Â鶹´«Ã½

  • By clicking "OK" or continuing to use this site, you agree that we may collect and use your personal data and set cookies to improve your experience and customise advertising. To see how, and to learn how to control cookies, please read our Privacy Policy and Cookie Policy.
OK
Advertisement
Yesterday
Analytics India Magazine14:22 19-Sep-24
In the last 7 days
Baseline20:54 18-Sep-24
InfoQ10:10 17-Sep-24
VentureBeat00:00 17-Sep-24
CTech16:08 16-Sep-24
Behavioural and Social Sciences at Nature Research23:37 15-Sep-24
Analytics India Magazine14:34 15-Sep-24
SiliconANGLE00:17 14-Sep-24
Facebook AI15:59 13-Sep-24
The New Stack13:22 13-Sep-24
In the last month
Analytics India Magazine15:10 12-Sep-24
VentureBeat21:17 11-Sep-24
Facebook AI17:00 11-Sep-24
DevX.com13:40 11-Sep-24
Capacity Media11:18 11-Sep-24
VentureBeat02:37 11-Sep-24
The Register20:35 10-Sep-24
VentureBeat19:09 10-Sep-24
Business Wire (Press Release)13:48 10-Sep-24
VentureBeat17:33 9-Sep-24
Hacker Noon17:51 8-Sep-24
TechCrunch16:09 8-Sep-24
Finance in Bold19:29 7-Sep-24
NewsBytes14:30 6-Sep-24
VentureBeat23:33 5-Sep-24
Business Wire (Press Release)13:08 5-Sep-24
Analytics India Magazine10:36 5-Sep-24
AZoAI04:30 5-Sep-24
AZoAI04:00 5-Sep-24
The Next Platform19:28 3-Sep-24
MediaPost15:53 3-Sep-24
Capacity Media16:39 2-Sep-24
Indian Express06:34 2-Sep-24
Kuwait Times17:04 31-Aug-24
InfoQ14:23 31-Aug-24
Hacker Noon00:07 31-Aug-24
Thurrott17:06 30-Aug-24
Phone Arena16:59 30-Aug-24
ComputerWorld13:04 30-Aug-24
Capacity Media10:08 30-Aug-24
The Economic Times03:15 30-Aug-24
SiliconANGLE01:03 30-Aug-24
Finextra00:03 30-Aug-24
VentureBeat22:57 29-Aug-24
Forbes22:52 29-Aug-24
BetaNews22:25 29-Aug-24
PYMNTS.com20:52 29-Aug-24
TechSpot15:21 29-Aug-24
Yahoo! US15:10 29-Aug-24
Engadget15:07 29-Aug-24
Facebook AI14:59 29-Aug-24
Electronic Specifier10:15 29-Aug-24
Tech Xplore22:06 28-Aug-24
Newswise (Press Release)21:16 28-Aug-24
EETimes Europe13:21 28-Aug-24
Analytics India Magazine06:14 28-Aug-24
Analytics India Magazine06:03 28-Aug-24
PC Magazine21:38 27-Aug-24
Ars Technica21:20 27-Aug-24
VentureBeat18:26 27-Aug-24
Forbes17:03 27-Aug-24
The Register17:01 27-Aug-24
Business Wire (Press Release)17:01 27-Aug-24
Baseline00:46 24-Aug-24
The New Stack18:05 23-Aug-24
AZoAI15:04 23-Aug-24
Forbes08:37 23-Aug-24
The Hindu07:44 23-Aug-24
Finance in Bold11:20 22-Aug-24
Understanding AI22:31 21-Aug-24
Facebook Engineering17:01 21-Aug-24
The New Stack16:15 21-Aug-24
Analytics India Magazine12:49 21-Aug-24
Analytics India Magazine06:54 21-Aug-24
Marketplace21:24 20-Aug-24
view more headlines
19 Sep 14:22

About our Meta's LLaMA News

Latest news on Meta's LLaMA, a family of large language models (LLMs) that are designed to help researchers advance their work in natural language processing (NLP). LLaMA stands for Large Language Model Meta AI, and it is a state-of-the-art foundational large language model that is available for free for research and commercial use.

LLaMA models range from 7 billion to 65 billion parameters, and they are trained on 1.4 trillion tokens of text data. LLaMA models can be fine-tuned for various tasks, such as generating creative text, solving mathematical theorems, predicting protein structures, answering reading comprehension questions, and more.

Meta AI has also released some fine-tuned models based on LLaMA, such as LLaMA Chat and Code LLaMA, which can handle conversational and coding tasks respectively. LLaMA models are more efficient and competitive with other open source language models of similar size on existing benchmarks.


Publication filters

Headline Density

Sorry, no headlines or news topics were found. Please try different keywords.