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1-getting-started/lessons/1-introduction-to-generative-ai/README.md rename to 01-introduction-to-genai/lessons/1-introduction-to-generative-ai/README.md index ee623a3b9..ad91f0b39 100644 --- a/1-getting-started/lessons/1-introduction-to-generative-ai/README.md +++ b/01-introduction-to-genai/lessons/1-introduction-to-generative-ai/README.md @@ -1,7 +1,7 @@ # Introduction to Generative AI and Large Language Models - -![]() +[![Introduction to Generative AI and Large Language Models](./images/genai_course_1[83].png)](https://youtu.be/vf_mZrn8ibc) + Generative AI is artificial intelligence capable of generating text, images and other type of content. What makes it a fantastic technology is that it democratizes AI, anyone can use it with as little as a text prompt, a sentence written in a natural language. There's no need for you to learn a language like Java or SQL to accomplish something worthwhile, all you need is to use your language, state what you want and out comes a suggestion from an AI model. The applications and impact for this is huge, you write or understand reports, write applications and much more, all in seconds. @@ -113,8 +113,9 @@ Your assignment is to read up more on [generative AI](https://en.wikipedia.org/w If you done this task, you might even be ready to apply to Microsoft's incubator, [Microsoft for Startups Founders Hub](https://www.microsoft.com/en-gb/startups) we offer credits for both Azure, OpenAI, mentoring and much more, check it out! -## Additional resources +## Great Work! Continue the Journey + +Want to learn more about different Generative AI concepts? Go to the [contiuned learning page](/13%20-%20contiuned-learning/README.md) to find other great resources on this topic. + +Head over to the Lesson 2 where we will look at how to [explore and compare different LLM types](/2-exploring-and-comparing-different-llms/README.md)! -* [How GPT models work: accessible to everyone](https://bea.stollnitz.com/blog/how-gpt-works/) -* [Generative AI: Implication and Applications for Education](https://arxiv.org/abs/2305.07605) -* [Fundamentals of Generative AI](https://learn.microsoft.com/training/modules/fundamentals-generative-ai/) diff --git a/1-getting-started/lessons/1-introduction-to-generative-ai/images/AI-diagram.png b/01-introduction-to-genai/lessons/1-introduction-to-generative-ai/images/AI-diagram.png similarity index 100% rename from 1-getting-started/lessons/1-introduction-to-generative-ai/images/AI-diagram.png rename to 01-introduction-to-genai/lessons/1-introduction-to-generative-ai/images/AI-diagram.png diff --git 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a/4-prompt-engineering-fundamentals/README.md +++ b/04-prompt-engineering-fundamentals/README.md @@ -1,17 +1,7 @@ - +[![Prompt Engineering Fundamentals ](./img/genai_course_4[10].png)](https://youtu.be/r2ItK3UMVTk) -# 1. Prompt Engineering Fundamentals _Generative AI_ is capable of creating new content (e.g., text, images, audio, code etc.) in response to user requests. 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@@ -608,4 +611,11 @@ Why would I use chain-of-thought prompting? Show me 1 correct response and 2 inc - B, To teach the LLM to find errors in code. - C, To instruct the LLM to come up with different solutions. -Answer: A, because chain-of-thought is about showing the LLM how to solve a problem by providing it with a series of steps, and similar problems and how they were solved. \ No newline at end of file +Answer: A, because chain-of-thought is about showing the LLM how to solve a problem by providing it with a series of steps, and similar problems and how they were solved. + +## Great Work! Continue Your Learning + +Want to learn more about creating advanced prompts? Go to the [contiuned learning page](/13%20-%20contiuned-learning/README.md) to find other great resources on this topic. + + +Head over to the Lesson 6 where we will apply our knowledge of Prompt Engineering by [building text generation apps](/6-text-generation-apps/README.md)! \ No newline at end of