When writing a prompt provide context allows It will still require review but less work do be done What format we want it to be Inform chatgpt who we want it to be to perform a task Adding persona is a very concise way of receiving a certain type of input Splitting up complex task Create presets of instruction to chatgpt to avoid repeatedly provide same information when chatting with GPT. You can create a personal how you would like chatgpt to respond are AI Models that can process data from various modalities Visual question answering Where you give the model an image along with a questions Test to image, video and audio generation Where you give the model an text prompt with an image or simple a text and the model generates a new image. This can be beneficial in 2 ways: We can make Chatgpt to ask ask question and find out if we are missing some information Good way of providing chatgpt context Leverage Chatgpt to enhance prompting Must be approved by the stakesholders Configure environment, if necessary Omit password keys or sensitive data to chatgpt Instruction first before example Inform the system to do an action first prior proceeding Example adding calcu() to calculate and equation first before explaining the solution Language model is not thinking its just returning similar patterns that it pick up during the training Text Input ( Prompt ) → Language Model → Text Output Text Input and Image ( Prompt ) → Language Model → Text Output Massive Multitask Language Understanding (MMLU) Benchmark Multiple choice questions in 57 subjects Crafting ideal inputs in order to get the most out of large language models Artificial Intelligence vs Intelligent Automation Uses cognitive technologies to streamline processes that are prone to errors and would normally be done manually Select → Assess → Optimize → Integrate → Automate → Monitor Analyze structure and unstructured data to make predictions Business Process Management Optimizes workflow for greater agility and consistency Robotic Process Automation Automates manual, complex and repetitive tasks Automating workflows be a combination of AI, Automation and Human Intelligence intuition and expertise.
Key Benefits of Automation Increase accuracy and predictability
Learnings:
I am not a product of my circumstances. I am a product of my decision - Stephen Covey
Selecting Workflows to Automate
Identify simple yet time-consuming workflows Choose well-defined processes that can be repeated Determine if automation will help or improve the workflow Assess Workflows to Automate
Conduct workflow analysis List the tasks and the order they’re completed in. Create diagram to visualize the process Classify the resource responsible for each task. Identify if the people working on each task is changing for each task Collect data on each task Analyze data to draw conclusions Identify task for improvement Optimizing Workflows:
Identify if the event that triggers task should be modified or eliminated Identify if instruction can be executed that initially done after the other can be done at the same time. identify if the result matched your expectation Human and machines that perform, support or influence work Identify every available resources Roles and what resources will be held accountable for each task’s completion Task being done more times than necessary Integrate and automate project workflows
Monitoring Project Workflow
Regularly review workflows and redesign workflows for improvement Task Mining
Further refine your result to better understand their underlying tasks, identify inefficiencies, and take action.
Should contain:
Knowledge of a particular area or field of expertise that enables AI system to process data in a meaningful way, It allows you to see what good or bad output look like, It should be a template that can be modified based on specific need. The model’s output is always randomly determined When prompt is use it provided different results. 
