Merge pull request #53965 from GraemeMalcolm/main

Updated videos

Author: JillGrant615

learn-pr/wwl-data-ai/fundamentals-generative-ai/includes/1-introduction.md

@@ -1,6 +1,6 @@
 ::: zone pivot="video"
 
->[!VIDEO https://learn-video.azurefd.net/vod/player?id=8576cbbe-fdeb-4eeb-9271-1d2c97293b44]
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=01fc2e04-540b-4f2a-a8d5-ddadd911cdfa]
 
 ::: zone-end
 
@@ -14,4 +14,3 @@ However, there's no wizardry involved in generative AI – just the application
 
 > [!NOTE]
 > We recognize that different people like to learn in different ways. You can choose to complete this module in video-based format or you can read the content as text and images. The text contains greater detail than the videos, so in some cases you might want to refer to it as supplemental material to the video presentation.
-

learn-pr/wwl-data-ai/fundamentals-generative-ai/includes/3-language-models.md

@@ -1,6 +1,6 @@
 ::: zone pivot="video"
 
->[!VIDEO https://learn-video.azurefd.net/vod/player?id=fdb3cc8e-1efb-4d2e-8c63-06048ecdbdfb]
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=5ce41f67-d68d-4d7f-8c3d-06a268f70f30]
 
 > [!NOTE]
 > See the **Text and images** tab for more details!

learn-pr/wwl-data-ai/fundamentals-generative-ai/includes/6-writing-prompts.md

@@ -1,6 +1,6 @@
 ::: zone pivot="video"
 
->[!VIDEO https://learn-video.azurefd.net/vod/player?id=781d38e5-5a58-4ba9-b6c6-8b7e9f03f5a8]
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=d4c7f861-253d-479a-a999-7979c4c91069]
 
 > [!NOTE]
 > See the **Text and images** tab for more details!
@@ -64,4 +64,4 @@ To get better results from your prompts:
 
 Using well-designed prompts can make a huge difference to the results you’ll get from your generative AI model.
 
-::: zone-end
+::: zone-end

learn-pr/wwl-data-ai/fundamentals-generative-ai/includes/7-agents.md

@@ -1,6 +1,6 @@
 ::: zone pivot="video"
 
->[!VIDEO https://learn-video.azurefd.net/vod/player?id=6ee42a95-da4a-46bf-9cad-0ef84acf8922]
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=849d6e4f-c56a-4d32-8b0e-10dfc37d376e]
 
 > [!NOTE]
 > See the **Text and images** tab for more details!
@@ -22,8 +22,8 @@ AI agents have three key elements:
 - **A large language model**: This is the agent's brain; using generative AI for language understanding and reasoning.
 - **Instructions**: A system prompt that defines the agent’s role and behavior. Think of it as the agent’s job description.
 - **Tools**: These are what the agent uses to interact with the world. Tools can include:
-    - *Knowledge* tools that provide access to information, like search engines or databases.
-    - *Action* tools that enable the agent to perform tasks, such as sending emails, updating calendars, or controlling devices.
+  - *Knowledge* tools that provide access to information, like search engines or databases.
+  - *Action* tools that enable the agent to perform tasks, such as sending emails, updating calendars, or controlling devices.
 
 With these capabilities, AI agents can take on the role of digital assistants that intelligently automate tasks and collaborate with you to work smarter and more efficiently.
 
@@ -35,6 +35,6 @@ Agents can also work with one another, in multi-agent systems. Instead of one ag
 
 Agents communicate with each other through prompts, using generative AI to determine what tasks are required and which agents are responsible for completing them.
 
-Agentic AI is set to be the next advance in how we use technology to find information and get work done. 
+Agentic AI is set to be the next advance in how we use technology to find information and get work done.
 
