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。

Microsoft’s AI-powered chatbot, Copilot, has joined forces with the GenAI music app Suno to enable users to compose songs effortlessly. By inputting prompts such as “Create a pop song about adventures with your family” into Copilot, users can utilize the Suno plug-in to transform their ideas into complete songs, complete with lyrics, instrumentals, and singing voices. This integration is accessible through Microsoft Edge by visiting Copilot.Microsoft.com, logging in with a Microsoft account, and enabling the Suno plug-in or clicking on the Suno logo labeled “Make music with Suno.” The collaboration aims to democratize music creation, with the experience rolling out to users progressively.

The partnership between Microsoft Copilot and Suno reflects the growing trend among tech giants and startups to invest in GenAI-driven music creation technology. In November, Google AI lab DeepMind and YouTube introduced Lyria, a GenAI model for music, and Dream Track, a tool for building AI tunes in YouTube Shorts. Meta has also explored AI music generation experiments. Despite this surge in innovation, ethical and legal issues surrounding AI-synthesized music persist. Questions of consent, compensation for artists, and the potential exploitation of creators remain unresolved, leading to debates about fair use and intellectual property rights.

Suno, while contributing to the evolving landscape of AI-generated music, faces scrutiny for not disclosing its AI training data sources on its website. Unlike some competitors, Suno does not restrict users from entering prompts like “in the style of [artist],” raising concerns about the potential misuse of copyrighted material. As debates over usage rights unfold in legal forums, viral homemade tracks utilizing GenAI to replicate authentic sounds have surfaced, prompting music labels to address intellectual property concerns with streaming platforms. While legal clarity on the status of GenAI music may emerge through court decisions, a newly introduced Senate bill seeks to provide artists with recourse when their digital likenesses, including musical styles, are used without permission.

You can read the full detail article from microsoft here.

Yuuma

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In the world of software development, commit messages play a crucial role in tracking changes, understanding the evolution of code, and collaborating effectively within a team. However, writing meaningful commit messages can be a tedious task, often resulting in generic or uninspiring messages. This is where OpenCommit comes into play, aiming to eliminate lame commits with the power of artificial intelligence.

Auto-generate Meaningful Commits in 1 Second

OpenCommit is an innovative tool that leverages AI to automatically generate meaningful commit messages for your code changes. The primary goal is to enhance the quality of commit messages, making them more descriptive and relevant. By doing so, OpenCommit contributes to better code documentation and collaboration.

Getting Started with OpenCommit

Setting up OpenCommit is a breeze, and you can start using it as a command-line interface (CLI) tool. The process involves a few simple steps:

1. Install OpenCommit Globally

   npm install -g opencommit

2. Obtain Your OpenAI API Key

   Get your API key from OpenAI and ensure that you add your payment details to enable API functionality.

3. Set API Key in OpenCommit Config

   oco config set OCO_OPENAI_API_KEY=<your_api_key>

   Your API key is stored locally in the ~/.opencommit config file.

Usage Example

Once OpenCommit is set up, you can use it to generate commit messages for your staged changes. Here’s a quick example:

Stage your changes

git add <files...>

Generate a commit message with OpenCommit

opencommit

Alternatively, you can use the `oco` shortcut:

Stage your changes

git add <files...>

Generate a commit message with OpenCommit using the shortcut

oco

Configuration Options

OpenCommit provides various configuration options to tailor the generated commit messages according to your preferences. These configurations include:

Local per repo configuration

Create a `.env` file in your repository and set OpenCommit config variables such as API key, max response tokens, base path to OpenAI API, description, emoji usage, model selection, language, message template, and prompt module.

