Larry Todd Wilson@ltwilson

The fundamental act of reading is essential in today's knowledge society. Reading is not just about decoding words. Reading requires understanding vocabulary in context, analyzing structure, inferring meaning, and synthesizing information—complex skills that many struggle with. The time is now to eliminate the gap between the critical importance of reading comprehension in our society and the challenges that individuals encounter in their reading journeys. Goal: Deliver a thoughtful, AI-empowered approach to significantly enhance how billions of people read, learn, and access information. In May 2023, Anthropic expanded Claude’s context window from 9K to 100K tokens. There are many opportunities for using this capability! Let’s start with reading! "Reading Boost," is an AI-empowered process that individualizes reading comprehension for students, educators, professionals, and individuals with reading or learning difficulties. The process has four steps – plan, implement, review, and improve. AI’s role is to augment each step, maintain metacognitive knowledge, and produce counterfactual strategies to improve reading tasks.

Objective: Address the needs of marketing professionals for a succinct, efficient, and effective CV Profile - a concise encapsulation of their work activities and workstyle. Utilize AI21's generative AI technology for this task. Develop a unique prompt using a chain-of-thought approach, allowing marketing professionals to quickly create a personalized CV profile. This solution streamlines the updating process of a CV profile. As professionals grow and their skill set diversifies, they can edit their work activities and work style, paste the prompt, and swiftly generate an updated profile. The key advantage of our solution is speed and efficiency. It removes the tedious process of data sourcing, cleaning, and repetitive trial-and-error prompt creation, providing a high-quality output quickly.

Whatever work you do, there is one question that all of us face: How will AI impact my job?! Societally, we are not answering this question very well. The majority of messages are fear-based and vague. Our objective was to figure out how to focus on any job and recognize tasks that can be automated and augmented by generative AI. Within the machine learning workflow, we focused on prompt design, hyperparameter tuning, training and experiment tracking. Though our knowledge harvesting team didn’t include any software engineers, we found that the Generative AI Studio of Google Vertex AI was a powerful way to achieve No-Code AI. So, flip the paradigm! Don’t dwell on data, notebooks, and APIs! Prompt well!