The key insights from this article are that LXPs (Learning Experience Platforms) are used for self-directed learning and professional development, offering personalized learning paths and tailored content recommendations. LXPs utilize AI and machine learning to curate and generate content, provide analytics and dashboards for tracking progress, and integrate with third-party platforms. LXPs offer a modern and engaging user experience, with features such as gamification and social learning. The learning and development market is expected to continue growing, with LXPs gaining... read more >

The article provides a list of various instructional activities that can be used in online and hybrid courses. These activities include case study analysis, document analysis, visual culture/artifact analysis, critiques or critical reviews, virtual tours, mapping activities, mind or concept mapping, timelines, project-based learning, creation of lesson plans and learning materials, role-playing games, artificial intelligence prompts and testing, social media campaigns, research posters, infographics, experimental design, interviews, speeches, summarizing news or current events, developing... read more >

"Even though A.I. is moving into the next phase of its development, the birth of the industry came at the “perfect time” for the global/U.S. economy, the partners write. The U.S. economy is facing an existential problem whereby it risks not having enough workers to fill all of its jobs. Essentially, the current, extremely tight labor market will be a permanent fixture of the economy rather than a recent trend. “The U.S. workforce fell into a wormhole and disappeared,” Kedrosky and Norlin write."—A.I. came at 'perfect time' to save the economy, VC says | Fortune  read more >

The article discusses a phenomenon called "quiet cutting" where companies are finding ways to cut jobs without officially firing employees. Layoffs are down, but workers are receiving messages that their jobs are gone. The article highlights the jarring nature of this approach and suggests that it is a way for companies to avoid negative publicity associated with layoffs. The key insight is that while the number of layoffs may be decreasing, companies are still finding alternative ways to reduce their workforce. Original article: Youve Heard of Quiet Quitting. Now Companies Are Quiet Cutting. ... read more >

The article discusses a study on the reliability and robustness of code generated by large language models (LLMs) for Java coding questions. The study evaluated four code-capable LLMs, including GPT-3.5 and GPT-4 from OpenAI, and found that they exhibited high rates of API misuse. The study also highlighted the importance of assessing code reliability beyond semantic correctness and emphasized the need for static analysis to ensure full coverage. Llama 2, an open model, performed the best with a failure rate of less than one percent. Original article: Perhaps AI is going to take away coding...... read more >

"Kedrosky and Norlin believe demographic trends will ultimately lead to a drastic decline in overall productivity as industries like retail, manufacturing, and health care struggle to fill open positions. There’s some indication that those trends are, in fact, here to stay. The overall labor force participation rate is still about a percentage point lower than it was in February 2020. In a workforce the size of the U.S.’s that can equal several million workers."—A.I. came at 'perfect time' to save the economy, VC says | Fortune  read more >

The key insights from this article are that OpenAI has released fine-tuning for the ChatGPT 3.5 Turbo model, which allows for customization to specific tasks and improves durability and reliability of the output. Fine-tuning also enables the shortening of prompts, saving time and cutting costs. The article provides a step-by-step guide on how to fine-tune the ChatGPT 3.5 Turbo model, including formatting data into JSON, gathering examples, uploading examples, creating a fine-tuning job, and using the fine-tuned model. The cost of fine-tuning is divided into training cost and usage... read more >

The key insights from this article are that traditional degree requirements for hiring can limit opportunities for individuals from marginalized backgrounds, hinder economic growth and global competitiveness, stifle entrepreneurship, and decrease employee engagement and satisfaction. The article highlights the importance of skills-based hiring and states' role in driving this change. It mentions several states that have removed degree requirements for public sector jobs and emphasizes the need for collaboration among nonprofits, policymakers, businesses, educators, and community leaders to... read more >

The article discusses a framework for classifying customer support teams into four personality types based on the axes of "Simplicity" and "Activity." The "Simplicity" axis measures the complexity of support tickets, while the "Activity" axis measures the level of action or interaction required to resolve tickets. The four personality types are Knowledge Guardians, Enthusiastic Explorers, Thoughtful Analysts, and Complex Navigators. Each personality type has specific automation solutions and industries associated with them. The article emphasizes the importance of deploying generative AI... read more >

The key insights from these article sections are: - OpenAI has made changes to large language models (LLMs) like GPT3 to make them more responsive to human interaction, allowing them to be used as powerful, general-purpose information-processing tools. - These changes enable AI models like GPT3.5 and GPT4 to be used in a programming manner, using new data instead of training, making AI more of a general-purpose tool. - Generative AI, like GPT4, is probabilistic and predicts the probability of words and phrases based on input, making it flexible but also unpredictable. - Training LLMs involves...... read more >