file diff --git a/5-advanced-prompts/assignment.py b/05-advanced-prompts/assignment.py similarity index 100% rename from 5-advanced-prompts/assignment.py rename to 05-advanced-prompts/assignment.py diff --git a/05-advanced-prompts/images/genai_course_5[65].png b/05-advanced-prompts/images/genai_course_5[65].png new file mode 100644 index 0000000000000000000000000000000000000000..76befae7ea34ce36e346b445ee6ea00c71b1694c GIT binary patch literal 704666 zcmXtgbzGD08}6hB(%o!qbeDj1ZiIw1D4l|&(%m4j(TLubwKNu0)KUjE>s{p7q2I(7;GC zX*ztM)dDGQLd;boA(Iw5bqFKzc+-*R<$TU+uZNS_KDJkCz=xW2Ym|-AY^Kge&-rr& z;KExAxsP7=2~`=knbI&)f$`{&qi8M$i+x9z=Wkp;{NCKk@V}7zPx8N=K=0N0(+a#+ 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01-introduction-to-genai/lessons/1-introduction-to-generative-ai/images/tokenizer-example.png diff --git a/2-exploring-and-comparing-different-llms/README.md b/02-exploring-and-comparing-different-llms/README.md similarity index 94% rename from 2-exploring-and-comparing-different-llms/README.md rename to 02-exploring-and-comparing-different-llms/README.md index 7deb0efea..fcf1b2e25 100644 --- a/2-exploring-and-comparing-different-llms/README.md +++ b/02-exploring-and-comparing-different-llms/README.md @@ -1,5 +1,8 @@ # Exploring and comparing different LLMs +[![Exploring and comparing different LLMs](./images/genai_course_2[56].png)](https://youtu.be/J1mWzw0P74c) + + ## Introduction With the previous lesson, we have seen how Generative AI is changing the technology landscape, how Large Language Models (LLMs) work and how a business - like the Edu4All startup - can apply them to their use cases and grow! @@ -144,10 +147,12 @@ This would be the preferred approach if: ### Trained model Training an LLM from scratch is without a doubt the most difficult and the most complex approach to adopt, requiring massive amounts of data, skilled resources, and appropriate computational power. This option should be considered only in a scenario where a business has a domain-specific use case and a large amount of domain-centric data. -## Additional resources -- [The Large Language Model (LLM) Index | Sapling](https://sapling.ai/llm/index) -- [[2304.04052] Decoder-Only or Encoder-Decoder? Interpreting Language Model as a Regularized Encoder-Decoder (arxiv.org)](https://arxiv.org/abs/2304.04052) -- [How to use Open Source foundation models curated by Azure Machine Learning (preview) - Azure Machine Learning | Microsoft Learn](https://learn.microsoft.com/en-us/azure/machine-learning/how-to-use-foundation-models?view=azureml-api-2) -- [Four Ways that Enterprises Deploy LLMs | Fiddler AI Blog](https://www.fiddler.ai/blog/four-ways-that-enterprises-deploy-llms) -- [Retrieval Augmented Generation using Azure Machine Learning prompt flow](https://learn.microsoft.com/en-us/azure/machine-learning/concept-retrieval-augmented-generation?view=azureml-api-2) -- [Grounding LLMs](https://techcommunity.microsoft.com/t5/fasttrack-for-azure/grounding-llms/ba-p/3843857) +## Great Work, Continue Your Learning! + + +Want to learn more about different Generative AI concepts? Go to the [contiuned learning page](/13%20-%20contiuned-learning/README.md) to find other great resources on this topic. + + +Head over to the Lesson 3 where we will look at how to [build with Generative AI Responsibly](/03-using-generative-ai-responsibly%20/README.MD)! + + diff --git a/2-exploring-and-comparing-different-llms/images/Deploy.png b/02-exploring-and-comparing-different-llms/images/Deploy.png similarity index 100% rename from 2-exploring-and-comparing-different-llms/images/Deploy.png rename to 02-exploring-and-comparing-different-llms/images/Deploy.png diff --git a/2-exploring-and-comparing-different-llms/images/Embedding.png b/02-exploring-and-comparing-different-llms/images/Embedding.png similarity index 100% rename from 2-exploring-and-comparing-different-llms/images/Embedding.png rename to 02-exploring-and-comparing-different-llms/images/Embedding.png diff --git a/2-exploring-and-comparing-different-llms/images/FoundationModel.png 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