RESPONDING TO TASK PROMPT ON DECLARATIVE CODE USING LANGUAGE MODEL

The generation of a response to a task prompt that represents a task to perform on declarative code. The response is generated with the aid of a language model that was trained on imperative code. The declarative code includes declarations about data. A task prompt represents a task to perform on th...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: SARKAR, Advait, SLININGER, Brian Paul, GORDON, Andrew Donald, NEGREANU, Carina Suzana, TORONTO, Neil Blunt, ZORN, Benjamin Goth, RAGAVAN, Sruti Srinivasa
Format: Patent
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator SARKAR, Advait
SLININGER, Brian Paul
GORDON, Andrew Donald
NEGREANU, Carina Suzana
TORONTO, Neil Blunt
ZORN, Benjamin Goth
RAGAVAN, Sruti Srinivasa
description The generation of a response to a task prompt that represents a task to perform on declarative code. The response is generated with the aid of a language model that was trained on imperative code. The declarative code includes declarations about data. A task prompt represents a task to perform on the declarative code. At least a portion of the declarative code and at least a portion of the task prompt are converted into input imperative code. The input imperative code is then caused to be provided as input to the language model, resulting in the language model generating output imperative code. At least a portion of the output imperative code is then converted into a response to the task prompt.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2023418815A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2023418815A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2023418815A13</originalsourceid><addsrcrecordid>eNrjZHAKcg0O8Pdz8fRzVwjxVwhxDPZWCAjy9w0IUfD3U3BxdfZxDHIM8QxzVXD2d3FVCA0GKfRx9HMPdXR3VfAFivnwMLCmJeYUp_JCaW4GZTfXEGcP3dSC_PjU4oLE5NS81JL40GAjAyNjE0MLC0NTR0Nj4lQBAKWxLAk</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>RESPONDING TO TASK PROMPT ON DECLARATIVE CODE USING LANGUAGE MODEL</title><source>esp@cenet</source><creator>SARKAR, Advait ; SLININGER, Brian Paul ; GORDON, Andrew Donald ; NEGREANU, Carina Suzana ; TORONTO, Neil Blunt ; ZORN, Benjamin Goth ; RAGAVAN, Sruti Srinivasa</creator><creatorcontrib>SARKAR, Advait ; SLININGER, Brian Paul ; GORDON, Andrew Donald ; NEGREANU, Carina Suzana ; TORONTO, Neil Blunt ; ZORN, Benjamin Goth ; RAGAVAN, Sruti Srinivasa</creatorcontrib><description>The generation of a response to a task prompt that represents a task to perform on declarative code. The response is generated with the aid of a language model that was trained on imperative code. The declarative code includes declarations about data. A task prompt represents a task to perform on the declarative code. At least a portion of the declarative code and at least a portion of the task prompt are converted into input imperative code. The input imperative code is then caused to be provided as input to the language model, resulting in the language model generating output imperative code. At least a portion of the output imperative code is then converted into a response to the task prompt.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20231228&amp;DB=EPODOC&amp;CC=US&amp;NR=2023418815A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20231228&amp;DB=EPODOC&amp;CC=US&amp;NR=2023418815A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>SARKAR, Advait</creatorcontrib><creatorcontrib>SLININGER, Brian Paul</creatorcontrib><creatorcontrib>GORDON, Andrew Donald</creatorcontrib><creatorcontrib>NEGREANU, Carina Suzana</creatorcontrib><creatorcontrib>TORONTO, Neil Blunt</creatorcontrib><creatorcontrib>ZORN, Benjamin Goth</creatorcontrib><creatorcontrib>RAGAVAN, Sruti Srinivasa</creatorcontrib><title>RESPONDING TO TASK PROMPT ON DECLARATIVE CODE USING LANGUAGE MODEL</title><description>The generation of a response to a task prompt that represents a task to perform on declarative code. The response is generated with the aid of a language model that was trained on imperative code. The declarative code includes declarations about data. A task prompt represents a task to perform on the declarative code. At least a portion of the declarative code and at least a portion of the task prompt are converted into input imperative code. The input imperative code is then caused to be provided as input to the language model, resulting in the language model generating output imperative code. At least a portion of the output imperative code is then converted into a response to the task prompt.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHAKcg0O8Pdz8fRzVwjxVwhxDPZWCAjy9w0IUfD3U3BxdfZxDHIM8QxzVXD2d3FVCA0GKfRx9HMPdXR3VfAFivnwMLCmJeYUp_JCaW4GZTfXEGcP3dSC_PjU4oLE5NS81JL40GAjAyNjE0MLC0NTR0Nj4lQBAKWxLAk</recordid><startdate>20231228</startdate><enddate>20231228</enddate><creator>SARKAR, Advait</creator><creator>SLININGER, Brian Paul</creator><creator>GORDON, Andrew Donald</creator><creator>NEGREANU, Carina Suzana</creator><creator>TORONTO, Neil Blunt</creator><creator>ZORN, Benjamin Goth</creator><creator>RAGAVAN, Sruti Srinivasa</creator><scope>EVB</scope></search><sort><creationdate>20231228</creationdate><title>RESPONDING TO TASK PROMPT ON DECLARATIVE CODE USING LANGUAGE MODEL</title><author>SARKAR, Advait ; SLININGER, Brian Paul ; GORDON, Andrew Donald ; NEGREANU, Carina Suzana ; TORONTO, Neil Blunt ; ZORN, Benjamin Goth ; RAGAVAN, Sruti Srinivasa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2023418815A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>SARKAR, Advait</creatorcontrib><creatorcontrib>SLININGER, Brian Paul</creatorcontrib><creatorcontrib>GORDON, Andrew Donald</creatorcontrib><creatorcontrib>NEGREANU, Carina Suzana</creatorcontrib><creatorcontrib>TORONTO, Neil Blunt</creatorcontrib><creatorcontrib>ZORN, Benjamin Goth</creatorcontrib><creatorcontrib>RAGAVAN, Sruti Srinivasa</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>SARKAR, Advait</au><au>SLININGER, Brian Paul</au><au>GORDON, Andrew Donald</au><au>NEGREANU, Carina Suzana</au><au>TORONTO, Neil Blunt</au><au>ZORN, Benjamin Goth</au><au>RAGAVAN, Sruti Srinivasa</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>RESPONDING TO TASK PROMPT ON DECLARATIVE CODE USING LANGUAGE MODEL</title><date>2023-12-28</date><risdate>2023</risdate><abstract>The generation of a response to a task prompt that represents a task to perform on declarative code. The response is generated with the aid of a language model that was trained on imperative code. The declarative code includes declarations about data. A task prompt represents a task to perform on the declarative code. At least a portion of the declarative code and at least a portion of the task prompt are converted into input imperative code. The input imperative code is then caused to be provided as input to the language model, resulting in the language model generating output imperative code. At least a portion of the output imperative code is then converted into a response to the task prompt.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng
recordid cdi_epo_espacenet_US2023418815A1
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title RESPONDING TO TASK PROMPT ON DECLARATIVE CODE USING LANGUAGE MODEL
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T05%3A58%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=SARKAR,%20Advait&rft.date=2023-12-28&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS2023418815A1%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true