Exactly what the header says. I use generation prefixes for the LLMs output all the time, so that it has an easier time responding with exactly what I want. for example, if i want it to generate code, I might put '''python\n as a prefix.
I know that groq, ollama and mistral all support this feature… but i have noticed that this API doesn’t seem to work that way. (I’m using the REST api, not some OpenAI library)
Which model was giving you the markdown without the language tag 405B instruct provided it
curl -H "Authorization: Bearer xxxxxxxxxxxxxxx" \
-H "Content-Type: application/json" \
-d '{
"stream": false,
"model": "Meta-Llama-3.1-405B-Instruct",
"messages": [
{
"role": "user",
"content": [
{
"type": "text",
"text": "Write a Python program to create a binary search tree."
}
]
}
]
}' \
-X POST https://api.sambanova.ai/v1/chat/completions
{"choices":[{"finish_reason":"stop","index":0,"logprobs":null,"message":{"content":"**Binary Search Tree Implementation in Python**\n=====================================================\n\nBelow is a Python implementation of a binary search tree. This implementation includes methods for inserting nodes, traversing the tree (inorder, preorder, and postorder), and searching for a specific value.\n\n```python\nclass Node:\n \"\"\"\n Represents a node in the binary search tree.\n \n Attributes:\n value (int): The value stored in the node.\n left (Node): The left child of the node.\n right (Node): The right child of the node.\n \"\"\"\n def __init__(self, value):\n self.value = value\n self.left = None\n self.right = None\n\nclass BinarySearchTree:\n \"\"\"\n Represents a binary search tree.\n \n Attributes:\n root (Node): The root node of the tree.\n \"\"\"\n def __init__(self):\n self.root = None\n\n def insert(self, value):\n \"\"\"\n Inserts a new node with the given value into the tree.\n \n Args:\n value (int): The value to be inserted.\n \"\"\"\n if self.root is None:\n self.root = Node(value)\n else:\n self._insert_recursive(self.root, value)\n\n def _insert_recursive(self, current_node, value):\n \"\"\"\n Recursively inserts a new node into the tree.\n \n Args:\n current_node (Node): The current node being processed.\n value (int): The value to be inserted.\n \"\"\"\n if value \u003c current_node.value:\n if current_node.left is None:\n current_node.left = Node(value)\n else:\n self._insert_recursive(current_node.left, value)\n else:\n if current_node.right is None:\n current_node.right = Node(value)\n else:\n self._insert_recursive(current_node.right, value)\n\n def inorder_traversal(self):\n \"\"\"\n Performs an inorder traversal of the tree and returns the values in ascending order.\n \n Returns:\n list: A list of values in ascending order.\n \"\"\"\n result = []\n self._inorder_traversal_recursive(self.root, result)\n return result\n\n def _inorder_traversal_recursive(self, current_node, result):\n \"\"\"\n Recursively performs an inorder traversal of the tree.\n \n Args:\n current_node (Node): The current node being processed.\n result (list): The list of values.\n \"\"\"\n if current_node:\n self._inorder_traversal_recursive(current_node.left, result)\n result.append(current_node.value)\n self._inorder_traversal_recursive(current_node.right, result)\n\n def preorder_traversal(self):\n \"\"\"\n Performs a preorder traversal of the tree and returns the values.\n \n Returns:\n list: A list of values.\n \"\"\"\n result = []\n self._preorder_traversal_recursive(self.root, result)\n return result\n\n def _preorder_traversal_recursive(self, current_node, result):\n \"\"\"\n Recursively performs a preorder traversal of the tree.\n \n Args:\n current_node (Node): The current node being processed.\n result (list): The list of values.\n \"\"\"\n if current_node:\n result.append(current_node.value)\n self._preorder_traversal_recursive(current_node.left, result)\n self._preorder_traversal_recursive(current_node.right, result)\n\n def postorder_traversal(self):\n \"\"\"\n Performs a postorder traversal of the tree and returns the values.\n \n Returns:\n list: A list of values.\n \"\"\"\n result = []\n self._postorder_traversal_recursive(self.root, result)\n return result\n\n def _postorder_traversal_recursive(self, current_node, result):\n \"\"\"\n Recursively performs a postorder traversal of the tree.\n \n Args:\n current_node (Node): The current node being processed.\n result (list): The list of values.\n \"\"\"\n if current_node:\n self._postorder_traversal_recursive(current_node.left, result)\n self._postorder_traversal_recursive(current_node.right, result)\n result.append(current_node.value)\n\n def search(self, value):\n \"\"\"\n Searches for a node with the given value in the tree.\n \n Args:\n value (int): The value to be searched.\n \n Returns:\n bool: True if the value is found, False otherwise.\n \"\"\"\n return self._search_recursive(self.root, value)\n\n def _search_recursive(self, current_node, value):\n \"\"\"\n Recursively searches for a node with the given value in the tree.\n \n Args:\n current_node (Node): The current node being processed.\n value (int): The value to be searched.\n \n Returns:\n bool: True if the value is found, False otherwise.\n \"\"\"\n if current_node is None:\n return False\n if value == current_node.value:\n return True\n elif value \u003c current_node.value:\n return self._search_recursive(current_node.left, value)\n else:\n return self._search_recursive(current_node.right, value)\n\n\n# Example usage\nif __name__ == \"__main__\":\n bst = BinarySearchTree()\n bst.insert(8)\n bst.insert(3)\n bst.insert(10)\n bst.insert(1)\n bst.insert(6)\n bst.insert(14)\n bst.insert(4)\n bst.insert(7)\n bst.insert(13)\n\n print(\"Inorder traversal:\", bst.inorder_traversal())\n print(\"Preorder traversal:\", bst.preorder_traversal())\n print(\"Postorder traversal:\", bst.postorder_traversal())\n\n print(\"Search for 10:\", bst.search(10))\n print(\"Search for 15:\", bst.search(15))\n```\n\nThis implementation provides a basic binary search tree with methods for inserting nodes, traversing the tree, and searching for a specific value. The example usage demonstrates how to create a binary search tree, insert nodes, and perform traversals and searches.","role":"assistant"}}],"created":1739048084,"id":"f113c005-eb6f-4538-b93d-9ca7f78c7f6f","model":"Meta-Llama-3.1-405B-Instruct","object":"chat.completion","system_fingerprint":"fastcoe","usage":{"acceptance_rate":11.054054260253906,"completion_tokens":1228,"completion_tokens_after_first_per_sec":241.58457662468612,"completion_tokens_after_first_per_sec_first_ten":241.8372175509608,"completion_tokens_per_sec":234.29322621196064,"end_time":1739048084.484114,"is_last_response":true,"prompt_tokens":58,"start_time":1739048079.2416477,"stop_reason":"stop","time_to_first_token":0.1634995937347412,"total_latency":5.241295362457691,"total_tokens":1286,"total_tokens_per_sec":245.35919292229755}}
specifically you can see it here
... and searching for a specific value.\n\npython\nclass Node:\n """\n Represents …
-Coby