<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Meta on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/meta/</link><description>Recent content in Meta on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/meta/index.xml" rel="self" type="application/rss+xml"/><item><title>Llama 2</title><link>https://terms-en.ai-term-hub.com/en/terms/llama_2/</link><pubDate>Sat, 18 Jul 2026 10:05:29 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/llama_2/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Released by Meta AI in July 2023, Llama 2 represents a significant evolution in open-weight large language models. It offers pre-trained and fine-tuned variants ranging from 7 billion to 70 billion parameters. Key improvements include a doubled context window of 4096 tokens, optimized transformer architecture for efficiency, and enhanced safety measures through extensive human feedback. It marked a pivotal moment by making high-performance models accessible to researchers and developers globally, fostering innovation in the open-source AI community.&lt;/p></description></item><item><title>Llama 3</title><link>https://terms-en.ai-term-hub.com/en/terms/llama_3/</link><pubDate>Sat, 18 Jul 2026 10:05:29 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/llama_3/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Introduced in April 2024, Llama 3 builds upon the success of Llama 2 with substantial enhancements in performance and capability. The model family includes 8 billion and 70 billion parameter versions, trained on a massive 15 trillion token dataset. It features a larger context window of 8,192 tokens, improved instruction following, and superior performance in coding and mathematical reasoning benchmarks. Llama 3 also introduces advanced safety filters and supports multiple languages, solidifying its position as a leading open-weight model for enterprise and research applications.&lt;/p></description></item><item><title>Llama3.1</title><link>https://terms-en.ai-term-hub.com/en/terms/llama31/</link><pubDate>Sat, 18 Jul 2026 10:05:29 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/llama31/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Released in August 2024, Llama 3.1 expands the Llama family to include a massive 405 billion parameter model alongside smaller 8B and 70B variants. A standout feature is the extended context window of 128,000 tokens, enabling the processing of vast documents. It introduces native function calling and tool-use capabilities, allowing seamless integration with external APIs and software. The model demonstrates state-of-the-art performance in reasoning, coding, and multilingual tasks, setting new standards for open-weight large language models.&lt;/p></description></item><item><title>Llama</title><link>https://terms-en.ai-term-hub.com/en/terms/llama/</link><pubDate>Sat, 18 Jul 2026 10:05:14 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/llama/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Llama (Large Language Model Meta AI) is a series of foundational large language models released by Meta. Unlike many proprietary models, Llama models are often released with open weights, allowing researchers and developers to fine-tune them for specific applications. The series has evolved significantly, with newer versions offering improved reasoning, coding capabilities, and multilingual support. Llama has become a cornerstone of the open-source AI ecosystem, enabling widespread experimentation and deployment of generative AI technologies across various industries.&lt;/p></description></item></channel></rss>