Energy Large Language Model (ELLM) Project
Sector: Oil and Gas • Location: Houston, Texas, United States
Source: Society of Petroleum Engineers (SPE)
The ELLM project, developed by Aramco Americas, SPE, and i2k Connect, aims to democratize energy knowledge by leveraging generative AI and large language modeling. It has entered the testing phase and is on track for licensing to operators later this year, enhancing accessibility to industry insights and accelerating decision-making processes.
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | Testing |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The ELLM project, developed by Aramco Americas, SPE, and i2k Connect, aims to democratize energy knowledge by leveraging generative AI and large language modeling. It has entered the testing phase and is on track for licensing to operators later this year, enhancing accessibility to industry insights and accelerating decision-making processes. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
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Article Published Date | Obfuscated Data |