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Activities in Android development represent the screens or windows users interact with in an app.Understanding the lifec...
09/07/2023

Activities in Android development represent the screens or windows users interact with in an app.

Understanding the lifecycle of an activity is crucial for managing its behavior and appearance throughout its lifetime.

By comparing activities to rooms in a house and daily routines, you can visualize their purpose and understand their lifecycle methods.

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09/07/2023

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Whisper is an automatic speech recognition model by OpenAI that supports multiple languages and can translate any of the...
28/02/2023

Whisper is an automatic speech recognition model by OpenAI that supports multiple languages and can translate any of the languages to English.

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ChatGPT is a language model developed by OpenAI, while Google AI is a research division of Google that focuses on artifi...
27/02/2023

ChatGPT is a language model developed by OpenAI, while Google AI is a research division of Google that focuses on artificial intelligence.

ChatGPT is a specific type of language model that is trained to generate human-like text, while Google AI encompasses a wide range of research and development in AI, including language models, image recognition, and machine learning.

They are both similar in the sense that they are AI language models, but they have different training data, algorithms and architectures, and they are developed and maintained by different organizations.

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GitHub Copilot is a new AI-powered code completion tool by GitHub. Some of its main features include:1. Intelligent code...
26/02/2023

GitHub Copilot is a new AI-powered code completion tool by GitHub. Some of its main features include:

1. Intelligent code completion: Copilot uses machine learning to suggest code snippets based on the context of the code being written.
2. Code navigation: Copilot helps developers navigate through their code by suggesting relevant functions and variables.
3. Error detection: Copilot uses natural language processing to understand the intent of the code and can detect errors before they happen.
4. Refactoring suggestions: Copilot suggests refactoring options to make the code more readable and maintainable.
5. Multi-language support: Copilot supports multiple programming languages including JavaScript, Python, and Ruby.
6. Integrates with existing development tools: Copilot can be integrated with Visual Studio Code, making it easy for developers to use the tool within their existing workflow.
7. Personalization: Copilot learns from your coding habits and preferences, and adapts over time to provide personalized code suggestions.
8. Collaboration: Copilot allows developers to share their code snippets and suggestions with their team members, making it easier to work on projects together.

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25/02/2023

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The Basic commands in Midjourney:/imagine ← creates an image based on the prompt entered./help ← displays helpful inform...
24/02/2023

The Basic commands in Midjourney:

/imagine ← creates an image based on the prompt entered.

/help ← displays helpful information.

/info ← shows information about your profile & account.

/subscribe ← directs you to the subscription page.

/fast ← your jobs are incrementally billed.

/relax ← no cost on your jobs but they take longer to be generated.

/show ← allows you to retrieve a job using its id.

/private ← only visible to you.

/public ← visible to everyone.
text you provided

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- To create a completion, generate a http post request to: [https://api.openai.com/v1/completions]- On the request body,...
23/02/2023

- To create a completion, generate a http post request to: [https://api.openai.com/v1/completions]

- On the request body, among the default parameters such as model and prompt, add the parameter n and enter the number of completions as shown below:
{
"model": "text-davinci-003",
"prompt": "Say this is a test",
...
"n": 1,

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22/02/2023

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- For example,    - Prompt: What is this image of [assume it’s an image of a cow] ?        - Results:            - Anima...
19/02/2023

- For example,
- Prompt: What is this image of [assume it’s an image of a cow] ?
- Results:
- Animal - 10.1%
- Cow - 2.5%
- Cattle - 2.4%
- Buffalo - 1.8%
- Dog - 0.001%
- If we want to use probability of 15%, Top-p (nucleus) sampling will pick the top tokens that add up to 15%. In this case, the shortlist will be:
- Animal - 10.1%
- Cow - 2.5%
- Cattle - 2.4%
- In OpenAI API, the top_p parameter to be passed on a request body holds value from 0 to 1 where 0.1 means only the tokens comprising the top 10% probability mass are considered and 1 means only the tokens comprising the top 100% probability mass are considered.
- It is recommended to use temperature or top_p parameter on the request body and not both.

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- Temperature is a parameter used to control the confidence of a model by either decreasing or increasing it.- Its value...
17/02/2023

- Temperature is a parameter used to control the confidence of a model by either decreasing or increasing it.
- Its value ranges between 0 and 1.
- Lowering the temperature causes the model to take fewer risks and return accurate and deterministic completions.
- Increasing the temperature causes the model to take more risks and return diverse completions.
- If you want creativity in the results from your prompts, increase the temperature.
- If you desire simply well-defined completions, lower the temperature.

Have you played around with temperature when interacting with any of the OpenAI models?

How was the experience?

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16/02/2023

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✅ Prepare training data✅ Upload the training data✅ Train a new fine-tuned model using OpenAI CLI✅ Use your fine-tuned mo...
15/02/2023

✅ Prepare training data
✅ Upload the training data
✅ Train a new fine-tuned model using OpenAI CLI
✅ Use your fine-tuned model by making requests to it.

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14/02/2023

Training data is a set of data samples used to teach the model.

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Fine-tuning is the procedure of re-training a pre-trained language model using your own custom data.Have you tried fine-...
13/02/2023

Fine-tuning is the procedure of re-training a pre-trained language model using your own custom data.

Have you tried fine-tuning an OpenAI model for your projects? 👌🏾

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