Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog – Page 2817

Today marks nine months since ChatGPT was released, and six weeks since we announced our AI Start seed fund. Based on our conversations with scores of inception and early-stage AI founders, and hundreds of leading CXOs (chief experience officers), I can attest that we are definitely in exuberant times.

In the span of less than a year, AI investments have become de rigueur in any portfolio, new private company unicorns are being created every week, and the idea that AI will drive a stock market rebound is taking root. People outside of tech are becoming familiar with new vocabulary.

Large language models. ChatGPT. Deep-learning algorithms. Neural networks. Reasoning engines. Inference. Prompt engineering. CoPilots. Leading strategists and thinkers are sharing their view on how it will transform business, how it will unlock potential, and how it will contribute to human flourishing.

Read more | >

To flourish, one must retain wonder throughout life. Formal education often beats wonder out of us by teaching us that learning is a chore. But learning and experiencing wonder, these represent among the greatest gifts life has to offer.

“While wandering down the path of wonder, I briefly escape the world of separation and enter the world of unity.”

Read more | >

Since its public launch last year, the artificially intelligent chatbot ChatGPT has simultaneously wowed and frightened the world with its deep knowledge, its surprising empathy, and its undeniable potential to change the world in unforeseen, possibly miraculous or calamitous, ways. Now, it’s making it possible to digitally resurrect the dead in the form of chatbots trained on data of the deceased.

Developed by OpenAI, ChatGPT is an AI program called a large language model. Trained on more than 300 billion words from all sorts of sources on the Internet, ChatGPT responds to prompts from humans by predicting the word it should use next based on both its training and the prompt. The result is a stream of communication that’s both informative and human-like. ChatGPT has passed difficult tests, written scientific papers, and convinced many Microsoft scientists that it actually can understand language and utilize reason.

ChatGPT and other large language models can also receive more specific training to shape their responses. Programmer Jason Rohrer realized that he can create chatbots that emulate specific people by feeding ChatGPT examples of how they communicate and details of their lives. He started off with Star Trek’s Mr. Spock, as any good nerd would. He next launched a website called Project December, which allows paying customers to input all sorts of data and information and make their own personalized chatbots, even ones based upon deceased friends and family.

Read more | >

At 14, Anton received an old laptop that changed everything. Now he’s using AI to help himself and others achieve their potential.

Neither keyboards nor voice-to-text work well for Anton, a developer with cerebral palsy. He uses AI and LLMs to pursue his passion for programming and shows others how they can harness these technologies to accomplish more.

Read more | >

This talks about the changing dynamics of jobs and relation to AI. While there are a lot of apprehensions of AI killing jobs but it highlights that there are several new jobs being created by AI. It also stresses the need for professionals and students to reskill themselves in areas as diverse as AI and automation. So the argument that AI is going to kill jobs is not valid. Instead it enforces the argument that reskilling is most important.

LinkedIn: https://www.linkedin.com/in/tarah-ai-8316b7153/
Twitter: https://twitter.com/tarahtech.

#reskilling #AI #Automation #jobs #newskills #oldskills #reinvention #humanresources.
#AI #DeepLearning #ReinforcementLearning #MachineLearning #ML #DL #DataScience #ArtificialIntelligence #Classification #Jobs #Regression #Clustering #Intelligence #Learn #Intelligence #Knowledge #LearnFromHome #BI #BA #Analytics #Insights #Visualization #Graphs #Robots #Speech #BackPropagation #CNN #RNN #LSTM #NeuralNetworks #Network #Prediction #BigData #Hadoop

Read more | >

In this video, I show you how to fine-tune ChatGPT 3.5 Turbo. This newly released fine-tuning feature lets you customize ChatGPT to your exact needs. Plus, I show you the easiest way to generate fine-tuning datasets, which is always the most challenging part of fine-tuning.

Enjoy!

Become a Patron 🔥 — https://patreon.com/MatthewBerman.
Join the Discord 💬 — https://discord.gg/xxysSXBxFW
Follow me on Twitter 🧠 — https://twitter.com/matthewberman.
Follow me on TikTok 👋 — https://www.tiktok.com/@matthewberman60

Links:

Continue reading “How To Fine-Tune ChatGPT (NO CODE)” | >

The complexity and rise of data in healthcare means that artificial intelligence (AI) will increasingly be applied within the field. Several types of AI are already being employed by payers and providers of care, and life sciences companies. The key categories of applications involve diagnosis and treatment recommendations, patient engagement and adherence, and administrative activities. Although there are many instances in which AI can perform healthcare tasks as well or better than humans, implementation factors will prevent large-scale automation of healthcare professional jobs for a considerable period. Ethical issues in the application of AI to healthcare are also discussed.

KEYWORDS: Artificial intelligence, clinical decision support, electronic health record systems.

Artificial intelligence (AI) and related technologies are increasingly prevalent in business and society, and are beginning to be applied to healthcare. These technologies have the potential to transform many aspects of patient care, as well as administrative processes within provider, payer and pharmaceutical organisations.

Read more | >