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--- | ||
title: About this Blazor App | ||
title: About pvq | ||
--- | ||
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## .NET 8 Blazor App Templates | ||
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ServiceStack's new .NET 8 Blazor templates enhances the default ASP.NET Blazor App templates with several modern, high-productivity features, including: | ||
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- [Vue.js](https://vuejs.org) - Enhance your statically rendered Blazor Apps with Vue.js for all your interactive UIs | ||
- [Tailwind CSS](https://tailwindcss.com) - Style your Blazor Apps with the modern popular utility-first CSS framework for creating beautiful, maintainable responsive UIs with DarkMode support | ||
- [ServiceStack Vue Components](https://blazor-gallery.jamstacks.net) - Rapidly develop beautiful Blazor Apps integrated with Rich high-productivity UI Tailwind Components like [AutoQueryGrid](https://docs.servicestack.net/vue/autoquerygrid) and [AutoForms](https://docs.servicestack.net/vue/autoform) | ||
- [ServiceStack.Blazor Components](https://blazor-gallery.jamstacks.net) - Utilize ServiceStack.Blazor's beautiful Tailwind Components in your statically rendered Blazor Apps | ||
- [ASP .NET Identity Auth](https://learn.microsoft.com/en-us/aspnet/core/blazor/security/) - Use the same ASP .NET Identity Auth used in ASP.NET's .NET 8 Blazor Apps, with all Identity Pages upgraded with beautiful Tailwind CSS styling | ||
- [Entity Framework](https://learn.microsoft.com/ef/) & [OrmLite](https://docs.servicestack.net/ormlite/) - Choose the Best ORM to build each App feature, with a unified solution that sees [OrmLite's Code-First DB Migrations](https://docs.servicestack.net/ormlite/db-migrations) run both EF and OrmLite migrations, inc. Seed Data with a single command at Development or Deployment | ||
- [AutoQuery](https://docs.servicestack.net/autoquery/) - Rapidly developing data-driven APIs, UIs and CRUD Apps | ||
- [Auto Admin Pages](https://youtu.be/wlRA4_owEsc) - Quickly develop your back-office CRUD Admin UIs to manage your App's Database tables at [/admin](/admin) | ||
- [Markdown](https://docs.servicestack.net/razor-press/syntax) - Maintain SEO-friendly documentation and content-rich pages like this one with just Markdown, beautifully styled with [@tailwindcss/typography](https://tailwindcss.com/docs/typography-plugin) | ||
- [Built-in UIs](https://servicestack.net/auto-ui) - Use ServiceStack's Auto UIs to [Explore your APIs](https://docs.servicestack.net/api-explorer) at [/ui](/ui/) | ||
or Query your [App's Database Tables](https://docs.servicestack.net/admin-ui-database) at [/admin-ui/database](/admin-ui/database) | ||
- [Built-in Docker Deployments](/deploy) - Use the built-in GitHub Actions to effortlessly deploy .NET 8 containerized Blazor Apps with Docker and GitHub Registry via SSH to any Linux Server | ||
## Getting Help in the Age of LLMs | ||
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Like most developers we're captivated by the amazing things large language models are capable of and the potential they | ||
have to transform the way we interact with and use technology. One of the areas they can be immediately beneficial with | ||
is in getting help in learning how to accomplish a task or solving a particular issue. | ||
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Previously we would need to seek out answers by scanning the Internet, reading through documentation and blogs to find | ||
out answers for ourselves. Forums and particularly Stack Overflow have been a great resource for developers in being able | ||
to get help from other developers who have faced similar issues. But the timeliness and quality of the responses can vary | ||
based on the popularity of the question and the expertise of the person answering. Answers may also not be 100% relevant | ||
to our specific situation, potentially requiring reading through multiple answers from multiple questions to get the help | ||
we want. | ||
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But now, with the advent of large language models, we can get help in a more natural way by simply asking a question in | ||
plain English and getting an immediate response that is tailored to our specific needs. | ||
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## Person vs Question | ||
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[pvq.app](https://pvq.app) is our attempt at providing a useful platform for other developers in this new age by enlisting | ||
the help of large language models to provide immediate and relevant answers to your questions. But instead of just using | ||
a single LLM to provide answers, we're using multiple models to provide different perspectives on the same question that | ||
we'll use to analyze the strengths of different LLMs at answering different types of questions. | ||
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## Initial Base Line | ||
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For our initial dataset we're starting with the top 100k questions from StackOverflow and running them through a number | ||
of quality Open LLMs that we've found to perform great for answering programming questions: | ||
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- [Phi-2](https://www.microsoft.com/en-us/research/blog/phi-2-the-surprising-power-of-small-language-models/) (2.7B) by Microsoft | ||
- [Gemma 2B](https://ai.google.dev/gemma) (2B) by Google | ||
- [Qwen 1.5](https://github.com/QwenLM/Qwen1.5) (4B) by Qwen Team | ||
- [DeepSeek Coder 6.7B](https://github.com/QwenLM/Qwen1.5) (6.7B) by DeepSeek AI | ||
- [Code Llama2 7B](https://llama.meta.com/llama2/) (7B) by Meta | ||
- [Gemma 7B](https://ai.google.dev/gemma) (7B) by Google | ||
- [Mistral 7B](https://mistral.ai/news/announcing-mistral-7b/) (7B) by Mistral AI | ||
- [Mixtral 8x7B](https://mistral.ai/news/mixtral-of-experts/) (8x7B) by Mistral AI | ||
- [DeepSeek Coder 33B](https://deepseekcoder.github.io/) (33B) by DeepSeek AI | ||
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Our initial pass will be to see how well each of these models perform on the StackOverflow dataset which we'll keep track | ||
of and publish on our [Leaderboard](/leaderboard) page which we're also comparing against the highest voted and | ||
accepted answers on StackOverflow to see how well they measure up against the best human answers. | ||
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## Future Work | ||
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After establishing the initial base line we'll look towards evaluating different strategies and specialized models to | ||
see if we're able to improve the quality of answers that can be provided. | ||
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## New Questions | ||
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For new questions asked we'll also include access to the best performing proprietary models to active users as they | ||
[ask more questions](/questions/ask), including: | ||
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- [Claude 3 Haiku](https://www.anthropic.com/news/claude-3-haiku) by Anthropic | ||
- [Gemini Pro](https://blog.google/technology/ai/google-gemini-ai/) by Google | ||
- [Claude 3 Sonnet](https://www.anthropic.com/news/claude-3-family) by Anthropic | ||
- [GPT 4 Turbo](https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo) by OpenAI | ||
- [Claude 3 Opus](https://www.anthropic.com/claude) by Anthropic | ||
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## Open Questions and Answers for all | ||
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All questions, answers and comments is publicly available for everyone to freely use under the same | ||
[CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) license used by StackOverflow. | ||
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## Help us improve Answers | ||
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You can help us improve the quality of answers by providing any kind of feedback including asking new questions, | ||
up voting good answers and down voting bad ones, correcting answers with inaccuracies or leaving comments suggesting | ||
improvements or adding additional context and clarifications to answers. Our most active users who help curate and improve | ||
the quality of questions and answers will have the opportunity to become moderators where they'll have access to | ||
all our models. | ||
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We also welcome attempts to beat the large language models by providing your own answers to questions. We'll rank | ||
new answers and include votes they receive from the community to determine the best answers. | ||
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We'll use this feedback to update our leaderboard and improve the quality of answers provided. | ||
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## Feedback ❤️ | ||
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We're still in the very early stages of development and would love to hear your feedback on how we can improve pvq.app | ||
to become a better platform for answering technical questions. You can provide feedback in our | ||
[GitHub Discussions](https://github.com/ServiceStack/pvq/discussions): | ||
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- [Feature Requests](https://github.com/ServiceStack/pvq/discussions/categories/ideas) | ||
- [Report Issues](https://github.com/ServiceStack/pvq/issues) | ||
- [General Feedback](https://github.com/ServiceStack/pvq/discussions) |
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