Friday, 8 December 2023

Gemini AI

Gemini AI is a large language model (LLM) chatbot developed by Google AI. It is still under development, but it has already learned to perform many kinds of tasks, including

I will try my best to follow your instructions and complete your requests thoughtfully. I will use my knowledge to answer your questions in a comprehensive and informative way, even if they are open ended, challenging, or strange. I will generate different creative text formats, like poems, code, scripts, musical pieces, email, letters, etc. I will try my best to fulfill all your requirements. 

Gemini AI is built on a massive dataset of text and code, and it is able to access and process information from the real world through Google Search. This allows it to provide comprehensive and informative answers to a wide range of questions.

Gemini AI is still under development, but it has the potential to revolutionize the way we interact with computers. It could be used to create more personalized and engaging experiences, and it could even be used to automate tasks that are currently performed by humans.

Here are some examples of how Gemini AI could be used:

It could be used to create a more personalized learning experience for students. For example, it could provide personalized feedback on assignments, or it could generate practice problems that are tailored to each student's individual needs. It could be used to create more engaging and informative customer service experiences. For example, it could answer customer questions in a more natural and conversational way, or it could provide personalized recommendations for products or services. It could be used to automate tasks that are currently performed by humans. For example, it could write reports, generate creative content, or even provide customer support. 

Gemini AI is still in its early stages of development, but it has the potential to have a major impact on the way we interact with computers. As it continues to develop, it is likely to become even more powerful and versatile.


Monday, 27 November 2023

Phi mesons

 "phi mesons" 
Phi mesons are a type of meson, which is a category of subatomic particles. Specifically, phi mesons are vector mesons, and they are denoted by the symbol ╧Ж.

Here are some key points about phi mesons:

1. **Quark Composition:**
   - Phi mesons are composed of a strange quark and an anti-strange quark.

2. **Mass and Lifetime:**
   - The phi meson has a mass of approximately 1.02 GeV/c² (gigaelectronvolts per speed of light squared).
   - The lifetime of a phi meson is relatively short, typically on the order of 1.5 x 10^(-22) seconds.

3. **Decay Modes:**
   - Phi mesons can decay into other particles through various decay modes. One common decay mode is the decay into a kaon and an anti-kaon.

4. **Role in Particle Physics:**
   - Phi mesons play a role in the study of the strong force, one of the fundamental forces in particle physics. They are involved in interactions mediated by the strong force, which binds quarks together to form hadrons.

5. **Discovery:**
   - The discovery of phi mesons was a significant achievement in experimental particle physics. They were first observed in experiments in the 1960s.

Phi mesons are part of the broader study of particle physics, contributing to our understanding of the fundamental building blocks of matter and the forces that govern their interactions. If you have more specific questions about phi mesons or particle physics, feel free to ask!

Is AI will conquer on humans?

The idea of artificial intelligence (AI) conquering or surpassing humans often invokes scenarios from science fiction, where intelligent machines rebel against their creators. In reality, the relationship between AI and humans is complex, and the concept of AI "conquering" humans is not a straightforward prediction.

AI is a powerful tool that has made significant advancements in various fields. While AI systems can perform specific tasks at or above human levels in certain domains, general artificial intelligence—where machines possess human-like cognitive abilities across a broad range of tasks—remains a goal and has not been achieved.

Several factors contribute to the complexity of the AI-human relationship:

1. **Ethical Considerations:**
   - Ethical frameworks and guidelines are being developed to ensure responsible AI development and use. Ethical considerations include transparency, fairness, accountability, and avoiding harm.

2. **Human Oversight:**
   - AI systems are designed, implemented, and controlled by humans. The importance of human oversight in AI development is recognized to prevent undesirable outcomes and biases.

3. **Collaboration:**
   - The prevailing view in AI research is one of collaboration between humans and machines. AI systems are designed to augment human capabilities rather than replace them entirely.

4. **Regulations:**
   - Governments and organizations are working on regulations to govern the ethical and responsible use of AI. These regulations aim to address concerns related to privacy, security, and potential misuse of AI technologies.

5. **Technical Challenges:**
   - Achieving general artificial intelligence, where machines can perform a wide range of tasks at a human level, remains a significant technical challenge. AI systems are often specialized for specific tasks.

Predicting the future development of AI is inherently uncertain. While AI has the potential to bring about transformative changes, the responsible development and deployment of AI technologies, guided by ethical considerations and regulations, aim to ensure a positive impact on society.

It's crucial for society to remain vigilant, engage in ongoing discussions about the ethical implications of AI, and actively shape the future of AI to align with human values and well-being.

The "Blue Whale Game"

The "Blue Whale Game" refers to a controversial and widely debunked internet hoax that claimed the existence of a dangerous online game encouraging self-harm and ultimately leading to suicide. The hoax gained attention in 2016, and various media outlets reported on it, contributing to widespread panic and concern among parents and communities.

The alleged Blue Whale Game was described as a series of tasks or challenges given to participants over a 50-day period. These tasks were said to escalate in severity, with the final challenge being to take one's own life. The term "Blue Whale" was claimed to be a reference to the phenomenon of whales beaching themselves, an inaccurate analogy suggesting a correlation between the game and self-destructive behavior.

It's important to note that there is no credible evidence supporting the existence of the Blue Whale Game as described in the rumors. Investigations by authorities and fact-checking organizations found no verifiable cases directly linked to the game. The concept of the Blue Whale Game appears to have originated as a form of online sensationalism, and there's no evidence that it posed a real threat.

However, the widespread dissemination of information about the Blue Whale Game raised awareness about the importance of online safety, mental health, and responsible internet use. It serves as a reminder to approach online information critically and to promote open communication with individuals, especially younger ones, about their online activities and well-being.

Thursday, 2 November 2023

Revolutionary Quantum Computers Technology

Designing and building advanced quantum computers, as well as creating specialized libraries for them, is a complex and cutting-edge endeavor. Quantum computing is an emerging field with its own unique challenges and requirements, and it's distinct from classical computing. Here are some key points to consider:



1. **Quantum Computing Hardware**: Building quantum computers is highly specialized and requires expertise in quantum physics, quantum circuit design, and the development of quantum gates and qubits. You would need to collaborate with experts in this field to design and build the hardware.

2. **Quantum Software Development**: Quantum computing programming languages like Qiskit (for IBM Quantum) or Cirq (for Google Quantum) are used to develop quantum algorithms. You'll need to learn and use these languages to create software for your quantum computer.

3. **Quantum Libraries**: Building quantum libraries involves creating quantum algorithms and quantum gates that can be reused in different quantum programs. These libraries will be different from traditional data structure libraries and are highly specialized for quantum computing.

4. **Integration**: Integrating your quantum libraries into the quantum computer's software environment will depend on the platform or framework you're using. Most quantum computing platforms provide ways to include custom libraries or modules in your quantum programs.

5. **Distribution**: To make your libraries available for others to use, you might consider packaging them as open-source software and distributing them through platforms like GitHub or specialized quantum computing repositories. Users can then install and use your libraries as needed.


6. **Testing and Validation**: Quantum computing involves complex mathematical and quantum physics principles. Rigorous testing and validation of your hardware and software are essential to ensure the accuracy and reliability of your quantum computer.

7. **Quantum Error Correction**: Quantum computers are susceptible to errors due to factors like decoherence and noise. Implementing error correction codes is critical for practical quantum computing. You would need to work on error correction techniques and libraries as well.

8. **Scalability**: Consider the scalability of your quantum computer and software. As quantum computers increase in size and complexity, your design should accommodate growth and new technological developments.

9. **Interfacing with Classical Computers**: Quantum computers are often used in combination with classical computers. Developing interfaces and protocols for communication between quantum and classical components is crucial.

10. **Security**: Quantum computing also has implications for cryptography. Consider the security implications and applications of your quantum computer, as it can potentially break certain encryption methods.


To bind a library to a quantum computer, you will need to:

Make sure the library is compatible with the quantum computer's architecture and programming language.Write a compiler or transpiler to convert the library's code to the quantum computer's machine code.Install the compiled library on the quantum computer.

Compatibility

The first step is to make sure the library is compatible with the quantum computer's architecture and programming language. For example, a library written in Python will not be compatible with a quantum computer that only supports a quantum programming language like Qiskit or Cirq.

Compiler/Transpiler

Once you have confirmed that the library is compatible, you will need to write a compiler or transpiler to convert the library's code to the quantum computer's machine code. This is necessary because quantum computers use a different programming paradigm than traditional computers.


Installation

Once the library has been compiled, you can install it on the quantum computer. This process will vary depending on the specific quantum computer. For example, to install a library on a Rigetti Quantum Cloud quantum computer, you would use the Rigetti Python SDK.

Example

Here is an example of how to bind a library to a quantum computer:
"
# Import the necessary libraries import numpy as np import cirq 
# Define a function to create a Bell state def create_bell_state(): 
# Create two qubits qubit_0 = cirq.LineQubit(0) qubit_1 = cirq.LineQubit(1) # Apply a Hadamard gate to qubit 0 circuit = cirq.Circuit() circuit.append(cirq.H(qubit_0)) # Apply a CNOT gate from qubit 0 to qubit 1 circuit.append(cirq.CNOT(qubit_0, qubit_1)) 
# Return the circuit return circuit 
# Compile the circuit circuit = create_bell_state() compiled_circuit = cirq.optimize_for_target(circuit, cirq.google.Sycamore) 
# Install the circuit on the quantum computer cirq.Simulator().run(compiled_circuit) 
"
This example shows how to bind a library (in this case, the Cirq library) to a quantum computer to create a Bell state.


Data structures

To install a new version of a data structure in a quantum computer, you will need to follow the same steps as above. However, you will also need to make sure that the data structure is compatible with the quantum computer's architecture and programming language.

Conclusion

Binding a library to a quantum computer is a complex process, but it is necessary to use libraries on quantum computers. By following the steps above, you can bind libraries to quantum computers and import them into your programs.


Keep in mind that building quantum computers and software libraries is a highly specialized field and typically requires collaboration with experts and organizations dedicated to quantum technology. It's also important to stay updated with the latest developments in quantum computing, as the field is rapidly evolving.


Friday, 22 September 2023

рдирдоो рд╢ेрддрдХрд░ी рдпोрдЬрдиा

рдирдоो рд╢ेрддрдХрд░ी рдпोрдЬрдиा рд╣ी рдорд╣ाрд░ाрд╖्рдЯ्рд░ рд╕рд░рдХाрд░рдЪी рдПрдХ рдпोрдЬрдиा рдЖрд╣े рдЬी рд╢ेрддрдХрд▒्рдпांрдиा рдЖрд░्рдеिрдХ рд╕рд╣ाрдп्рдп рджेрдг्рдпाрд╕ाрдаी рд╕ुрд░ू рдХрд░рдг्рдпाрдд рдЖрд▓ी рдЖрд╣े. рдпा рдпोрдЬрдиेрдЕंрддрд░्рдЧрдд, рдк्рд░рдд्рдпेрдХ рд╢ेрддрдХрд▒्рдпाрд▓ा рдк्рд░рддि рд╣ेрдХ्рдЯрд░ी ₹2,000 рдЪी рд░рдХ्рдХрдо рджिрд▓ी рдЬाрддे. рд╣ी рд░рдХ्рдХрдо рдеेрдЯ рд╢ेрддрдХрд▒्рдпांрдЪ्рдпा рдмँрдХ рдЦाрдд्рдпाрдд рдЬрдоा рдХेрд▓ी рдЬाрддे.



рдирдоो рд╢ेрддрдХрд░ी рдпोрдЬрдиेрдЪे рдЙрдж्рджिрд╖्рдЯ рд╢ेрддрдХрд▒्рдпांрдиा рдд्рдпांрдЪ्рдпा рдЖрд░्рдеिрдХрджृрд╖्рдЯ्рдпा рдХрдаीрдг рдХाрд│ाрдд рдорджрдд рдХрд░рдгे рдЖрд╣े. рдпा рдпोрдЬрдиेрдоुрд│े рд╢ेрддрдХрд▒्рдпांрдиा рдд्рдпांрдЪ्рдпा рд╢ेрддीрдЪ्рдпा рдЦрд░्рдЪाрд╕ाрдаी рдкैрд╕े рдоिрд│рддीрд▓ рдЖрдгि рдд्рдпांрдиा рдЖрд░्рдеिрдХ рд╕्рдеैрд░्рдп рдоिрд│ेрд▓.

рдирдоो рд╢ेрддрдХрд░ी рдпोрдЬрдиेрд╕ाрдаी рдкाрдд्рд░рддा рдиिрдХрд╖ рдЦाрд▓ीрд▓рдк्рд░рдоाрдгे рдЖрд╣ेрдд:

рд╢ेрддрдХрд░ी рдорд╣ाрд░ाрд╖्рдЯ्рд░ाрдЪा рд░рд╣िрд╡ाрд╕ी рдЕрд╕ाрд╡ा. рд╢ेрддрдХрд▒्рдпाрдЪी рдЬрдоीрди рдЕрд╕ाрд╡ी. рд╢ेрддрдХрд▒्рдпाрдиे рдЧेрд▓्рдпा рд╡рд░्рд╖ी рдкीрдХ рдШेрддрд▓े рдЕрд╕ाрд╡े. 

рдирдоो рд╢ेрддрдХрд░ी рдпोрдЬрдиेрд╕ाрдаी рдЕрд░्рдЬ рдХрд░рдг्рдпाрд╕ाрдаी, рд╢ेрддрдХрд▒्рдпाрдиे рдЖрдкрд▓्рдпा рдЬिрд▓्рд╣्рдпाрддीрд▓ рдХृрд╖ी рд╡िрднाрдЧ рдХाрд░्рдпाрд▓рдпाрдд рдЬाрд╡े. рдЕрд░्рдЬрджाрд░ाрд▓ा рдЖрдкрд▓्рдпाрд╕ोрдмрдд рдЦाрд▓ीрд▓ рдХाрдЧрджрдкрдд्рд░े рдШेрдКрди рдЬाрд╡ी рд▓ाрдЧрддीрд▓:

рдЖрдзाрд░ рдХाрд░्рдб рдорддрджाрд░ рдУрд│рдЦрдкрдд्рд░ рд╢ेрддрдХрд░ी рдЖрдвाрд╡ा рдкрдд्рд░ рд╢ेрддी рдкिрдХाрдЪी рдиोंрджрдгी 


рдирдоो рд╢ेрддрдХрд░ी рдпोрдЬрдиेрдЪा рд▓ाрдн рдШेрдг्рдпाрд╕ाрдаी, рд╢ेрддрдХрд▒्рдпाрдиे 15 рдЬूрди рдкрд░्рдпंрдд рдЕрд░्рдЬ рдХрд░ाрд╡ा.

рдирдоो рд╢ेрддрдХрд░ी рдпोрдЬрдиेрдЪा рд▓ाрдн рдоिрд│ाрд▓्рдпाрдиे рд╢ेрддрдХрд▒्рдпांрдиा рдд्рдпांрдЪ्рдпा рд╢ेрддीрдЪ्рдпा рдЦрд░्рдЪाрд╕ाрдаी рдкैрд╕े рдоिрд│рддीрд▓ рдЖрдгि рдд्рдпांрдиा рдЖрд░्рдеिрдХ рд╕्рдеैрд░्рдп рдоिрд│ेрд▓. рдпा рдпोрдЬрдиेрдоुрд│े рд╢ेрддрдХрд▒्рдпांрдЪे рдЙрдд्рдкрди्рди рд╡ाрдврдг्рдпाрд╕ рдорджрдд рд╣ोрдИрд▓ рдЖрдгि рдЧ्рд░ाрдоीрдг рднाрдЧाрддीрд▓ рдЕрд░्рдерд╡्рдпрд╡рд╕्рдеा рдордЬрдмूрдд рд╣ोрдИрд▓.

рдирдоो рд╢ेрддрдХрд░ी рдпोрдЬрдиेрдЪी рдХाрд╣ी рд╡ैрд╢िрд╖्рдЯ्рдпे рдЦाрд▓ीрд▓рдк्рд░рдоाрдгे рдЖрд╣ेрдд:

рд╣ी рдпोрдЬрдиा рдорд╣ाрд░ाрд╖्рдЯ्рд░ाрддीрд▓ рд╕рд░्рд╡ рд╢ेрддрдХрд▒्рдпांрд╕ाрдаी рдЦुрд▓ी рдЖрд╣े. рдпा рдпोрдЬрдиेрдЕंрддрд░्рдЧрдд, рдк्рд░рдд्рдпेрдХ рд╢ेрддрдХрд▒्рдпाрд▓ा рдк्рд░рддि рд╣ेрдХ्рдЯрд░ी ₹2,000 рдЪी рд░рдХ्рдХрдо рджिрд▓ी рдЬाрддे. рд╣ी рд░рдХ्рдХрдо рдеेрдЯ рд╢ेрддрдХрд▒्рдпांрдЪ्рдпा рдмँрдХ рдЦाрдд्рдпाрдд рдЬрдоा рдХेрд▓ी рдЬाрддे. рдпा рдпोрдЬрдиेрдЪा рд▓ाрдн рдШेрдг्рдпाрд╕ाрдаी, рд╢ेрддрдХрд▒्рдпाрдиे 15 рдЬूрди рдкрд░्рдпंрдд рдЕрд░्рдЬ рдХрд░ाрд╡ा. 



Saturday, 2 September 2023

рдЕрдХाрд│рдорд░рдг: рдЕрди्рдиाрдЪ्рдпा рдЕрднाрд╡ाрдЪा рдХाрдЯोрдкाрдд

For more information 
Article on "Starvation" in Marathi:

**рдЕрдХाрд│рдорд░рдг: рдЕрди्рдиाрдЪ्рдпा рдЕрднाрд╡ाрдЪा рдХाрдЯोрдкाрдд**

**рдк्рд░рд╕्рддाрд╡рдиा:**

рдоाрдгрд╕ांрдЪ्рдпा рдЖрд╡рд╢्рдпрдХ рдЖрд╣ाрд░ाрдЪी рдХрдорддрд░рддा рд╣े рд╡िрд╢्рд╡ाрдЪ्рдпा рдХाрд╣ी рднाрдЧांрдд рд╕рддрдд рд╕рдорд╕्рдпा рдЖрд╣े. рдЕрдХाрд│рдорд░рдг рд╣्рдпा рд╕рдорд╕्рдпेрдЪा рдЕрдд्рдпंрдд рдЧंрднीрд░ рдЖрдгि рдЪिंрддाрдЬрдирдХ рдк्рд░рдХाрд░ рдЖрд╣े. рдпाрд╕ाрдаी рдЖрдкрд▓्рдпाрд▓ा рдЕрдХाрд│рдорд░рдгाрдЪ्рдпा рдХाрд░рдгांрдЪ्рдпा, рдкрд░िрдгाрдоांрдЪ्рдпा, рдЖрдгि рдЙрдкाрдпांрдЪ्рдпा рдмрджрд▓рд▓्рдпा рдкाрд╣िрдЬे.

**рдЕрдХाрд│рдорд░рдг рдХाрдп рдЖрд╣े?**

рдЕрдХाрд│рдорд░рдг рд╣्рдпा рд╢рдм्рджाрдЪा рдЕрд░्рде рдЕрд╢िрд╡ाрдп рдЕрд╕рд▓ेрд▓ा рдорд░рдг рдЖрд╣े. рдЖрдкрд▓्рдпा рд╢рд░ीрд░ाрд╕ рдЖрд╡рд╢्рдпрдХ рдЖрд╣ाрд░ाрдЪी рдХрдорддрд░рддा рдЕрд╕рд▓्рдпाрдоुрд│े рд╢рд░ीрд░ाрдЪ्рдпा рдХ्рд░िрдпांрдЪा рд╡ाрдврдд्рдпा рдЬाрддाрдд. рдд्рдпाрдоुрд│े рд╢рд░ीрд░ рдЖрдкрд▓्рдпाрд▓ा рд╕ंрдкूрд░्рдгрдкрдгे рдХिंрд╡ा рдЕंрд╢рдд: рдЕрдХाрд│рдорд░рдгाрдЪ्рдпा рдХाрд░рдгाрдоुрд│े рдк्рд░рднाрд╡िрдд рд╣ोрддो.

рдЕрдХाрд│рдорд░рдгाрдЪ्рдпा рдХाрд░рдгांрдЪे рдк्рд░рдоुрдЦ рдЖрдгि рд▓ोрдХрдк्рд░िрдп рдХाрд░рдг:
1. рднूрдЦрдорд░рдг: 
рдЦाрдг्рдпाрдЪ्рдпा рдЙрдкрд▓рдм्рдзрддेрдЪ्рдпा рдЕрднाрд╡ाрдоुрд│े рд╣ोрдгाрд░ा рдЕрдХाрд│рдорд░рдг.
2. рд░ोрдЬрдЧाрд░ाрдЪ्рдпा рдЕрднाрд╡ाрдоुрд│े:
рдХाрдоी рдЙрдд्рдкाрджрдирд╢ीрд▓рддा, рдЕрдзिрдХ рдмेрд░ोрдЬрдЧाрд░ी, рдЖрдгि рдиोрдХрд░ीрд╕ाрдаी рд╕ाрдХाрд░рдг्рдпाрдЪ्рдпा рд╡िрдХрд▓्рдкांрдЪ्рдпा рдЕрднाрд╡ाрдоुрд│े рдХाрд╣ी рд▓ोрдЧ рдЕрдХाрд│рдорд░рдгाрдЪ्рдпा рдк्рд░рдХोрдкाрдордз्рдпे рдкрдбрддाрдд.
3. рд╡ाрддाрд╡рд░рдгिрдХ рдкрд░िрд╕्рдеिрддी:
рдк्рд░ाрджुрд░्рднाрд╡िрдХ рдЕрд╢ी рдоौрд╕рдоाрдЪी рдЖрдгि рдЖрдкрджा рдЕрдХाрд│рдорд░рдгाрдЪ्рдпा рдХाрд░рдгांрдордз्рдпे рдЖрд╣े.
4. рд░ोрдЬрдЧाрд░ाрдЪ्рдпा рдЕрдЪाрдирдХ рдХ्рд╖рдгाрдЪ्рдпा рд╣ाрдиी:
рд╡्рдпрд╡ाрд╕ाрдпिрдХ рдХ्рд╖ेрдд्рд░ाрдд рдЕрдЪाрдирдХ рдХ्рд╖рдгाрдЪ्рдпा рд╣ाрдиीрд╕ाрдаी рдЕрдХाрд│рдорд░рдгाрдЪ्рдпा рдЦрддрд░्рдпाрдЪ्рдпा рдЕрдзिрдХ рд▓ोрдХ рдЖрд╣ेрдд.

рдЕрдХाрд│рдорд░рдгाрдЪ्рдпा рдк्рд░рднाрд╡ाрдЪी рджिрд╢ा:

-рдЖрд░ोрдЧ्рдпाрдЪी рдЪुрдХ:
 рдЕрдХाрд│рдорд░рдгाрдЪ्рдпा рдХाрд░рдгाрдоुрд│े рдЖрдкрд▓्рдпाрд▓ा рд╕ंрдШрдЯрдиेрдЪी рдЖрдгि рдЖрдд्рдоा рд╕ंрдШрдЯрдиेрдЪी рдХाрд│рдЬी рдЖрд▓ी рдкाрд╣िрдЬे.
- рд╡िрдХाрд╕ाрдЪी рд╡ाрдШाрдЪी рд░ुрдкे:
рдЕрдХाрд│рдорд░рдгाрдЪ्рдпा рдХाрд░рдгाрдоुрд│े рд╡ाрдпрд░рд▓े рдЖрдгि рдЙрдд्рддेрдЬрдиाрдЪ्рдпा рдЙрдкाрдпांрдоुрд│े рдЖрдкрд▓्рдпा рд╢рд░ीрд░ाрдЪी рд╡िрдХाрд╕ाрдЪी рд╡ाрдШाрдЪी рд░ुрдкे рд╣ोрдК рд╢рдХрддाрдд.
- рд╢िрдХ्рд╖рдг рдЖрдгि рд╡िрдХाрд╕:
 рдЕрдХाрд│рдорд░рдгाрдЪ्рдпा рдХाрд░рдгाрдоुрд│े рд╡िрдж्рдпाрд░्рде्рдпांрдЪ्рдпा рд╢िрдХ्рд╖рдгाрдЪ्рдпा рдЖрдгि рд╡िрдХाрд╕ाрдЪ्рдпा рдЕрдзिрдХ рд░ुрдкे рд╣ोрдК рд╢рдХрддाрдд.

рдЕрдХाрд│рдорд░рдг рдкрд░िрд╕्рдеिрддी рд╡ाрдврд▓्рдпाрд╕:

рдЕрдХाрд│рдорд░рдгाрдЪ्рдпा рдХाрд░рдгाрдоुрд│े рд╕рдоाрдЬाрддीрд▓ рд╕ंрд░рдХ्рд╖рдг, рд╕рд╣ाрдп्рдп, рдЖрдгि рд╕ाрдоाрдЬिрдХ рд╕ंрд░рдХ्рд╖рдг рдХाрдоाрдиे рдЖрд╡рд╢्рдпрдХ рдЖрд╣े. рд╕рд░рдХाрд░ी рдЖрдгि рдЧैрд░рд╕рд░рдХाрд░ी рд╕ंрд╕्рдеांрдордз्рдпे рдЕрдХाрд│рдорд░рдгाрдЪ्рдпा рдХाрд░рдгाрдоुрд│े рдЖрдкрд▓्рдпाрд▓ा рд╕рд╣ाрдп्рдп рдХрд░рдг्рдпाрдЪे рдХाрд░्рдпрдХ्рд░рдо рд╕ुрд░ू рдХेрд▓े рдЖрд╣े. рдЕрд╕े рдХाрд░्рдпрдХ्рд░рдо рд╕ंрдкाрджिрдд рдХрд░рдг्рдпाрдЪी рдЕрдзिрдХ рдЖрд╡рд╢्рдпрдХрддा рдЖрд╣े рдЖрдгि рд╕рд░рдХाрд░, рд╕ाрдоाрдЬिрдХ рд╕ंрд╕्рдеांрдЪ्рдпा рд╕ाрдеींрдЪ्рдпा рд╕рд╣ाрдп्рдпाрдЪी рдЖрд╡рд╢्рдпрдХрддा рдЖрд╣े.


рдЕрдХाрд│рдорд░рдгाрдЪ्рдпा рд░ोрдЦ рд╡ рдЙрдкाрдп:

1. рдЕрд╣рд░्рдиिрд╢:
рдЕрдХाрд│рдорд░рдгाрдЪ्рдпा рдЖрдкрд▓्рдпा рд╕рдоाрдЬाрддीрд▓ рд╕рджрд╕्рдпांрд╕ рдЖрд╣рд░рдг्рдпाрдЪी рд╕ुрдЪрдиा рдкोрд╣рдЪрд╡ा рдЖрдгि рдд्рдпाрдЪ्рдпाрд╕ाрдаी рдорджрддीрдЪ्рдпा рдХाрдоाрдиाрдЪी рддрдпाрд░ी рдХрд░ा.
2. рд╢िрдХ्рд╖рдг: 
рд▓ोрдХांрдиा рдЕрдХाрд│рдорд░рдгाрдЪ्рдпा рдХाрд░рдгाрдоुрд│े рдЕрд╕рдгाрд▒्рдпा рд╡िрдкрдд्рддिंрдЪ्рдпा рдЬाрдгीрд╡ рджेрдг्рдпाрд╕ाрдаी рд╢िрдХ्рд╖рдг рдХाрд░्рдпрдХ्рд░рдо рд╕ुрд░ू рдХрд░ा.
3. рдЬрд▓рд╡ाрдпु рдЕрдерд╡ा рдк्рд░ाрджुрд░्рднाрд╡िрдХ рдкрд░िрд╕्рдеिрддीрдЪे рдиिрдпंрдд्рд░рдг:
 рдЕрдХाрд│рдорд░рдгाрдЪ्рдпा рдк्рд░рдоुрдЦ рдХाрд░рдгाрдоुрд│े рдЖрдкрд▓्рдпा рдХ्рд╖ेрдд्рд░ाрдЪ्рдпा рдк्рд░ाрджुрд░्рднाрд╡िрдХ рдкрд░िрд╕्рдеिрддीрдЪ्рдпा рдиिрдпंрдд्рд░рдгाрдЪ्рдпा рдХाрдоाрдиाрдЪी рддрдпाрд░ी рдХрд░ा.
4. рд╡िрд╡िрдз рдпोрдЬрдиांрдЪे рдк्рд░рдоुрдЦांрд╕рдорд╡ेрдд рдЖрдгि рд╕ुрд╕ंрдЧрддीрдд:
 рд╕рд░рдХाрд░, рд╕ाрдоाрдЬिрдХ рд╕ंрд╕्рдеा, рдЖрдгि рд╡िрднाрдЧाрдЪ्рдпा рд╕рд╣рдХाрд░्рдпाрдиे рд╡िрд╡िрдз рдпोрдЬрдиांрдЪे рдк्рд░рдоुрдЦांрд╕рдорд╡ेрдд рдЖрдгि рд╕ुрд╕ंрдЧрддीрдд рдХाрдо рдХрд░рдг्рдпाрдЪी рддрдпाрд░ी рдХрд░ा.
5. рд╕рдоाрдЬ рдЬाрдЧрд░ूрдХी: 
рд▓ोрдХांрдиा рдЕрдХाрд│рдорд░рдгाрдЪ्рдпा рдХाрд░рдгाрдоुрд│े рд╡िрдкрдд्рддिंрдЪ्рдпा рдЬाрдгीрд╡ рджेрдг्рдпाрд╕ाрдаी рд╕рдоाрдЬाрдд рдЬाрдЧрд░ूрдХ рдХрд░рдг्рдпाрдЪे рдХाрдо рдХрд░ा.
рдиिрд╖्рдХрд░्рд╖:

рдЕрдХाрд│рдорд░рдг рд╣्рдпा рд╕рдорд╕्рдпेрдЪ्рдпा рдкрд░िрдгाрдоाрдЪ्рдпा рдЕрдд्рдпंрдд рдЧंрднीрд░ рдк्рд░рдХाрд░ рдЖрд╣े рдЖрдгि рддी рд╕рдоाрдЬाрд▓ा рдд्рдпाрдЪ्рдпा рджुрдЦрдж рдкрд░िрдгाрдоांрдкाрд╕ूрди рдЬрдмाрдмрджाрд░ рдЖрд╣े. рдЖрдкрд▓्рдпा рд╕рдоाрдЬाрддीрд▓ рд╕рджрд╕्рдпांрдЪ्рдпा рдЬीрд╡рдиाрдЪ्рдпा рд╕ुрдзाрд░рдг्рдпाрддीрд▓ рд╕рд╣ाрдп्рдп рдЖрд╡рд╢्рдпрдХ рдЖрд╣े, рдЖрдгि рд╕рдоाрдЬाрдЪ्рдпा рддрдкाрд╕рдгीрд╕ाрдаी рддрд╕ेрдЪ рд╡िрд╡िрдз рд╕рд░рдХाрд░ी рдЖрдгि рдЧैрд░рд╕рд░рдХाрд░ी рдк्рд░рдоुрдЦांрдиी рд╕ाрде рджिрд▓ंрдп.

рдЖрдкрд▓्рдпा рд╕рдоाрдЬाрддीрд▓ рдЕрд╕рд▓ेрд▓्рдпा рд▓ोрдХांрдиा рд╕рд░्рд╡ोрдд्рддрдо рдЖрд╣ाрд░, рд╢िрдХ्рд╖рдг, рдЖрдгि рд╕ाрдоाрдЬिрдХ рд╕ंрд░рдХ्рд╖рдг рдкुрд░рд╡िрдг्рдпाрдЪ्рдпा рдХाрдоाрдиेрдЪी рдЖрдкрд▓्рдпाрд▓ा рдЬिрдо्рдоेрджाрд░ी рдЖрд╣े. рдЖрдкрд▓्рдпाрд▓ा рд╡िрдХाрд╕ाрдЪ्рдпा рдЕंрдзाрд░ाрдд рдЙрднे рд░рд╣ूрди рд╕рд░्рд╡ांрдЪ्рдпा рдмрд│ी рддрдпाрд░ рдХрд░рдг्рдпाрдд рдЖрдкрд▓्рдпा рд╕рдоाрдЬाрдЪ्рдпा рд╕ाрдоाрдЬिрдХ рдЙрдкрдХाрд░ाрдЪ्рдпा рдорд╣рдд्рд╡ाрдЪी рднूрдоिрдХा рдЖрд╣े.

рдЖрдХाрд╢ाрдд рддाрд░े рдЬрдгाрд╡рддाрдиा, рдЖрдкрд▓्рдпा рд╕рдоाрдЬाрддीрд▓ рдЕрдХाрд│рдорд░рдгाрдЪ्рдпा рд╕рдорд╕्рдпेрдЪ्рдпा рдкрд░िрдгाрдоांрдЪी рдЖрдкрд▓्рдпा рд╕рдоाрдЬाрд▓ा рд╕ाрд╡рдзाрдиी рдЖрдгि рд╕рд╣ाрдп्рдп рдХрд░ाрдпрд▓ा рд╣рд╡ी рдЖрд╣े, рддो рдЖрдкрд▓्рдпा рд╕рдоाрдЬाрдЪ्рдпा рд╕рдоृрдж्рдзीрд╕ाрдаी рд╣рд╡ीрдЪी рдЕрдкेрдХ्рд╖ा рдЖрд╣े.

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