-::: zone-end
+::: zone-end

learn-pr/wwl-data-ai/fundamentals-generative-ai/includes/9-summary.md

@@ -1,6 +1,6 @@
 ::: zone pivot="video"
 
->[!VIDEO https://learn-video.azurefd.net/vod/player?id=d4576e9f-45bb-4e50-8e89-06d8f76cfd04]
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=6bc8375a-ed2e-4e03-b4ee-85ada5544fd7]
 
 > [!NOTE]
 > See the **Text and images** tab for more details!
@@ -15,7 +15,7 @@ Generative AI is a rapidly developing field of AI that supports new language gen
 
 > [!TIP]
 > For more information about some of the concepts discussed in this module, take a look at the following links:
-> 
+>
 > - [What are large language models (LLMs)?](https://azure.microsoft.com/resources/cloud-computing-dictionary/what-are-large-language-models-llms?azure-portal=true)
 > - [What is retrieval-augmented generation (RAG)?](https://azure.microsoft.com/resources/cloud-computing-dictionary/what-is-retrieval-augmented-generation-rag?azure-portal=true)
 > - [Agent Factory: The new era of agentic AI—common use cases and design patterns](https://azure.microsoft.com/blog/agent-factory-the-new-era-of-agentic-ai-common-use-cases-and-design-patterns?azure-portal=true)

learn-pr/wwl-data-ai/get-started-ai-fundamentals/includes/1-introduction.md

@@ -1,6 +1,6 @@
 ::: zone pivot="video"
 
->[!VIDEO https://learn-video.azurefd.net/vod/player?id=911fe0c7-14bc-44ea-b2e0-fd9bdbc6ef94]
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=185e34e2-7014-4d44-a9f9-6830e170f3bd]
 
 ::: zone-end
 

learn-pr/wwl-data-ai/get-started-ai-fundamentals/includes/2-generative-ai.md

@@ -1,6 +1,6 @@
 ::: zone pivot="video"
 
->[!VIDEO https://learn-video.azurefd.net/vod/player?id=7284116f-533c-47f7-8d0f-7a3328df7ea8]
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=834bbf13-bf7b-4cd5-b8c5-3978f56cf887]
 
 > [!TIP]
 > [Try the Computing History app shown in this video for yourself](https://aka.ms/mslearn-ai-workloads?azure-portal=true).
@@ -31,4 +31,4 @@ Common uses of generative AI include:
 - Automated translation of text between languages.
 - Summarizing or explaining complex documents.
 
-::: zone-end
+::: zone-end

learn-pr/wwl-data-ai/get-started-ai-fundamentals/includes/3-computer-vision.md

@@ -1,6 +1,6 @@
 ::: zone pivot="video"
 
->[!VIDEO https://learn-video.azurefd.net/vod/player?id=6bddab82-350b-4420-a1f3-741b9741c7b1]
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=a38025d0-4c17-454f-9eb8-deb71bbea507]
 
 > [!TIP]
 > [Try the Computing History app shown in this video for yourself](https://aka.ms/mslearn-ai-workloads?azure-portal=true).
@@ -35,4 +35,4 @@ Common uses of computer vision include:
 - Authentication through facial recognition.
 - Robotics and self-driving vehicles.
 
-::: zone-end
+::: zone-end

learn-pr/wwl-data-ai/get-started-ai-fundamentals/includes/4-speech.md

@@ -1,6 +1,6 @@
 ::: zone pivot="video"
 
->[!VIDEO https://learn-video.azurefd.net/vod/player?id=dfce25be-30a1-4695-a805-45d139d1d133]
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=1918c910-7b6e-4e7a-854a-033223beb325]
 
 > [!TIP]
 > [Try the Computing History app shown in this video for yourself](https://aka.ms/mslearn-ai-workloads?azure-portal=true).
@@ -37,4 +37,4 @@ Common uses of AI speech technologies include:
 - Automating audio descriptions of video or text.
 - Automated speech translation between languages.
 
-::: zone-end
+::: zone-end

learn-pr/wwl-data-ai/get-started-ai-fundamentals/includes/5-natural-language-processing.md

@@ -1,6 +1,6 @@
 ::: zone pivot="video"
 
->[!VIDEO https://learn-video.azurefd.net/vod/player?id=b0aec446-97a1-4d66-a0ae-a67014e40937]
+>[!VIDEO https://learn-video.azurefd.net/vod/player?id=a38025d0-4c17-454f-9eb8-deb71bbea507]
 
 > [!TIP]
 > [Try the Computing History app shown in this video for yourself](https://aka.ms/mslearn-ai-workloads?azure-portal=true).
@@ -31,4 +31,3 @@ Common uses of NLP technologies for text analysis include:
 - Implementing chatbots that can answer frequently asked questions or orchestrate predictable conversational dialogs that don't require the complexity of generative AI.
 
 ::: zone-end
-