Llama 3

Why is it in the news?

  • Meta introduced its latest Large Language Model (LLM) called Llama 3.

More about the news

  • Llama 3 is part of the Llama family of LLMs developed by Meta AI, introduced in 2023.
  • It is the most capable iteration of the Llama series.
  • Llama 3 comes in two sizes: 8B and 70B parameters, indicating the model’s size and complexity.
  • Parameters in AI models measure their size and complexity, with larger numbers indicating more powerful and complex models.
  • Llama 3 includes an image generator feature, which updates pictures in real-time as the user types out prompts.
Large Language Models (LLMs)

路聽聽聽聽聽聽 Large Language Models (LLMs) are artificial intelligence (AI) algorithms designed to comprehend, summarize, generate, and predict content using deep learning techniques.

路聽聽聽聽聽聽 These models leverage massively large datasets to train and improve their understanding of language patterns and structures.

路聽聽聽聽聽聽 Deep learning involves the probabilistic analysis of unstructured data, enabling LLMs to recognize distinctions between different pieces of content autonomously.

路聽聽聽聽聽聽 LLMs are proficient in understanding the relationships between characters, words, and sentences, enabling them to generate coherent and contextually relevant content.

路聽聽聽聽聽聽 By analyzing vast amounts of text data, LLMs can learn and replicate the nuances of human language, including syntax, semantics, and pragmatics.

路聽聽聽聽聽聽 These models have applications in various fields such as natural language processing, machine translation, text summarization, and conversational agents.

路聽聽聽聽聽聽 LLMs are continually evolving with advancements in AI research and the availability of more extensive and diverse datasets, leading to improvements in their performance and capabilities over time.


Get free UPSC Updates straight to your inbox!

Get Updates on New Notification about APPSC, TSPSC and UPSC

Get Current Affairs Updates Directly into your Inbox

Discover more from AMIGOS IAS

Subscribe now to keep reading and get access to the full archive.

Continue reading