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, or if it's a little-known term.
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. If you think you might not know something, search for it.

Assistant: Understood. I will strictly follow these instructions in this conversation.
User: tell me about meta llama 3
Assistant: Meta llama 3 is not a term that I am familiar with. Would you like me to conduct a web search to find more information on Meta llama 3?
User: yes


 for "Meta llama 3 information":

Title: What You Need to Know about Meta AI's Llama 3 | Built In
URL: https://builtin.com/articles/llama-3
Enhanced Capabilities and Performance. Using a decoder-only transformer architecture, Llama 3 incorporates a tokenizer capable of handling 128,256 tokens and employs grouped query attention, which optimizes processing efficiency across different tasks. The model benefits from pretraining on more than 15 trillion tokens, seven times the dataset ...

Title: GitHub - meta-llama/llama3: The official Meta Llama 3 GitHub site
URL: https://github.com/meta-llama/llama3
Meta Llama 3. We are unlocking the power of large language models. Our latest version of Llama is now accessible to individuals, creators, researchers, and businesses of all sizes so that they can experiment, innovate, and scale their ideas responsibly. This release includes model weights and starting code for pre-trained and instruction-tuned ...

Title: Introducing Meta Llama 3: The most capable openly available LLM to date
URL: https://ai.meta.com/blog/meta-llama-3/
Today, we're introducing Meta Llama 3, the next generation of our state-of-the-art open source large language model. Llama 3 models will soon be available on AWS, Databricks, Google Cloud, Hugging Face, Kaggle, IBM WatsonX, Microsoft Azure, NVIDIA NIM, and Snowflake, and with support from hardware platforms offered by AMD, AWS, Dell, Intel, NVIDIA, and Qualcomm.

Title: Meet Your New Assistant: Meta AI, Built With Llama 3 | Meta
URL: https://about.fb.com/news/2024/04/meta-ai-assistant-built-with-llama-3/
A better assistant: Thanks to our latest advances with Meta Llama 3, we believe Meta AI is now the most intelligent AI assistant you can use for free - and it's available in more countries across our apps to help you plan dinner based on what's in your fridge, study for your test and so much more.; More info: You can use Meta AI in feed, chats, search and more across our apps to get ...

Title: Welcome Llama 3 - Meta's new open LLM - Hugging Face
URL: https://huggingface.co/blog/llama3
The Llama 3 release introduces 4 new open LLM models by Meta based on the Llama 2 architecture. They come in two sizes: 8B and 70B parameters, each with base (pre-trained) and instruct-tuned versions. All the variants can be run on various types of consumer hardware and have a context length of 8K tokens. Meta-Llama-3-8b: Base 8B model.


Assistant: Meta Llama 3 is the latest generation of a state-of-the-art open-source large language model developed by Meta. It features enhanced capabilities and performance, using a decoder-only transformer architecture with a tokenizer capable of handling a large number of tokens. The model has been pre-trained on a dataset of over 15 trillion tokens, making it highly advanced. Meta Llama 3 is accessible for individuals, creators, researchers, and businesses of all sizes to experiment, innovate, and scale their ideas responsibly. You can learn more about Meta Llama 3 on their official GitHub site or through their blog post on the introduction of the model.
User: what's their blog post url?
Assistant: