Difference between revisions of "AI Solver"
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|keywords=ChatGPT, artificial, intelligence, machine, learning, GPT-4, GPT-5, NLP, NLG, NLC, NLU, models, data, singularity, moonshot, Sentience, AGI, Emergence, Moonshot, Explainable, TensorFlow, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Hugging Face, OpenAI, Tensorflow, OpenAI, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Meta, LLM, metaverse, assistants, agents, digital twin, IoT, Transhumanism, Immersive Reality, Generative AI, Conversational AI, Perplexity, Bing, You, Bard, Ernie, prompt Engineering LangChain, Video/Image, Vision, End-to-End Speech, Synthesize Speech, Speech Recognition, Stanford, MIT |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | |keywords=ChatGPT, artificial, intelligence, machine, learning, GPT-4, GPT-5, NLP, NLG, NLC, NLU, models, data, singularity, moonshot, Sentience, AGI, Emergence, Moonshot, Explainable, TensorFlow, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Hugging Face, OpenAI, Tensorflow, OpenAI, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Meta, LLM, metaverse, assistants, agents, digital twin, IoT, Transhumanism, Immersive Reality, Generative AI, Conversational AI, Perplexity, Bing, You, Bard, Ernie, prompt Engineering LangChain, Video/Image, Vision, End-to-End Speech, Synthesize Speech, Speech Recognition, Stanford, MIT |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | ||
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* [[AI Solver]] ... [[Algorithms]] ... [[Algorithm Administration|Administration]] ... [[Model Search]] ... [[Discriminative vs. Generative]] ... [[Train, Validate, and Test]] | * [[AI Solver]] ... [[Algorithms]] ... [[Algorithm Administration|Administration]] ... [[Model Search]] ... [[Discriminative vs. Generative]] ... [[Train, Validate, and Test]] | ||
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* ... automate processes; understand (semantic parsing) complete sentences, understanding synonyms of matching words, [[Sentiment Analysis]], or [[Speech Recognition]], (speech) translation ...[[Natural Language Processing (NLP)]] | * ... automate processes; understand (semantic parsing) complete sentences, understanding synonyms of matching words, [[Sentiment Analysis]], or [[Speech Recognition]], (speech) translation ...[[Natural Language Processing (NLP)]] | ||
* ... [[Reinforcement Learning (RL) |pathfinding]]; learn a series of actions; find the best/shortest route to an objective; win a game, traveling salesman problem ... [[Q Learning]], [[Deep Q Network (DQN)]] | * ... [[Reinforcement Learning (RL) |pathfinding]]; learn a series of actions; find the best/shortest route to an objective; win a game, traveling salesman problem ... [[Q Learning]], [[Deep Q Network (DQN)]] | ||
| − | * ... train [[Assistants]], [[Personal Companions]], or [[Agents]] | + | * ... train [[Assistants]], [[Personal Companions]], or [[Agents/Assistants|Agents]] |
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Revision as of 18:23, 18 September 2026
- AI Solver ... Algorithms ... Administration ... Model Search ... Discriminative vs. Generative ... Train, Validate, and Test
Aids in selecting a starting algorithm for your solution; at that point discover similar algorithms to see which works best for your task (and data) at hand.
Lets get going? I want to...
- ...detect patterns or relationships ... Correlation analysis or Time series analysis
- ...predict values/quantity/outcomes
- ...predict categories so I can classify each data point into a specific groups
- ...cluster data points to discover relationships and structure; find hidden structure
- ...make a Recommendation
- ...identify the most important features (attributes) or perform Dimensional Reduction
- ...find outliers; unusual points, anomaly detection
- ...find a Generative AI-type solution to identify the most plausible theory among competing explanations
- ... automate processes; understand (semantic parsing) complete sentences, understanding synonyms of matching words, Sentiment Analysis, or Speech Recognition, (speech) translation ...Natural Language Processing (NLP)
- ... pathfinding; learn a series of actions; find the best/shortest route to an objective; win a game, traveling salesman problem ... Q Learning, Deep Q Network (DQN)
- ... train Assistants, Personal Companions, or Agents
_____________________________________________________________________________________
- Algorithms & Neural Network Models to learn about approaches used to solve specific AI-related problems
- Model Search
- How to pick an algorithm | Willem Meints
- Model Mindmap | Mindmeister
- An easy guide to choose the right Machine Learning algorithm | Yogita Kinha - KDnuggets
- Everything you should know about AI models | Eray Eliaçık - Dataconomy
Microsoft Azure Studio Cheatsheet
- How to choose algorithms for Microsoft Azure Machine Learning | Microsoft
- Overview diagram of Azure Machine Learning Studio capabilities | Microsoft
- Models | Hugging Face ... click on Sort: Trending
Scikit Machine Learning Map
SAS
Notes