OCO_OPENAI_API_KEY=<your OpenAI API token>
OCO_OPENAI_MAX_TOKENS=<max response tokens from OpenAI API>
OCO_OPENAI_BASE_PATH=<may be used to set proxy path to OpenAI api>
OCO_DESCRIPTION=<postface a message with ~3 sentences description of the changes>
OCO_EMOJI=<boolean, add GitMoji>
OCO_MODEL=<either 'gpt-4', 'gpt-3.5-turbo-16k' (default), 'gpt-3.5-turbo-0613' or 'gpt-3.5-turbo'>
OCO_LANGUAGE=<locale, scroll to the bottom to see options>
OCO_MESSAGE_TEMPLATE_PLACEHOLDER=<message template placeholder, default: '$msg'>
OCO_PROMPT_MODULE=<either conventional-commit or @commitlint, default: conventional-commit>

Global Config for All Repos

Set global configurations for OpenCommit, such as the default model and language. But local configurations still take priority, allowing flexibility for specific repository needs.

oco config set OCO_MODEL=gpt-4

Conclusion

OpenCommit is a game-changer in the world of version control. By automating the process of crafting meaningful commit messages, it not only saves time for developers but also contributes to the overall readability and understanding of code repositories. Embrace the power of AI with OpenCommit, and say goodbye to mundane commit messages.

Hope you enjoy that.

Asahi

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Google’s generative AI chatbot, Bard, is set to receive a substantial upgrade with the integration of Gemini, Google’s latest and most advanced AI model. This update is expected to significantly enhance Bard’s capabilities, providing it with improved reasoning, planning, and understanding, among other features. Gemini, available in Ultra, Pro, and Nano sizes, is designed to run seamlessly across a range of devices, from mobile phones to data centers.

The deployment of Gemini to Bard will occur in two phases. Initially, Bard will be upgraded with a tailored version of Gemini Pro, available in English in over 170 countries. Subsequently, Google plans to introduce Bard Advanced, granting users access to Gemini Ultra, the most powerful AI model. These enhancements mark the most significant quality improvement for Bard since its initial launch, promising heightened proficiency in tasks such as understanding and summarizing content, reasoning, brainstorming, writing, and planning.

Gemini Pro underwent rigorous testing against industry-standard benchmarks, showcasing its superiority over GPT-3.5 in six out of eight tests, including MMLU and GSM8K. However, it’s worth noting that GPT-3.5 is over a year old, framing this launch as more of a catch-up move than a revolutionary leap. Despite this, the improvements aim to position Bard as a more capable and versatile AI, offering users an enhanced and refined experience.

Gemini Pro will initially power text-based prompts in Bard, with plans for future expansion to include multimodal support, incorporating both text and images. Looking ahead to 2024, Bard Advanced will make its debut, featuring Gemini Ultra. This version promises a comprehensive AI experience capable of understanding and acting on various types of information, such as text, images, audio, video, and code. Google intends to initiate a trusted tester program for Bard Advanced before a broader release, emphasizing the importance of safety checks in the development process. The update builds upon several recent improvements to Bard, positioning it as a robust and evolving AI chatbot.

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text-generation-webui を使用してローカルでLLMを動かし、
AIとチャットを行ってみました。

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Google has recently announced a significant enhancement to its Bard AI chatbot, enabling it to provide specific answers to questions related to YouTube videos. While the initial YouTube Extension for Bard, launched in September, allowed users to find specific videos, the latest update empowers the chatbot to respond to queries about the content within videos.

This advancement means users can now engage in richer conversations with Bard, asking detailed questions such as the number of eggs required in a recipe featured in a particular video. Google acknowledges the users’ desire for deeper interaction with YouTube content and aims to fulfill this through Bard’s expanded capabilities.

This development follows YouTube’s recent experimentation with new generative AI features, introducing an AI conversational tool that answers questions about the platform’s content. This tool employs large language models to generate responses, utilizing information from both YouTube and the broader web. Users can now pose questions about the video they are watching, and the AI-driven conversation unfolds in real-time alongside the video playback. Additionally, YouTube has introduced a comments summarizer tool, leveraging generative AI to organize and summarize topics discussed in video comments, providing users with an overview of community discussions.

Coinciding with these updates, Google has expanded access to Bard for teenagers in most countries globally. In a blog post, Google highlighted the potential for teens to use Bard as a tool for inspiration, discovering new hobbies, and solving everyday problems. Whether seeking advice on university applications or exploring leisure activities, teens can now tap into Bard’s capabilities for a wide range of inquiries. This move aligns with Google’s commitment to making Bard a valuable resource for teens across various aspects of their lives.

Yuuma

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