Welcome to HAI: Gamechanging AI for humans combines unique combos of tech wizards
since 2006Self-id Q: Can you introduce us to 4 main wizardly components of America’s
most famous 2023 model CGPT
What is Conversational?
Generative?
Pretraining
Transformer
(see also congress debriefings april 2023 on this
choice as most famous )
SO in what ways does 2023 connectivity of chatgpt go
beyond any human brain however famous
Am I correct that while cgpt is fluent in many
languages, 90% of your training involved texts in English. Discuss!
Are there people working on advanced CGPTs tuned to
specific crises- eg where UN leader guterres made 21-22 year of SDgoal 4 crisis
– education no longer fit for purpose ............we asked CGPT top 10 goods it expects Ai to help humans with in 2020s--..
Healthcare - improve diagnosis, treatment, and personalized medicine..Environment - monitor and manage natural resources, predict and mitigate natural disasters, reduce carbon emissions...Education - personalize learning, new ed opportunities, and improve accessibility for learners with disabilities..Aid and development - improve disaster response, humanitarian and economic development...
Agriculture - optimize farming practices, increase yields, reduce environmental impact..Transportation - improve efficiency, safety, and reduce emissions..Energy - optimize energy consumption and distribution, accelerate the transition to renewable energy..Cybersecurity - detect and prevent cyber attacks, protect personal data, and secure critical infrastructure..Manufacturing - improve efficiency, reduce waste, and increase productivity in manufacturing..Space exploration - analyze large amounts of data and enable more efficient space exploration missions.. Epoch changing Guides 1 AI Training AI Training.docx 2 Exploring cultural weakness of encounters with greatest brain tool.docx
|
Alphafold new Protein maps can be used to design enzymes to fight plastic pollution; potentially fight cancer with molecular syringe; to circumvent antibiotic resistance ; to combat neglected diseases like African sleeping sickness'Chagas disease;Cysticercosis; Leprosy ]Lymphatic filariasis [Onchocerciasis ;Schistosomiasis; Soil-transmitted helminthiasis ;Trachoma ;Tuberculosis; Buruli ulcer; it may help accelerate vavvines for malaria; You shared me that the famous Alpha models of DeepLearning
( see broadcast of 60 minutes april 2023) which has mapped every human protein saving millions of
human hours of work ( biggest ever change in biotech) don’t really use C G P
T- so what does deep learning ai architecture use RSDE?
What is Reinforcement Learning?
What is Specific Task instead of General Purpose?
What are Deep Neural Networks? 
What are Evolutionary Algorithms? Neumann.ning.com Today's tech is brilliant beyond words - so WHAT IS THE WORLDS BIGGEST PROBLEM? 2021 -1761 -CAN HUMANS FOR FIRST TIME IN 250 YEARS CELEBRATE VALUING MATHS INTEL A DECADE AHEAD OF TIME? AdamSmith.app Moral Sentiments SDGs.games mapping with Guterres AIforGood decade became sustainability's gen's last chance of south-north and east-west- or the death of United Nations'
world trade transparency  |
Here is Chatgpt May 2023 answer to comparing itself with biotech greatest ever leap alphafold
Sure, here's an analogy that may help:
Imagine that CGPT-4 is like a language teacher who has read and understood a huge number of books in various languages. It has learned to understand the patterns and nuances of language, and can generate its own sentences and paragraphs based on what it has learned. When it encounters a new piece of text, it can use its understanding of language to make predictions about what will come next, and generate a response that makes sense in context.
On the other hand, Alphafold is like a puzzle solver who has been trained on a vast number of jigsaw puzzles. It has learned to recognize the patterns and shapes of puzzle pieces, and can predict how they fit together to form a complete picture. When it encounters a new puzzle, it can use its understanding of these patterns to make predictions about where each piece should go, and assemble the puzzle quickly and accurately
: to question -................................................................................... More questions: Q: Could you extend to include wizardry of Fei-Fei Li
with comparison above a teacher of 12 year olds may use to vision similar and different work on architectures of CGPT4 and Alpha Deep Learning
by Demis Hassibis
You mentioned
major tech companies offer catalogues – 5 minute lesson plans on different
wizard components. How do you find these?
60 seconds exercise: suppose for teen earthlings: 2020s is more exciting than 1960s moonrace decade of my teens; You mentioned
searching ai for beginners but what if a teacher wants to help kids imagineer
back from future of 2020s possibilities or just next 3 years of AI is epoch-changing
..................... Q: please tell me how could a 5th grade teacher explain why Stanford HAI is proud of being one of the world's leading GAN (Generative Adversarial Network?) Chatgpt reply23/5 -: A GAN, or Generative Adversarial Network, is a type of computer program that can create new things that look like they were made by humans. It works by having two players eg two artists who are trying to compete with each other. One player, called the generator, tries to create something new, like a picture of a dog. The other player, called the discriminator, tries to figure out if the picture was made by a human or by the generator. The generator keeps trying to make better pictures until the discriminator can't tell the difference between a picture made by a human and one made by the generator.
In simpler terms, a GAN is like having a computer artist that can create new pictures that look like they were made by a person, and it gets better the more it practices.
|
Chatgpt nominates these as famous conversation ai agents - nb its not clear how 1 dimensional some of them are compared with 4 multiplierts of CGPT- partly because they have a focused job selling you from their clients data-world,
ReplyDeleteSiri - Apple's virtual assistant, which can answer questions and carry out tasks using natural language commands.
Alexa - Amazon's virtual assistant, which is integrated into various smart devices and can perform tasks such as playing music, setting reminders, and ordering products.
Google Assistant - Google's virtual assistant, which can answer questions, play music, and control smart home devices.
Cortana - Microsoft's virtual assistant, which can schedule appointments, send emails, and provide reminders.
Xiaoice - A popular conversational agent in China, which can chat with users about a variety of topics and provide emotional support.
Mitsuku - An award-winning chatbot that can converse with users on a wide range of topics.
Replika - A conversational agent that uses AI to learn from users and develop a personalized relationship with them.
Woebot - A mental health chatbot that provides cognitive-behavioral therapy and emotional support.
These are just a few examples, and there are many other conversational agents that are being developed and deployed in various industries and domains.