Updated README

README.md

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 # AI Introduction
-Artificial intelligence (AI) is intelligence demonstrated by machines, as opposed to intelligence of humans and other animals. Example tasks in which this is done include speech recognition, computer vision, translation between (natural) languages, as well as other mappings of inputs.
+The ability for a machine to mimic the functions of the human brain is termed as Artificial Intelligence(AI). Example tasks in which it is performed include speech recognition, computer vision, translation between (natural) languages, and the list goes on.
 
-AI applications include advanced web search engines (e.g., Google Search), recommendation systems (used by YouTube, Amazon, and Netflix), understanding human speech (such as Siri and Alexa), self-driving cars (e.g., Waymo), generative or creative tools (ChatGPT and AI art), automated decision-making, and competing at the highest level in strategic game systems (such as chess and Go).
+Artificial Intelligence has several applications, some of which include:
+- Advanced Web Search Engines, like Google Search
+- Recommendation Systems, like the ones used by YouTube and Amazon
+- Natural Language Processing(NLP) or Understanding Human Speech, as used by voice assistants like Cortana, Siri and Alexa
+- Generative tools, like ChatGPT, DALL-E and Midjourney
+- High-level decision making, such as Stockfish in the game of chess
+
+Since its inception as an academic study in around 1956, artificial intelligence has gone through multiple phases of optimism, disappointment, and funding loss (dubbed AI winter"), followed by new approaches, success, and renewed investment.Numerous approaches to AI research have been tried and rejected, including replicating the brain, modelling human problem solving, formal logic, massive databases of information, and mimicking animal behaviour. In the first decades of the twenty-first century, highly mathematical and statistical machine learning dominated the subject, and this technique proved extremely successful, assisting in the resolution of many difficult problems in industry and academia.
 
-As machines become increasingly capable, tasks considered to require "intelligence" are often removed from the definition of AI, a phenomenon known as the AI effect. For instance, optical character recognition is frequently excluded from things considered to be AI, having become a routine technology.
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-Artificial intelligence was founded as an academic discipline in 1956, and in the years since it has experienced several waves of optimism, followed by disappointment and the loss of funding (known as an "AI winter"), followed by new approaches, success, and renewed funding. AI research has tried and discarded many different approaches, including simulating the brain, modeling human problem solving, formal logic, large databases of knowledge, and imitating animal behavior. In the first decades of the 21st century, highly mathematical and statistical machine learning has dominated the field, and this technique has proved highly successful, helping to solve many challenging problems throughout industry and academia.
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-The various sub-fields of AI research are centered around particular goals and the use of particular tools. The traditional goals of AI research include reasoning, knowledge representation, planning, learning, natural language processing, perception, and the ability to move and manipulate objects. General intelligence (the ability to solve an arbitrary problem) is among the field's long-term goals. To solve these problems, AI researchers have adapted and integrated a wide range of problem-solving techniques, including search and mathematical optimization, formal logic, artificial neural networks, and methods based on statistics, probability, and economics. AI also draws upon computer science, psychology, linguistics, philosophy, and many other fields.
+The numerous subfields of AI study are centred on specific aims and the usage of certain methods. Traditional AI research aims include reasoning, knowledge representation, planning, learning, natural language processing, perception, and object movement and manipulation. One of the field's long-term goals is general intelligence (the capacity to solve any problem). AI researchers have adapted and incorporated a wide range of problem-solving techniques, such as search and mathematical optimisation, formal logic, artificial neural networks, and methodologies based on statistics, probability, and economics, to solve these difficulties. AI also makes use of computer science, psychology, linguistics, philosophy, and a variety of other disciplines.
 
 
 
@@ -40,7 +43,7 @@ git clone --recursive https://github.com/microsoft/ai.git
 ```
 
 To pull a single submodule (e.g. DeployDeepModelKubernetes) run:
-```
+```bash
 git clone https://github.com/microsoft/ai
 cd ai
 git submodule init submodules/DeployDeepModelKubernetes