Award

Adaptation of Large Language Models (PhD sponsorship)

OFCOM

This public procurement record has 1 release in its history.

Award

06 Sep 2023 at 09:38

Summary of the contracting process

Ofcom has awarded a contract for the 'Adaptation of Large Language Models (PhD sponsorship)' to The University of Sheffield. The procurement process was completed under a direct procurement method, with a value of £46,000 in GBP. The contract period is from 1st September 2023 to 30th September 2027. The tender was for adult and other education services within the services category. The deadline for the tender was 9th May 2023, with the award date on 27th June 2023. The project is aimed at developing techniques for domain transfer in language models based on content moderation systems located in London, SE1 9HA. For more details, you can contact Alex Lindsay at alex.lindsay@ofcom.org.uk or 02079813600.

This contract presents an opportunity for organisations specializing in adult education services and domain transfer technologies to collaborate and grow. Businesses with expertise in speech and language technologies and their applications will find this tender particularly relevant. Given the specific focus on adapting large language models, companies with experience in artificial intelligence, natural language processing, and machine learning are encouraged to engage in this competitive environment. The direct procurement method used for this tender streamlines the bidding process, providing a straightforward path for businesses seeking to expand their presence within the education services sector regulated by Ofcom.

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Notice Title

Adaptation of Large Language Models (PhD sponsorship)

Notice Description

Contribution to the funding of a 4 year PhD project at the UKRI Centre for Doctoral Training (CDT) in Speech and Language Technologies (SLT) and their Applications. The PhD is topic is "Adapting large language models to respond to domain changes in content moderation systems. The aim of this project is to develop new/improved techniques for domain transfer for large language models so that they can be rapidly and efficiently adapted/fine-tuned so that performance is maintained after one or more of these domain changes.

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-8e54fdcb-a6cc-4319-b95b-4b3bfd2cc725
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/4b25dba9-1add-445a-aa9c-5f0bce0ce7ee
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
Award Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Direct
Procurement Method Details
Single tender action (below threshold)
Tender Suitability
Not specified
Awardee Scale
Large

Common Procurement Vocabulary (CPV)

CPV Divisions

80 - Education and training services


CPV Codes

80400000 - Adult and other education services

Notice Value(s)

Tender Value
£46,000 Under £100K
Lots Value
Not specified
Awards Value
£46,000 Under £100K
Contracts Value
Not specified

Notice Dates

Publication Date
6 Sep 20232 years ago
Submission Deadline
8 May 2023Expired
Future Notice Date
Not specified
Award Date
26 Jun 20232 years ago
Contract Period
31 Aug 2023 - 30 Sep 2027 4-5 years
Recurrence
Not specified

Notice Status

Tender Status
Complete
Lots Status
Not Specified
Awards Status
Active
Contracts Status
Not Specified

Contracting Authority (Buyer)

Main Buyer
OFCOM
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
LONDON
Postcode
SE1 9HA
Post Town
South East London
Country
England

Major Region (ITL 1)
TLI London
Basic Region (ITL 2)
TLI4 Inner London - East
Small Region (ITL 3)
TLI44 Lewisham and Southwark
Delivery Location
Not specified

Local Authority
Southwark
Electoral Ward
Borough & Bankside
Westminster Constituency
Bermondsey and Old Southwark

Supplier Information

Number of Suppliers
1
Supplier Name

THE UNIVERSITY OF SHEFFIELD

Further Information

Notice Documents

Open Contracting Data Standard (OCDS)

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The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts.

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