Ayesha Kalsoom@ayesha87

Shadow AI is an agent which is powered by the LLM in our case LLAMA 2. The Agent is designed to help his boss in an efficient way for Drafting Emails Searching a Document and providing relevant information and tasks which are asked.

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Convo is a sophisticated conversation coach that analyzes posts across the most popular social platforms, finds the posts that were successful at sparking in-depth, productive, back-and-forth, discussion between other users, and identifies the elements that made these posts successful conversation starters. With this knowledge, Convo can analyze draft posts—for a brand, company, nonprofit, celebrity, business leader, political figure, and more—and rate their ability to generate positive discourse, then recommend ways to improve this rating. The ability to facilitate engaging conversations that help opposing parties better understand each others’ perspectives is crucial in our time of escalating polarization, especially in an election year. Organizations that understand social media sentiment data already have the power to predict markets. Imagine what they could do if they had the power to not just observe social sentiment, but spark the conversations that drive sentiment towards collaboration and empathy. Individual users can experience Convo’s post rating and improvement features for free through our simple and easy-to-use microsite. Organizations can pay a subscription for detailed evaluations of their draft posts, advanced post suggestions, and details on why Convo is proposing the posts it is suggesting.

Overview: Shadow AI is an agent which is powered by the LLM (Large Language Model) in our case LLAMA 2 (specifically, llama-2-7b-chat model). The Agent is designed to help his boss in an efficient way for Drafting Emails Searching a Document and providing relevant information and tasks which are asked. Generating the presentation content Boss Mode: Combining all the crucial information and providing it to the boss. (Jus like Jarvis) The agent specifically provides a combination of all the stuff listed above and specifically lists them. The agent is also able generate the relevant images with the help of stable-diffusion Key Technology: AWS Sagemaker (Our agent extensively uses the AWS sagemaker) For running the llama-2-7b-chat model For running the stable-diffusion-v2-1-base AWS Lamda For communication with our models AWS API Gateway For providing the Api access AWS S3 For storing the objects and the frontend Python 3 Details: We are using AWS’s sagemaker service for running the LLM model and the stable diffusion model. Using AWS’s sagemaker we can run the model with ease. The models are then interacting with the help of AWS’s Lamda function which is also authenticated. All the object is stored at AWS’s S3 bucket and then used on the front-end

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