Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 1 Rating

Total
ease
features
design
support

Alternatives to Consider

  • Vertex AI Reviews & Ratings
    743 Ratings
    Company Website
  • RaimaDB Reviews & Ratings
    9 Ratings
    Company Website
  • Qloo Reviews & Ratings
    23 Ratings
    Company Website
  • CREDITONLINE Reviews & Ratings
    16 Ratings
    Company Website
  • CompAccelerator Reviews & Ratings
    29 Ratings
    Company Website
  • Advantage Reviews & Ratings
    37 Ratings
    Company Website
  • Square Payments Reviews & Ratings
    9,703 Ratings
    Company Website
  • FrameworkLTC Reviews & Ratings
    46 Ratings
    Company Website
  • Dragonfly Reviews & Ratings
    16 Ratings
    Company Website
  • Nexo Reviews & Ratings
    16,412 Ratings
    Company Website

What is TILDE?

TILDE (Term Independent Likelihood moDEl) functions as a framework designed for the re-ranking and expansion of passages, leveraging BERT to enhance retrieval performance by combining sparse term matching with sophisticated contextual representations. The original TILDE version computes term weights across the entire BERT vocabulary, which often leads to extremely large index sizes. To address this limitation, TILDEv2 introduces a more efficient approach by calculating term weights exclusively for words present in the expanded passages, resulting in indexes that can be 99% smaller than those produced by the initial TILDE model. This improved efficiency is achieved by deploying TILDE as a passage expansion model, which enriches passages with top-k terms (for instance, the top 200) to improve their content quality. Furthermore, it provides scripts that streamline the processes of indexing collections, re-ranking BM25 results, and training models using datasets such as MS MARCO, thus offering a well-rounded toolkit for enhancing information retrieval tasks. In essence, TILDEv2 signifies a major leap forward in the management and optimization of passage retrieval systems, contributing to more effective and efficient information access strategies. This progression not only benefits researchers but also has implications for practical applications in various domains.

What is BERT?

BERT stands out as a crucial language model that employs a method for pre-training language representations. This initial pre-training stage encompasses extensive exposure to large text corpora, such as Wikipedia and other diverse sources. Once this foundational training is complete, the knowledge acquired can be applied to a wide array of Natural Language Processing (NLP) tasks, including question answering, sentiment analysis, and more. Utilizing BERT in conjunction with AI Platform Training enables the development of various NLP models in a highly efficient manner, often taking as little as thirty minutes. This efficiency and versatility render BERT an invaluable resource for swiftly responding to a multitude of language processing needs. Its adaptability allows developers to explore new NLP solutions in a fraction of the time traditionally required.

Media

Media

Integrations Supported

AWS Marketplace
Alpaca
Amazon SageMaker Model Training
Gopher
Haystack
Hugging Face
PostgresML
Python
Spark NLP

Integrations Supported

AWS Marketplace
Alpaca
Amazon SageMaker Model Training
Gopher
Haystack
Hugging Face
PostgresML
Python
Spark NLP

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

ielab

Company Location

United States

Company Website

github.com/ielab/TILDE/tree/main

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/ai-platform/training/docs/algorithms/bert-start

Categories and Features

Categories and Features

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Popular Alternatives

ColBERT Reviews & Ratings

ColBERT

Future Data Systems

Popular Alternatives

ALBERT Reviews & Ratings

ALBERT

Google
BLOOM Reviews & Ratings

BLOOM

BigScience
Chinchilla Reviews & Ratings

Chinchilla

Google DeepMind