AI is not going down anytime soon especially because of free powerful LLMs like GPT-4o and Claude.
A lot of startups are already using it to build cool products and reach massive audiences.
Today, I'm covering 17 powerful LLM tools that went viral after launch. These examples might give you some ideas for your own projects.
Let's jump in.
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You would be able to do a lot of cool stuff like:
⚡ Create and iterate prompt in the platform.
⚡ Run evaluations to check your prompts with LLMs.
⚡ Optimize the output of your LLM-based features automatically.
I'm very confident that you will love it after release!
1.
With GPT Crawler, you can crawl any site to generate knowledge files to make your own custom GPT from one or multiple URLs.
You will have to configure the crawler and then simply run it. After the crawl is complete, you will have a new output.json file, which includes the title, URL and extracted text from all the crawled pages.
You can now upload this directly to ChatGPT by creating a new GPT. Once uploaded, this GPT assistant will have all the information from those docs and be able to answer unlimited questions about them.
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on how to get started. You can find all the instructions on the official
2.
PI is an AI chatbot (created by Inflection AI) and is built to provide helpful, engaging and fun conversations. I loved the onboarding section!
I have used GPT and Gemini but Pi seems more human-like. You can have conversations about yourself and general things in life, that you would do with a friend.
You can also ask it to convey in voice. The fact I love it because of how calm the User Interface is, it feels so peaceful and you can do all sorts of stuff.
that is free to download.
3.
Vanna is an MIT-licensed open-source Python RAG (Retrieval-Augmented Generation) framework for SQL generation.
Basically, it's a Python package that uses retrieval augmentation to help you generate accurate SQL queries for your database using LLMs.
It's perfect for developers like me who are not fond of SQL queries!
You don't need to know how this whole stuff works to use it.
You just have to train a model, which stores some metadata, and then use it to ask questions.
Get started with the following command.
pip install vanna
To make things a little easier, they have built user interfaces that you can use as a starting point for your own custom interface. Find all the
You can read the in case you want to see how it works after training.
for a complete walkthrough!
4.
AI Dungeoun is one of the coolest use case of LLM that I have seen so far. It's creative and has a lot of options.
There are no rules or objectives since they are only focused on adventure.
AI Dungeon is a text-based, AI generated fantasy simulation with infinite possibilities. Unlike most games where you experience worlds created by game designers, with AI Dungeon, you can direct the AI to create worlds, characters and scenarios for your character to interact with.
Watch the official trailer :)
You could lead an army fighting back an alien invasion or be a cool detective investigating the assassination of the queen.
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If you are not aware, Scenarios are basically templates that players can use to start a new Adventure.
You can filter them based on your choice like playable/readable, multiple choice or 3rd person and so many more.
They have created a
You can find the official app on . They have 1M+ downloads which makes them very credible.
You can even improve this by using tools like Sora (upcoming launch).
They are not open source but worth checking out.
- AI-driven data management platform.
You can download or
⚡ Data Exploration.
on the official docs.
They have 14k+ stars on GitHub and are on the release v3.2.
- magic notes app.
This is how the dashboard looks. The search feature is very handy and there are lots of useful features.
⚡ You can use AI to create new collections.
⚡ Search beyond your keywords.
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- chat with AI characters as if they were humans.
And of course, add a custom persona if the existing one isn't up to your requirements.
8.
It's a tool to optimize your prompt. Using LLM to optimize the input that is again going to use LLM is kind of fancy.
PromptPerfect is a prompt optimization tool designed to enhance the quality of large language models and large model results. To use PromptPerfect, you need to input a prompt and customize various settings according to their needs.
These settings include the maximum prompt length, the number of iterations to be optimized, and the quality of the output. It's a useful one if you use models like GPT-4, Claude and Midjourney.
Some of the exciting features are:
⚡ Concept of auto-tune.
⚡ Improve content based on your target audience.
There is a whole lot of stuff that you can do. Just explore
9.
With Heygen, you can create production-ready videos from text in seconds with AI-generated avatars and voices.
HeyGen does multiple things related to video generation and is a leader in generative AI for video production purposes. As such, it sports a great AI Avatar generator, AI-powered Text-to-Speech, and AI voice cloner. These tools are wrapped in a clean User Interface that lets creators get more done in less.
It works in three simple steps.
It is present in a lot of languages.
They recently received $60M funding so they're growing fast.
They're not open source but are definitely worth checking out.
- AI agent that writes (actually useful) code for you.
