pretrained Word Embeddings for NLP Practitioners appeared first on Analytics Vidhya.

Analytics 329

Analytics Analytics Python 329

Analytics Vidhya

AUGUST 25, 2020

Overview Learn about the word and sentence embeddings Know the top 4 Sentence Embedding Techniques used in the Industry Introduction The ability of. The post Top 4 Sentence Embedding Techniques using Python! appeared first on Analytics Vidhya.

Python 298

Python Analytics Analytics 298

Analytics Vidhya

MAY 26, 2023

In this blog post, we will take you on a journey through the architecture and implementation […] The post Building an End-to-End Data Pipeline on AWS: Embedded-Based Search Engine appeared first on Analytics Vidhya. With AWS, you can unleash the full potential of your data.

Data Pipeline 293

Data Pipeline AWS Analytics Analytics 293

KDnuggets

NOVEMBER 10, 2021

As a result, converting text to numbers, called embedding text, is an actively researched topic. In this article, we review different word embedding techniques for converting text into vectors. A machine can only understand numbers.

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Hacker News

OCTOBER 23, 2023

Embeddings are a really neat trick that often come wrapped in a pile of intimidating jargon. If you can make it through that jargon, they unlock powerful and exciting techniques …

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