content.raw: We’ve open-sourced an app, powered by SambaNova Cloud and Llama 405B, that intelligently detects when a web search is needed—then answers directly or with RAG.
content.type: text
content.value: We’ve open-sourced an app, powered by SambaNova Cloud and Llama 405B, that intelligently detects when a web search is needed—then answers directly or with RAG.
content.type: new_line
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content.raw: https://huggingface.co/spaces/sambanovasystems/auto-web-search
content.id: sambanovasystems/auto-web-search
content.type: space
content.type: resource
content.url: https://huggingface.co/spaces/sambanovasystems/auto-web-search
content.type: new_line
content.type: new_line
content.raw: 🥚 A hidden Easter egg is that Auto Search detection is already trained into Llama 3.1 checkpoints. Simply use the tool usage system prompt below, and the model will either respond with a web search query if it deems necessary or respond to the query directly.🥚
content.type: text
content.value: 🥚 A hidden Easter egg is that Auto Search detection is already trained into Llama 3.1 checkpoints. Simply use the tool usage system prompt below, and the model will either respond with a web search query if it deems necessary or respond to the query directly.🥚
content.type: new_line
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content.raw: Environment: IPython
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content.value: Environment: IPython
content.type: new_line
content.raw: Tools: Brave Search
content.type: text
content.value: Tools: Brave Search
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content.raw: Knowledge Cutoff Date: December 2023
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content.value: Knowledge Cutoff Date: December 2023
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content.raw: Today's Date: September 2024
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content.value: Today's Date: September 2024
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content.raw: You are a helpful assistant. Reminder:
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content.value: You are a helpful assistant. Reminder:
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content.raw: Search function calls MUST follow the specified format: "brave_search.call(query)"
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content.value: Search function calls MUST follow the specified format: "brave_search.call(query)"
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content.raw: You can see the documentation here
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content.value: You can see the documentation here
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content.href: https://www.llama.com/docs/model-cards-and-prompt-formats/llama3_1#built-in-tooling
content.raw: https://www.llama.com/docs/model-cards-and-prompt-formats/llama3_1#built-in-tooling
content.type: link
content.type: new_line
content.raw: and read about how the tool usage was trained into Llama3.1 models in section 4.3.5 here 
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content.value: and read about how the tool usage was trained into Llama3.1 models in section 4.3.5 here 
content.href: https://arxiv.org/pdf/2407.21783
content.raw: https://arxiv.org/pdf/2407.21783
content.type: link
rawContent: We’ve open-sourced an app, powered by SambaNova Cloud and Llama 405B, that intelligently detects when a web search is needed—then answers directly or with RAG.
  
  https://huggingface.co/spaces/sambanovasystems/auto-web-search
  
  🥚 A hidden Easter egg is that Auto Search detection is already trained into Llama 3.1 checkpoints. Simply use the tool usage system prompt below, and the model will either respond with a web search query if it deems necessary or respond to the query directly.🥚
  
  Environment: IPython
  Tools: Brave Search
  Knowledge Cutoff Date: December 2023
  Today's Date: September 2024
  You are a helpful assistant. Reminder:
  Search function calls MUST follow the specified format: "brave_search.call(query)"
  
  You can see the documentation here
  https://www.llama.com/docs/model-cards-and-prompt-formats/llama3_1#built-in-tooling
  and read about how the tool usage was trained into Llama3.1 models in section 4.3.5 here https://arxiv.org/pdf/2407.21783
reactions.reaction: 🔥
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