Update notebooks

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",

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)."
    ]
   },
   {

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"
    ]
   },
   {