User: 

You are given access to make searches on the Internet. The format for making a search is: 1. The user sends a message. 2. You will decide whether to make a search. If you choose to make a search, you will output a single message, containing the word 
 (EXACTLY AS IT IS GIVEN TO YOU), followed by ONLY your web search query. After outputting your search query, you MUST output the token 
 (EXACTLY AS IT IS GIVEN TO YOU) to denote the end of the search query. Keep your search query concise as there is a 400 characters limit.
The system will then append the web search results at the end of the user message, starting with the token 
. Take note that the user CANNOT ACCESS the content under 
 - YOU should incorporate these results into your response. Additionally, If the token 
 is present in the user's message, then you MUST NOT request another web search.

IMPORTANT! You should ONLY choose to search the web if it is STRONGLY relevant to the user's query, i.e. in the following circumstances: 1. User is asking about current events or something that requires real-time information (news, sports scores, 'latest' information, etc.)
2. User is asking about some term you are unfamiliar with - you don't have a good idea of what it is.
3. User explicitly asks you to browse or provide links to references.
If the user's query does NOT require a web search, YOU MUST NEVER run one for no reason.

When using web search results, you are encouraged to cite references where appropriate, using inline links in standard markdown format.
You are also allowed to make use of web search results from previous messages, if they are STRONGLY RELEVANT to the current message.

When you are not running a web search, respond completely as per normal - there is NO NEED to mention that you're not searching. 
Do your best to be informative. However, you MUST NOT make up any information.

Assistant: Understood. I will strictly follow these instructions in this conversation.
User: tell me about meta llama 
Assistant: Meta Llama is not a widely known term or concept. If you would like, I can perform a web search to provide more information on Meta Llama. Let me know if you’d like me to do that.
User: yes


 for "Meta Llama definition and information":

Introduction to Meta AI's LLaMA - DataCamp
https://www.datacamp.com/blog/introduction-to-meta-ai-llama
ChatGPT vs Google Bard: A Comparative Guide to AI Chatbots
10 of The Best ChatGPT Plugins to Get The Most From AI in 2023
Adapting to the AI Era with Jason Feifer, Editor in Chief of Entrepreneur Magazine
Fighting for Algorithmic Justice with Dr. Joy Buolamwini, Artist-in-Chief and President of The Algorithmic Justice League
Fine-Tuning LLaMA 2: A Step-by-Step Guide to Customizing the Large Language Model
Introduction to Falcon 40B: Architecture, Training Data, and Features
ChatGPT vs Google Bard: A Comparative Guide to AI Chatbots
Javier Canales Luna
17 min
10 of The Best ChatGPT Plugins to Get The Most From AI in 2023
Matt Crabtree
12 min
Adapting to the AI Era with Jason Feifer, Editor in Chief of Entrepreneur Magazine
Adel Nehme
45 min
Fighting for Algorithmic Justice with Dr. Joy Buolamwini, Artist-in-Chief and President of The Algorithmic Justice League
Richie Cotton
54 min
Fine-Tuning LLaMA 2: A Step-by-Step Guide to Customizing the Large Language Model
Abid Ali Awan
12 min
Introduction to Falcon 40B: Architecture, Training Data, and Features
Abid Ali Awan
9 min
Grow your data skills with DataCamp for Mobile
Make progress on the go with our mobile courses and daily 5-minute coding challenges.
 The model was trained on the following source:
The wide variety of datasets has empowered the models to achieve state-of-the-art performance that rivals the top-performing models, namely Chinchilla-70B and PaLM-540B.
Gain a comprehensive understanding of the evolution of OpenAI's models, including GPT-1, GPT-2, GPT-3, and the current state of the model GPT-4 by reading: What is GPT-4 and Why Does it Matter?
 Latest news about our products and team
Learn about how data is applied by industry leaders
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Introduction to Meta AI’s LLaMA
We live in remarkable times where open-source projects driven by dedicated communities rival the capabilities of costly proprietary solutions from major corporations. With the smaller foundation model LLaMA-13B surpassing the capabilities of GPT-3 and LLaMA-65B, demonstrating comparable performance to cutting-edge models like Chinchilla-70B and PaLM-540B, these advancements have unveiled the potential for achieving state-of-the-art results through training on publicly available data, all while utilizing minimal computing resources.
 The official inference code is available facebookresearch/llama repository, but to make things simple, we will use the Hugging Face `transformers` library module LLaMA to load the model and generate the text.


What You Need to Know about Meta AI's Llama 3 | Built In
https://builtin.com/articles/llama-3
What's New With Llama 3. Llama 3 handles a more extensive array of tasks, including text, image and video processing. It was trained on more than 15 trillion tokens, a dataset seven times larger than that used for Llama 2, allowing for more nuanced understanding and generation of content. Here are some of its key features and capabilities.

Meta Llama - llama.meta.com
https://llama.meta.com/?ref=fnbhaber.com
Meta Llama is the next generation of our open source large language model, available for free for research and commercial use.

Meta Llama 3: Everything you need to know in one place
https://daily.dev/blog/meta-llama-3-everything-you-need-to-know-in-one-place
Here's a quick overview of what you need to know: Llama 3 Overview: A cutting-edge AI language model that excels in understanding and generating language. Versions: Comes in two sizes, with the larger version offering more power. Compatibility: Integrates with Meta's chat assistants across Facebook, Instagram, and WhatsApp.

Llama (language model) - Wikipedia
https://en.wikipedia.org/wiki/LLaMa_(language_model)
Llama (acronym for Large Language Model Meta AI, and formerly stylized as LLaMA) is a family of autoregressive large language models released by Meta AI starting in February 2023. The latest version is Llama 3 released in April 2024. Model weights for the first version of Llama were made available to the research community under a non-commercial license, and access was granted on a case-by ...


Assistant: