Tech for good

01. Use Gemini to generate written content   02. Use Gemini to refine written content  03. Proofread your document for spelling, grammar, style, and word choice by using Gemini

01. Use Gemini in Gamil to write a message Consider asking Gemini to email employees highlighting the latest software updates that IT team launched.   02. Use Gemini in Gamil to refine a messageTo change the tone of your message to be more appropriate for a business context, select Formalize.If you want to make the text longer, select Elaborate.If the text is already too long, select Shorten, to..

01. Define generative AI Generative AI does not change our foundational privacy protections for giving users choice and control over their data.  02. Outline the main Gemini featuresMarketingTo draft creative and engaging content for marketing materials based on the audience.To organize and act on data faster to spot customer trends.To generate compelling visuals to improve marketing presentatio..

https://www.youtube.com/playlist?list=PLIivdWyY5sqIlLF9JHbyiqzZbib9pFt4x Generative AI Learning Path https://goo.gle/LearnGenAI www.youtube.com Introduction 1. Pass images to encoder 2. Extract information from the images 3. Create some feature vectors 4. Vectors are passed to the decoder 5. Build captions by generating words, one by one. Decoder It gets words one by one and makes the informatio..

https://www.youtube.com/playlist?list=PLIivdWyY5sqIlLF9JHbyiqzZbib9pFt4x Generative AI Learning Path https://goo.gle/LearnGenAI www.youtube.com If you are an app developer or data scientist and want to build an application, you can use Generative AI Studio to quickly prototype and customize generative AI models with no code or low code. If you are a data scientist or ML developer who wants to bu..

https://www.youtube.com/playlist?list=PLIivdWyY5sqIlLF9JHbyiqzZbib9pFt4x Generative AI Learning Path https://goo.gle/LearnGenAI www.youtube.com RNN/LSTM -> Sequence-to-sequence model i.e. Translation, Text classification Although all the models before Transformers were able to represent words as vectors, these vectors did not contain the context. And the usage of words changes based on the conte..

https://www.youtube.com/playlist?list=PLIivdWyY5sqIlLF9JHbyiqzZbib9pFt4x Generative AI Learning Path https://goo.gle/LearnGenAI www.youtube.com Attention mechanism is behind all the transformer models and which is core to the LLM models. Encoder-Decoder is a popular model that is used to translate sentences. The encoder-decoder takes one word at a time and translates it at each time step. Howeve..

https://www.youtube.com/playlist?list=PLIivdWyY5sqIlLF9JHbyiqzZbib9pFt4x Generative AI Learning Path https://goo.gle/LearnGenAI www.youtube.com Encoding stage It produces a vector representation of the input sentence. Decoding stage It creates the sequence output. Both the encoder and the decoder can be implemented with different internal architectures. The internal mechanism can be a recurrent ..

https://www.youtube.com/playlist?list=PLIivdWyY5sqIlLF9JHbyiqzZbib9pFt4x Generative AI Learning Path https://goo.gle/LearnGenAI www.youtube.com GANs One neural network (Generator) -> creates images The other neural network (Discriminator) -> predicts if the image is real or fake Forward diffusion Start with a clean image and add noise iteratively Reverse diffusion Start with a noisy image and re..

https://www.youtube.com/playlist?list=PLIivdWyY5sqIlLF9JHbyiqzZbib9pFt4x Generative AI Learning Path https://goo.gle/LearnGenAI www.youtube.com Google will not design or deploy AI in these four application areas: