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Llama

LLaMA, which stands for “Large Language Model Meta AI,” is a series of state-of-the-art open-source large language models developed by Meta. The first version, LLaMA 1, was released in 2023 and came in four variants with parameters ranging from 6.7 billion to 65.2 billion. These models are built upon the transformer architecture, which is foundational to many modern AI applications. LLaMA has gained recognition for its performance and versatility in various tasks, including text generation and language translation 1.

Subsequent versions, such as LLaMA 2 and LLaMA 3, have been introduced, with LLaMA 2 offering improved performance and a wider range of applications. LLaMA 2 includes models with parameters from 7 billion to 70 billion and is designed for both research and commercial use. LLaMA 3 further enhances these capabilities, featuring instruction-tuned versions optimized for conversational tasks 245.

Overall, LLaMA models represent significant advancements in the field of AI, providing powerful tools for developers and researchers alike.

LLaMA explained !

 Towards AI

LLaMA Explained! LLaMA image taken from Umar Jamil YT[1] Llama is one of the leading state of the art open source large language model released by Meta in 2023. As competition intensifies among organ...

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The Evolution of Llama: From Llama 1 to Llama 3.1

 Towards Data Science

A Comprehensive Guide to the Advancements and Innovations in the Family of Llama Models from Meta AI Continue reading on Towards Data Science

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Llama 3: The New Kingpin in Town

 Python in Plain English

Meta’s Llama project has been making waves in the field of Artificial Intelligence, and the recent release of Llama 3 has everyone surprised. But what exactly is Llama 3, and why is it such a big deal...

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LLaMA 2: The Dawn of a New Era

 Better Programming

Key differences from LLaMA 1, safety & violations, Ghost Attention, and model performance. Image generated by Stable Diffusion. Instant Access to Resources and Important Links * Paper * GitHub reposi...

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META LLaMA 2.0: the most disruptive AInimal

 Level Up Coding

Meta announced LLaMA2 , which is not only commercially available but has outstanding performance. In this article, we find out what’s new and why it’s important First as can be seen from the announcem...

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LLaMa 3 is Here. Will It Be The Winning Animal in The Generative AI Zoo.

 Level Up Coding

META has just announced LLaMA 3 and claims that it can beat both Claude 3 and Gemini. All this with a 70B parameter model. But why is LLaMA 3 important? what does it change? what does it mean for the ...

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Llama Dive

 Towards AI

It’s no doubt that generative AI will change every industry. The current state of generative AI, particularly text-to-image generation and text generation is a culmination of years of research. For ex...

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Your Own Personal LLaMa

 Towards Data Science

In my last article , I showed how I could fine-tune OpenAI’s ChatGPT to improve the results of performing tasks like formatting text documents. Although fine-tuning helped the Large Language Model (LL...

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Fine-Tuning Tiny Llama: Choosing the Right Model for Fine-Tuning

 Level Up Coding

Welcome back to the series on fine-tuning Tiny Llama! In our previous chapters, we’ve laid the groundwork for this exciting journey by exploring the fundamentals of fine-tuning, delving into data coll...

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Deep Dive into LlaMA 3 by Hand ✍️

 Towards Data Science

Explore the nuances of the transformer architecture behind Llama 3 and its prospects for the GenAI ecosystem Image by author (The shining LlaMA 3 rendition by my 4-year old.) “In the rugged mountain ...

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Linearizing Llama

 Towards Data Science

Speeding up Llama: A hybrid approach to attention mechanisms Source: Image by Author (Generated using Gemini 1.5 Flash) In this article, we will see how to replace softmax self-attention in Llama-3.2...

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Tiny Llama — a Performance Review and Discussion

 Towards Data Science

Table of contents · Table of contents · Motivation · Implementing the model locally · Testing the model ∘ Fibonacci sequence ∘ RAG ∘ Generating dialog ∘ Coding with TinyLlama · My thoughts on the mode...

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