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Table Of Contents
- Introduction
- An Introduction To LLaMa 2: Meta AI Just Released LLaMa 2
- Summary
- References
- FAQs
Introduction
In this post, we discuss An Introduction To LLaMa 2: Meta AI Just Released LLaMa 2. The new version of LLama.
An Introduction To LLaMa 2: Meta AI Just Released LLaMa 2
LLaMA 2 released! Meta just released LLaMa 2, the new state-of-the-art open-source LLM.
LLaMA 2 is the next iteration of LLaMA and comes with a commercial-friendly license. LLaMA 2 comes in 3 different sizes, 7B, 13B, and 70B.
The 7B & 13B are leveraging the same architecture as LLaMA 1 and are a 1-to-1 replacement for commercial use.
These fine-tuned LLMs, called Llama 2-Chat, are optimized for dialogue use cases. These models outperform open-source chat models on most benchmarks that they tested, and based on their human evaluations for helpfulness and safety, may be a suitable substitute for closed-source models.
They provide a detailed description of their approach to fine-tuning and safety improvements of Llama 2-Chat in order to enable the community to build on their work and contribute to the responsible development of LLMs.
Llama 2 pre-trained models underwent training on 2 trillion tokens and possess double the context length compared to Llama 1.
The fine-tuned models have received training through over 1 million human annotations.
New and improvements to v1:
- Trained on 2T Tokens
- Commercial use allowed
- Chat models for dialogue use cases
- 4096 default context window (it can be increased)
- 7B, 13B & 70B parameter version
- 70B model adopted grouped-query attention (GQA)
- Chat models can use tools & plugins
- LLaMA 2-CHAT as good as OpenAI ChatGPT
HuggingFace Model: https://huggingface.co/models?other=llama-2
Research Paper: https://ai.meta.com/research/publications/llama-2-open-foundation-and-fine-tuned-chat-models/
GitHub URL: https://github.com/facebookresearch/llama/tree/main
Like all LLMs, Llama 2 is a new technology that carries potential risks with use. Testing conducted to date has not — and could not — cover all scenarios.
Summary
Explore the remarkable capabilities of LLaMa 2 and its potential to revolutionize various fields, from research and academia to real-world applications. Don’t miss out on this extraordinary breakthrough in Meta AI.
Also, read,
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References
FAQs
On February 23, 2023, the LLaMA team announced the model’s release through a blog post and a paper that described its training, architecture, and performance. They publicly released the code used to train the model under the open-source GPL 3 license.
In February, the Llama team publicly announced Llama as a small foundational model and made it available to researchers and academics. LLaMa stands for Large Language Model Meta AI.
As an open-source AI model, LLaMA provides businesses, regardless of their size, the opportunity to modify and enhance AI. This accessibility could fuel technological innovation across various sectors, leading to more advanced and sophisticated AI models.
They are publicly releasing LLaMA (Large Language Model Meta AI), a state-of-the-art foundational large language model designed to help researchers advance their work in this subfield of AI
LLaMA is a collection of language models that range from 7B to 65B parameters. The company has said that it trains its models on trillions of tokens claiming that it is possible to train state-of-the-art models using public datasets and not relying on proprietary and inaccessible data sets