開発スタッフがアプリ関連の最新技術やニュースをご紹介します。

AutoGPTとは
OpenAIのChatGPTのAPIを利用した自律的に情報を処理できるPythonアプリケーションです。

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Stable DiffusionをローカルPCで比較的簡単に実行することができる
Stable Diffusion WebUI（Automatic1111）を試してみました。

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モバイルアプリでは音声で質問を投げかけたり、
Skypeではチャットグループの一人として追加できるそうです。

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ONNX is a machine learning framework which acts like a medium to convert between different machine learning frameworks.

ONNX is designed to enable framework interoperability. There are many great machine learning libraries in multiple languages — PyTorch, TensorFlow, MXNet, and Caffe are just a few of the most popular ones in recent years, but there are many others.
The idea is that you can use one stack of tools to train your model and use another for inference and prediction to expand your model.

For example, once you’ve trained your model, you need to deploy it to a new iOS app so that anyone with a previously trained model can see the safety of their food. I first trained my model with PyTorch, but iOS expects to use CoreML for use within the app. ONNX is an intermediate representation of the model that allows you to easily move from one environment to another.

With tools such as ONNX-CoreML, you can now easily convert pre-trained models to files, import them into XCode, and integrate them seamlessly with your application.

This is just an overview of what ONNX is about. I will talk more detail in future.

Yuuma

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Previously , I talked about general knowledge of AI and it’s types , ANI, AGI, ASI which are in Type I group. Today I will talk about Type II AI group. With further research on AI, this form can be further divided into two types, called strong AI and weak AI.

The main reason was to distinguish between the production levels of different types of AI machines.

Strong AI

• This is a wide range of widespread applications.
• This form of application has incredible intelligence at the human level.
• It uses combined action of gathering data to process the information.
• Example: Advanced robotics

Weak AI

• This is a small application with a finite scope.
• This type of AI is useful for some limited tasks.
• Process information using supervised and unsupervised surveys
• Example: Siri, Alexa.

Why AI

The reason for artificial intelligence is to support human capabilities and data resolution with widespread consequences. That’s the right answer from a professional point of view. From a philosophical point of view, artificial intelligence can help people lead a more profitable life without working hard.

Of course, there are consequences with the development of AI, but we are still far from such consequences. If you are more interested in artificial intelligence, I suggest that you take an artificial intelligence course to understand the delicacy and skills of today’s artificial consciousness.

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