Row 65771
Content Data
This page contains data entry 65771 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
By Will Knight
When ChatGPT was released in November 2023, it could only be accessed through the cloud because the model behind it was downright enormous.
Today I am running a similarly capable AI program on a Macbook Air, and it isn’t even warm. The shrinkage shows [how rapidly researchers are refining AI models](https://www.wired.com/story/dbrx-inside-the-creation-of-the-worlds-most-powerful-open-source-ai-model/) to make them leaner and more efficient. It also shows how going to ever larger scales isn’t the only way to make machines significantly smarter.
Research at Microsoft shows it’s possible to make AI models small enough to run on phones or laptops without major compromises to their smarts. The technique could open up new use cases for AI.
Read the full story: [https://www.wired.com/story/pocket-sized-ai-models-unlock-new-era-of-computing/](https://www.wired.com/story/pocket-sized-ai-models-unlock-new-era-of-computing/)
| Field | Value |
|---|---|
| text | By Will Knight When ChatGPT was released in November 2023, it could only be accessed through the cloud because the model behind it was downright enormous. Today I am running a similarly capable AI program on a Macbook Air, and it isn’t even warm. The shrinkage shows [how rapidly researchers are refining AI models](https://www.wired.com/story/dbrx-inside-the-creation-of-the-worlds-most-powerful-open-source-ai-model/) to make them leaner and more efficient. It also shows how going to ever larger… |
| label | r/artificial |
| dataType | comment |
| communityName | r/artificial |
| datetime | 2024-05-23 |
| username_encoded | Z0FBQUFBQm5Lak1jTlc1OEV4aEdYUVBUak1zM3g5ZFJFMWZ6ODhXZ09CYm5MZ0plelE3WVNBZEZuakJrRUVER3YySENyd09qd21KN1Q2bVJSV2FhLV9ncVFTTklXa0dvaGc9PQ== |
| url_encoded | Z0FBQUFBQm5Lak9zSjBuLTljR21oVEJMRUdvRHN0NEkxNVhrTVBYSmxOa1p3QlMySlhlTGRrM0RLRzM4UzhWcnpxdlRaWm5GcktBLTRTeVVZRGh3WU1FdThzN0hmcXhYdnRyc0tjTGU5OXJqZjY2RkxSVS1ScmFfVk9iM0UteDNPV3JNZHZlcEh6NDNfVDAyc1lxVGliV2Rfd29kT1p0SEZXSGx3UlZVX1RoMERQYTVFVmNubWdMQ3BybmNwNG8zUTlmMTFUZGlhVkZCZlV2MFpjcW5NTzlhWEI2NnVyS2p4Zz09 |
Raw Record
{
"text": "By Will Knight\n\nWhen ChatGPT was released in November 2023, it could only be accessed through the cloud because the model behind it was downright enormous.\n\nToday I am running a similarly capable AI program on a Macbook Air, and it isn’t even warm. The shrinkage shows [how rapidly researchers are refining AI models](https://www.wired.com/story/dbrx-inside-the-creation-of-the-worlds-most-powerful-open-source-ai-model/) to make them leaner and more efficient. It also shows how going to ever larger scales isn’t the only way to make machines significantly smarter.\n\nResearch at Microsoft shows it’s possible to make AI models small enough to run on phones or laptops without major compromises to their smarts. The technique could open up new use cases for AI.\n\nRead the full story: [https://www.wired.com/story/pocket-sized-ai-models-unlock-new-era-of-computing/](https://www.wired.com/story/pocket-sized-ai-models-unlock-new-era-of-computing/)",
"label": "r/artificial",
"dataType": "comment",
"communityName": "r/artificial",
"datetime": "2024-05-23",
"username_encoded": "Z0FBQUFBQm5Lak1jTlc1OEV4aEdYUVBUak1zM3g5ZFJFMWZ6ODhXZ09CYm5MZ0plelE3WVNBZEZuakJrRUVER3YySENyd09qd21KN1Q2bVJSV2FhLV9ncVFTTklXa0dvaGc9PQ==",
"url_encoded": "Z0FBQUFBQm5Lak9zSjBuLTljR21oVEJMRUdvRHN0NEkxNVhrTVBYSmxOa1p3QlMySlhlTGRrM0RLRzM4UzhWcnpxdlRaWm5GcktBLTRTeVVZRGh3WU1FdThzN0hmcXhYdnRyc0tjTGU5OXJqZjY2RkxSVS1ScmFfVk9iM0UteDNPV3JNZHZlcEh6NDNfVDAyc1lxVGliV2Rfd29kT1p0SEZXSGx3UlZVX1RoMERQYTVFVmNubWdMQ3BybmNwNG8zUTlmMTFUZGlhVkZCZlV2MFpjcW5NTzlhWEI2NnVyS2p4Zz09"
}
Entry Information
- Entry ID: 65771
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000