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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.

09/07/2023

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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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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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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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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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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,

22/02/2023

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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.

- Hope it makes sense. Follow me for more 👉

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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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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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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12/02/2023

A token represents a sequence of characters broken up from a prompt text.

1 token **≈ 4 characters / 0.75 words**

Maximum context length for most models = 2048 tokens / 1500 words

The context above refers to combination of the text prompt and the generated completion.

For example:

Prompt text: how to make the perfect cup of coffee

Tokens: how, to, make, the, perfect, cup, of, coffee = 8 tokens

You can use OpenAI’s Tokenizer tool to experiment and learn more.

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09/02/2023

It's one of the words on everyone's lips, other that ChatGPT!

In Natural Language Processing, a prompt is text (natural language) you input to a model that describes a particular task to be performed. You are giving the model a problem to solve for you.

The results from the instructions in form of text depend on the complexity of the model. It's also based on how best you design your prompt. This is what's defined as prompt engineering.

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08/02/2023

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07/02/2023

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05/02/2023

DALL.E is a set of AI models that translate natural language to images.

Have you tried the beta version?

Which one would you prefer, DALL.E or Midjourney? Share down below.

04/02/2023

Davinci ← It’s the most capable. Not only is it good at translating natural language to code, it can also insert code within an existing code. Github Copilot anyone?

Cushman ← Same feature but faster than Davinci.

Have you interacted with any of them?

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03/02/2023

Codex is a set of AI models that translate natural language to code.

Have you tried the beta version?

Which programming language are you translating to? 😊

02/02/2023

Davinci ← It’s the most capable. Best for summarization for a specific audience, creative content generation, analyzing complicated text.

Ada ← It’s the fastest. Best for parsing text (which is separating text into smaller components), simple classification (process of categorizing text into organized groups) ****, address correction.

Curie ← It’s extremely powerful and fast. Best for sentiment classification (categorizes unstructured data by sentiment), summarization (breaking down lengthy text into digestible paragraphs or sentences).

Babbage ← It’s the least strongest, powerful or fast. Best for simple classification, semantic search (match a user query to the corresponding content).

Understanding the specific features of each model helps in choosing the right model to interact with. Therefore it is important to have a brief understanding on the field of Natural Language Processing (NLP). And with the right model, comes great results.

Have you interacted with any of them?

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01/02/2023

“What is GPT-3?”

I still feel that we get GPT-3 and ChatGPT mixed up when it comes to definition. This reminds me of the early evolution of the Blockchain era when we mixed up Blockchain and cryptocurrency as if they referred to the same thing. 😊

To simply put it 👇🏾

✅ GPT-3 is a set of AI models that communicates in natural language

✅ ChatGPT is OpenAI’s app product that uses GPT-3

01/02/2023

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Training data is a set of data samples used to teach the model. Follow me for more 👉 @mobterest #ai #chatgpt #gpt3 #openai #codex #naturallanguageprocessing

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