word2vec

word2vec

Google
+
+

Related Products

  • Vertex AI
    827 Ratings
    Visit Website
  • Google AI Studio
    11 Ratings
    Visit Website
  • Canva
    19,990,620 Ratings
    Visit Website
  • Google Cloud Speech-to-Text
    374 Ratings
    Visit Website
  • LM-Kit.NET
    24 Ratings
    Visit Website
  • LTX
    141 Ratings
    Visit Website
  • Expedience Software
    31 Ratings
    Visit Website
  • RunPod
    205 Ratings
    Visit Website
  • BetterPic
    1,054 Ratings
    Visit Website
  • Enterprise Bot
    23 Ratings
    Visit Website

About

Empower businesses and developers to create cutting-edge neural search, generative AI, and multimodal services using state-of-the-art LMOps, MLOps and cloud-native technologies. Multimodal data is everywhere: from simple tweets to photos on Instagram, short videos on TikTok, audio snippets, Zoom meeting records, PDFs with figures, 3D meshes in games. It is rich and powerful, but that power often hides behind different modalities and incompatible data formats. To enable high-level AI applications, one needs to solve search and create first. Neural Search uses AI to find what you need. A description of a sunrise can match a picture, or a photo of a rose can match a song. Generative AI/Creative AI uses AI to make what you need. It can create an image from a description, or write poems from a picture.

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

Businesses in need of an open-source software for building multimodal applications on the cloud

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

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 3.0 / 5
ease 3.0 / 5
features 3.0 / 5
design 3.0 / 5
support 3.0 / 5

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

Jina AI
Founded: 2020
Germany
jina.ai/

Company Information

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

Alternatives

Alternatives

Cohere

Cohere

Cohere AI
Gensim

Gensim

Radim Řehůřek
GloVe

GloVe

Stanford NLP
LexVec

LexVec

Alexandre Salle

Categories

Categories

Integrations

Azure Marketplace
Gensim
Jina Search
LiteLLM
Pinecone Rerank v0
Sim Studio

Integrations

Azure Marketplace
Gensim
Jina Search
LiteLLM
Pinecone Rerank v0
Sim Studio
Claim Jina AI and update features and information
Claim Jina AI and update features and information
Claim word2vec and update features and information
Claim word2vec and update features and information