From 0c2eab7098bbd52a06cbdc3921b0f706f6330e15 Mon Sep 17 00:00:00 2001
From: davidmezzetti <561939+davidmezzetti@users.noreply.github.com>
Date: Fri, 12 Dec 2025 10:53:35 -0500
Subject: [PATCH] Update notebooks

---
 examples/66_Generative_Audio.ipynb            | 2 +-
 examples/67_Whats_new_in_txtai_8_0.ipynb      | 2 +-
 examples/69_Granting_autonomy_to_agents.ipynb | 4 +---
 3 files changed, 3 insertions(+), 5 deletions(-)

diff --git a/examples/66_Generative_Audio.ipynb b/examples/66_Generative_Audio.ipynb
index 07060f54..df3cd6d5 100644
--- a/examples/66_Generative_Audio.ipynb
+++ b/examples/66_Generative_Audio.ipynb
@@ -39,7 +39,7 @@
     "The next section defines a generative audio workflow. This workflow consists of a set of pipelines as follows:\n",
     "\n",
     "- LLM\n",
-    "  - Llama 3 model used to describe the emotions of a given story or poem\n",
+    "  - Model used to describe the emotions of a given story or poem\n",
     "- Text To Audio\n",
     "  - Builds audio given a text prompt\n",
     "- Text To Speech\n",
diff --git a/examples/67_Whats_new_in_txtai_8_0.ipynb b/examples/67_Whats_new_in_txtai_8_0.ipynb
index 2d4c5d60..dac71a80 100644
--- a/examples/67_Whats_new_in_txtai_8_0.ipynb
+++ b/examples/67_Whats_new_in_txtai_8_0.ipynb
@@ -252,7 +252,7 @@
    "source": [
     "Let's unpack what just happened here. The Agent reviewed multiple sources and aggregated the references into a single report. This is quite powerful 💪\n",
     "\n",
-    "Note that depending on the LLM used, errors can be seen as the Agent tries to get the function parameters right. This example is using Llama 3.1 8B. A more powerful LLM will likely lead to even better results. Remember that txtai supports a number of LLM frameworks (Hugging Face, llama.cpp and LiteLLM APIs)."
+    "Note that depending on the LLM used, errors can be seen as the Agent tries to get the function parameters right. This example is using Qwen3 4B. A more powerful LLM will likely lead to even better results. Remember that txtai supports a number of LLM frameworks (Hugging Face, llama.cpp and LiteLLM APIs)."
    ]
   },
   {
diff --git a/examples/69_Granting_autonomy_to_agents.ipynb b/examples/69_Granting_autonomy_to_agents.ipynb
index f1f86ba6..e9d8044f 100644
--- a/examples/69_Granting_autonomy_to_agents.ipynb
+++ b/examples/69_Granting_autonomy_to_agents.ipynb
@@ -143,9 +143,7 @@
    "source": [
     "💥 Interesting indeed. The fundamental concept of search is we need to know what to look for. In this case, we didn't have that (i.e. we're bored 😀).\n",
     "\n",
-    "Let's go to another example. This time we'll look at the [txtai-hfposts](https://huggingface.co/NeuML/txtai-hfposts) embeddings database. We'll ask the agent to research a specific topic then write a report about what was found.\n",
-    "\n",
-    "It's important to mention that txtai agents support any [LLM supported by txtai](https://neuml.github.io/txtai/pipeline/text/llm/). So while all of the examples have been using `Llama 3.1 8B`, other LLMs local and remote are supported (i.e. OpenAI, AWS Bedrock, Anthropic). To change it up, we'll use one of the [Qwen models](https://huggingface.co/Qwen) which have been receiving a lot of positive reviews lately."
+    "Let's go to another example. This time we'll look at the [txtai-hfposts](https://huggingface.co/NeuML/txtai-hfposts) embeddings database. We'll ask the agent to research a specific topic then write a report about what was found.\n"
    ]
   },
   {