You can install it using this command.
npm install -g @builder.io/micro-agent
# Next, set your OpenAI API key when prompted or manually using this.
micro-agent config set OPENAI_KEY=<your token>
# Then you can run to start a new coding task
micro-agent
Micro Agent will prompt you to describe the function you want, generate tests, and start writing code in your preferred language to make the tests pass. Once all the tests are green, you'll have a fully functional, test-backed function ready to use.
Let's explore some of the most mind blowing use cases:
⚡ 30-second demo of Micro Agent generating tests and code for a TypeScript function that groups anagrams together from an array of strings.
⚡ Unit test matching.
⚡ Integration with Figma.
Micro Agent can also integrate with Visual Copilot to connect directly with Figma to ensure the highest fidelity possible design to code!
Visual Copilot connects directly to Figma to assist with pixel-perfect conversion, exact design token mapping, and precise usage of your components in the generated output.
Then, Micro Agent can take the output of Visual Copilot and make final adjustments to the code to ensure it passes TSC, lint, tests, and fully matches your design including final tweaks. Amazing right :)
and
11.
EditGPT helps you proofread, edit and improve your writing with a powerful AI editor.
There are a lot of options available to improve your message clearly.
12.
As a developer, I'm not fond of meetings but if you attend too many meetings then this is for you!
Fireflies help your team transcribe, summarize, search, and analyze voice conversations. Automate your meeting notes!
Watch this quick demo!
They provide an insane amount of useful features:
⚡ Get automatic meeting notes, action items, & transcripts.
⚡ Collaborate with your co-workers.
⚡ A real-time knowledge base for your entire team
There are a lot of features, but the AI ones are only included in premium plans.
The good thing is that their plans are affordable and they offer a free tier plan with 800mins/storage which is more than enough.
- ChatGPT with internet access.
, .
Watch the quick demo!
It has more than 1.5M users for three simple features:
⚡ Get web results for your queries.
⚡ Get AI-powered search answers right beside your search results by using ChatGPT, Claude, Bard and Bing AI.
14.
PrivateGPT is a production-ready AI project that allows you to ask questions about your documents using the power of Large Language Models (LLMs), even in scenarios without an internet connection.
100% private meaning no data leaves your execution environment at any point.
The API is divided into two logical blocks:
a. High-level API, which abstracts all the complexity of a RAG (Retrieval Augmented Generation) pipeline implementation:
- Ingestion of documents: internally managing document parsing, splitting, metadata extraction, embedding generation, and storage.
- Chat & Completions using context from ingested documents: abstracting the retrieval of context, the prompt engineering, and the response generation.
b. Low-level API, which allows advanced users to implement their complex pipelines:
- Embeddings generation: based on a piece of text.
- Contextual chunks retrieval: given a query, returns the most relevant chunks of text from the ingested documents.
You can read the and the
15.
You would have heard about Perplexity AI somewhere along your journey, Perplexica is an open source alternative to that!
Perplexica is an AI-powered search tool or an AI-powered search engine that goes deep into the internet to find answers. It not only searches the web but also understands your questions.
It uses advanced machine learning algorithms like similarity searching and embeddings to refine results and provides clear answers with sources cited.
Using SearxNG to stay current and fully open source, Perplexica ensures you always get the most up-to-date information without compromising your privacy.
If you're wondering about the architecture, you can read about the . They've explained it clearly by taking an example of a scenario where a user asks: How does an A.C. work?.
Some of the features are:
⚡ Some search tools might give you outdated info because they use data from crawling bots convert them into embeddings and store them in an index. Unlike them, Perplexica uses SearxNG, a metasearch engine to get the results and rerank and get the most relevant source out of it, ensuring you always get the latest information without the overhead of daily data updates.
⚡ You can make use of local LLMs such as Llama3 and Mixtral using Ollama.
⚡ It has a copilot mode to search instead of just using the context by SearxNG, it visits the top matches and tries to find relevant sources to the user's query directly from the page.
⚡ Perplexica currently has 6 focus modes:
- YouTube Search Mode.
- Wolfram Alpha Search Mode.
- Reddit Search Mode.
- Academic Search Mode.
- Writing Assistant Mode.
- All Mode (searches the entire web).
You can watch the complete walkthrough on YouTube!
They have 12.5k+ stars on GitHub and are on the v1.8 release.
- writing emails using AI in your style.
As I said earlier, EmailTriager is the only email assistant that actually learns to triage and write emails like you.
It's not open source and there is no free tier which is a major drawback. But $10/month is worth it in my opinion if you write a lot of emails.
- generate music using AI.
You can, of course, export your creations to a DAW or upload your own audio to experience Udio’s fantastic AI-editing tools.
This is how the dashboard looks.
If you want a YouTube tutorial, then I recommend watching this!
It's not open source but I'm already loving the songs :)
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