word2vec

word2vec

Google
+
+

Related Products

  • Expedience Software
    31 Ratings
    Visit Website
  • Google Cloud Speech-to-Text
    373 Ratings
    Visit Website
  • MobiPDF (formerly PDF Extra)
    6,068 Ratings
    Visit Website
  • Vertex AI
    783 Ratings
    Visit Website
  • Google AI Studio
    11 Ratings
    Visit Website
  • 800.com
    2,023 Ratings
    Visit Website
  • AnalyticsCreator
    46 Ratings
    Visit Website
  • StackAI
    48 Ratings
    Visit Website
  • Crowdin
    844 Ratings
    Visit Website
  • Hostinger
    60,915 Ratings
    Visit Website

About

GPTLocalhost is a local Word Add-in that seamlessly integrates your local large language models (LLMs) directly into Microsoft Word. Unlike most solutions on the market that transmit your documents to remote cloud servers, GPTLocalhost keeps everything on your computer—ensuring that your data remains fully local and completely private. With GPTLocalhost, you can work offline without any internet connection and still enjoy the full power of modern AI. It allows you to run your favorite local LLMs right inside Microsoft Word, combining the convenience of Word’s familiar interface with the intelligence of advanced language models. You can easily switch between different models as needed, benefit from total data privacy, and avoid recurring subscription costs—offering you full control, flexibility, and peace of mind.

About

Word2Vec is a neural network-based technique for learning word embeddings, developed by researchers at Google. It transforms words into continuous vector representations in a multi-dimensional space, capturing semantic relationships based on context. Word2Vec uses two main architectures: Skip-gram, which predicts surrounding words given a target word, and Continuous Bag-of-Words (CBOW), which predicts a target word based on surrounding words. By training on large text corpora, Word2Vec generates word embeddings where similar words are positioned closely, enabling tasks like semantic similarity, analogy solving, and text clustering. The model was influential in advancing NLP by introducing efficient training techniques such as hierarchical softmax and negative sampling. Though newer embedding models like BERT and Transformer-based methods have surpassed it in complexity and performance, Word2Vec remains a foundational method in natural language processing and machine learning research.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Users looking for an alternative to Microsoft Copilot in Word.

Audience

Researchers, data scientists, and developers working in natural language processing (NLP) and machine learning who need efficient word embeddings for text analysis and semantic understanding

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

$19.99/user
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

GPTLocalhost
Founded: 2024
United States
www.gptlocalhost.com

Company Information

Google
Founded: 1998
United States
code.google.com/archive/p/word2vec/

Alternatives

Alternatives

Gensim

Gensim

Radim Řehůřek
GloVe

GloVe

Stanford NLP
MagicScore Notation

MagicScore Notation

Maestro Music Soft
LexVec

LexVec

Alexandre Salle

Categories

Categories

Integrations

Gensim
Microsoft Word

Integrations

Gensim
Microsoft Word
Claim GPTLocalhost and update features and information
Claim GPTLocalhost and update features and information
Claim word2vec and update features and information
Claim word2vec and update features and information