Add Phi_3_5_Mini_Conversational notebook

Author: Dhivya-Bharathy

examples/cookbooks/Phi_3_5_Mini_Conversational.ipynb

@@ -0,0 +1,120 @@
+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "id": "468831db",
+      "metadata": {
+        "id": "468831db"
+      },
+      "source": [
+        "# Phi-3.5 Mini Conversational Example"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "ecb80fe2",
+      "metadata": {
+        "id": "ecb80fe2"
+      },
+      "source": [
+        "**Description:**\n",
+        "\n",
+        "Demonstrates lightweight inference using Phi-3.5 Mini, suitable for smaller hardware and educational use cases."
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/DhivyaBharathy-web/PraisonAI/blob/main/examples/cookbooks/Phi_3_5_Mini_Conversational.ipynb)\n"
+      ],
+      "metadata": {
+        "id": "S1erg7-JP6n3"
+      },
+      "id": "S1erg7-JP6n3"
+    },
+    {
+      "cell_type": "markdown",
+      "id": "0822161c",
+      "metadata": {
+        "id": "0822161c"
+      },
+      "source": [
+        "**Dependencies**\n",
+        "\n",
+        "```python\n",
+        "!pip install transformers accelerate\n",
+        "!pip install torch\n",
+        "```"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "0df5580b",
+      "metadata": {
+        "id": "0df5580b"
+      },
+      "source": [
+        "**Tools Used**\n",
+        "\n",
+        "- HuggingFace Transformers\n",
+        "- PyTorch"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "9d6df43d",
+      "metadata": {
+        "id": "9d6df43d"
+      },
+      "source": [
+        "**YAML Prompt**\n",
+        "\n",
+        "```yaml\n",
+        "system: You are a helpful assistant.\n",
+        "user: Explain what an AI model is.\n",
+        "```"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "id": "0e775593",
+      "metadata": {
+        "id": "0e775593"
+      },
+      "outputs": [],
+      "source": [
+        "from transformers import AutoTokenizer, AutoModelForCausalLM\n",
+        "\n",
+        "tokenizer = AutoTokenizer.from_pretrained(\"microsoft/phi-3.5-mini\")\n",
+        "model = AutoModelForCausalLM.from_pretrained(\"microsoft/phi-3.5-mini\")\n",
+        "\n",
+        "inputs = tokenizer(\"What is an AI model?\", return_tensors=\"pt\")\n",
+        "outputs = model.generate(**inputs, max_new_tokens=40)\n",
+        "print(tokenizer.decode(outputs[0], skip_special_tokens=True))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "id": "187fe354",
+      "metadata": {
+        "id": "187fe354"
+      },
+      "source": [
+        "**Output**\n",
+        "\n",
+        "The model gives a basic explanation of what AI models do.\n",
+        "\n",
+        "What is an AI model?\n",
+        "An AI model is a computer program that is trained on large amounts of data to perform tasks that normally require human intelligence.\n"
+      ]
+    }
+  ],
+  "metadata": {
+    "colab": {
+      "provenance": []
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 5
+}