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.

Assistant: Understood. I will strictly follow these instructions in this conversation.
User: tell me about meta llama 3
Assistant: Meta llama 3 refers to the third installment in the Meta Llama series, but I’m not familiar with any existing information about it. Would you like me to look up more information on it?
User: yes


 for "Meta llama 3 details":

Introducing Meta Llama 3: The most capable openly available LLM to date
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 ...

GitHub - meta-llama/llama3: The official Meta Llama 3 GitHub site
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 ...

Building Meta's GenAI Infrastructure - Engineering at Meta
https://engineering.fb.com/2024/03/12/data-center-engineering/building-metas-genai-infrastructure/
Today, we're sharing details on two versions of our 24,576-GPU data center scale cluster at Meta. These clusters support our current and next generation AI models, including Llama 3, the successor to Llama 2, our publicly released LLM, as well as AI research and development across GenAI and other areas . A peek into Meta's large-scale AI ...

Welcome Llama 3 - Meta's new open LLM - Hugging Face
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.

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.


Assistant: Meta Llama 3 is the latest in the Meta Llama series, representing a significant advancement in large language models. It is open-source and will soon be available on various platforms like AWS, Google Cloud, and Microsoft Azure. The release includes model weights and code for pre-trained and instruction-tuned models. You can find more information on the official GitHub page for Meta Llama 3. Additionally, Meta’s GenAI infrastructure supports Llama 3 and other AI models. The Llama 3 release introduces new open LLM models with different parameters, allowing for flexibility in usage. For a comprehensive overview, you can check out resources that outline all the necessary details about Meta Llama 3.
User: whats the link to the github page
Assistant: