LexVec

LexVec

Alexandre Salle
+
+

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About

Apply advanced coding and language models to a variety of use cases. Leverage large-scale, generative AI models with deep understandings of language and code to enable new reasoning and comprehension capabilities for building cutting-edge applications. Apply these coding and language models to a variety of use cases, such as writing assistance, code generation, and reasoning over data. Detect and mitigate harmful use with built-in responsible AI and access enterprise-grade Azure security. Gain access to generative models that have been pretrained with trillions of words. Apply them to new scenarios including language, code, reasoning, inferencing, and comprehension. Customize generative models with labeled data for your specific scenario using a simple REST API. Fine-tune your model's hyperparameters to increase accuracy of outputs. Use the few-shot learning capability to provide the API with examples and achieve more relevant results.

About

LexVec is a word embedding model that achieves state-of-the-art results in multiple natural language processing tasks by factorizing the Positive Pointwise Mutual Information (PPMI) matrix using stochastic gradient descent. This approach assigns heavier penalties for errors on frequent co-occurrences while accounting for negative co-occurrences. Pre-trained vectors are available, including a common crawl dataset with 58 billion tokens and 2 million words in 300 dimensions, and an English Wikipedia 2015 + NewsCrawl dataset with 7 billion tokens and 368,999 words in 300 dimensions. Evaluations demonstrate that LexVec matches or outperforms other models like word2vec in terms of word similarity and analogy tasks. The implementation is open source under the MIT License and is available on GitHub.

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

Organizations that want to power their apps with large-scale AI models

Audience

Computational linguists and NLP researchers searching for a tool to improve their semantic analysis and language modeling

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

Pricing

$0.0004 per 1000 tokens
Pricing is based on a pay-as-you-go consumption model with a price per unit for each model.
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

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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

Microsoft
Founded: 1975
United States
azure.microsoft.com/en-us/products/cognitive-services/openai-service

Company Information

Alexandre Salle
Brazil
github.com/alexandres/lexvec

Alternatives

Alternatives

GloVe

GloVe

Stanford NLP
Cohere

Cohere

Cohere AI
word2vec

word2vec

Google

Categories

Categories

Integrations

16x Prompt
Activepieces
Aim
CodeNext
ConfidentialMind
Cranium
CrowdWorx Innovation Engine
Doable.sh
Fleece AI
GPT-3
GPT-5.1 Instant
GPT-5.5
GPT-5.6 Sol
Ivo
Kore.ai
Mazaal AI
OpenAI
TeamDesk
Tune AI
XLeap

Integrations

16x Prompt
Activepieces
Aim
CodeNext
ConfidentialMind
Cranium
CrowdWorx Innovation Engine
Doable.sh
Fleece AI
GPT-3
GPT-5.1 Instant
GPT-5.5
GPT-5.6 Sol
Ivo
Kore.ai
Mazaal AI
OpenAI
TeamDesk
Tune AI
XLeap
Claim Azure OpenAI Service and update features and information
Claim Azure OpenAI Service and update features and information
Claim LexVec and update features and information
Claim LexVec and update features and information