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Earlier today

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Yesterday

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In the last 7 days

LGBTQ Nation21:48 23-Apr-25

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Echo Live17:08 19-Apr-25

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In the last month

The New Stack14:05 18-Apr-25

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Cointelegraph15:43 17-Apr-25

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Business Insider10:13 17-Apr-25

EDN Europe09:12 17-Apr-25

Wall Street Pit19:12 16-Apr-25

Northwestern Now17:18 15-Apr-25

Complete Music Update16:32 15-Apr-25

The Irish News20:01 14-Apr-25

Michael Tsai18:46 14-Apr-25

TorrentFreak13:23 14-Apr-25

ComputerWeekly09:00 14-Apr-25

Forbes01:00 14-Apr-25

New York Magazine10:11 13-Apr-25

Simply Wall St23:05 12-Apr-25

Neowin.net11:48 12-Apr-25

Yahoo! US01:23 12-Apr-25

InfoRiskToday19:48 11-Apr-25

Mint10:53 11-Apr-25

Simply Wall St22:04 10-Apr-25

404 Media14:47 10-Apr-25

BBC00:07 10-Apr-25

Business Wire (Press Release)20:47 9-Apr-25

Mind Matters19:37 9-Apr-25

Petri17:20 9-Apr-25

ZDNet16:26 9-Apr-25

SearchSecurity.com - Information Security Magazine14:48 9-Apr-25

PYMNTS.com14:02 9-Apr-25

DevX.com13:45 9-Apr-25

ComputerWorld13:43 9-Apr-25

The Hindu10:13 9-Apr-25

ITProPortal09:56 9-Apr-25

The Hindu Business Line03:07 9-Apr-25

SiliconANGLE00:10 9-Apr-25

VentureBeat23:06 8-Apr-25

The Register21:04 8-Apr-25

Forbes21:01 8-Apr-25

Deccan Herald18:06 8-Apr-25

WebProNews18:06 8-Apr-25

GovInfoSecurity17:14 8-Apr-25

Morningstar16:25 8-Apr-25

VentureBeat16:09 8-Apr-25

Analytics India Magazine16:04 8-Apr-25

Sojourners15:05 8-Apr-25

Capacity Media13:52 8-Apr-25

ComputerWorld11:25 8-Apr-25

euronews09:50 8-Apr-25

Analytics India Magazine08:48 8-Apr-25

PR Newswire (Press Release)08:01 8-Apr-25

Android Central07:21 8-Apr-25

Neowin.net06:49 8-Apr-25

Capacity Media05:04 8-Apr-25

Platformer02:52 8-Apr-25

The Verge02:39 8-Apr-25

VentureBeat01:13 8-Apr-25

PYMNTS.com21:28 7-Apr-25

CNET21:24 7-Apr-25

Ars Technica21:06 7-Apr-25

TechRepublic19:09 7-Apr-25

InfoQ19:06 7-Apr-25

Morningstar17:22 7-Apr-25

IBTimes (US)16:31 7-Apr-25

ExtremeTech16:23 7-Apr-25

The Business Standard15:47 7-Apr-25

Proactive Investors (US)15:29 7-Apr-25

gHacks15:24 7-Apr-25

Sunday Business Post14:42 7-Apr-25

ITProtoday.com14:14 7-Apr-25

CyberNews14:11 7-Apr-25

Tasnim News Agency13:50 7-Apr-25

Radio Free Mobile13:35 7-Apr-25

Silicon Republic13:23 7-Apr-25

Tom's Guide12:55 7-Apr-25

TechRadar12:34 7-Apr-25

Business Insider11:15 7-Apr-25

WIRED11:07 7-Apr-25

Mobile World Live10:30 7-Apr-25

Analytics India Magazine10:15 7-Apr-25

Benzinga09:42 7-Apr-25

Tempo08:57 7-Apr-25

The Economic Times08:30 7-Apr-25

The Register07:37 7-Apr-25

The Economic Times07:09 7-Apr-25

The Business Standard07:07 7-Apr-25

Neowin.net03:52 7-Apr-25

Social Media Today02:41 7-Apr-25

SiliconANGLE02:11 7-Apr-25

TipRanks01:23 7-Apr-25

PYMNTS.com20:53 6-Apr-25

Inc Magazine17:46 6-Apr-25

The News International16:27 6-Apr-25

TechTalks16:21 6-Apr-25

Hindustan Times12:52 6-Apr-25

Mint11:14 6-Apr-25

Cryptopolitan10:20 6-Apr-25

Mint09:12 6-Apr-25

Digital Trends07:58 6-Apr-25

Indian Express07:01 6-Apr-25

Mint06:40 6-Apr-25

The Economic Times05:14 6-Apr-25

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26 Apr 00:08

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.

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