For some years since 2016, we have seen how AI has evolved and for the past 4 years it has been on a roll. Especially, the hero LLM and generative AI models are pushing the limits and providing insane value.
Every startup, company needs a piece of AI in their offering. Being the hotspot of investments, who doesn't want it. And with the increase in the demand the development of AI based applications are on a rise. But it has been difficult for lot of non-tech folks and even the tech people to properly develop the application and deploy it to production.
But this has been changed forever, the popular code repository tool Github has introduced the new feature "Models".
Think of you having a collection of powerful AI models at your disposal—models that can chat, generate code, and much more with just a few tweaks. That’s what GitHub Models have for you. To get started, head over to the Marketplace on GitHub and select Models. Here, you’ll see many options, from the versatile Lama to the innovative Meta and beyond. Imagine this as your AI toolkit, ready to be explored and experimented with!
Last week i released a video on youtube on - 18 Tests that will ensure that your software doesn't fails in the production environment.
Now once you’ve chosen a model, you’ll see the layout. Here is what it will look like and what it will be about:
- README: The go-to guide for everything you need to know about the model.
- Evaluation: A handy comparison tool to see how this model stacks up against others.
- Transparency: Get all the nitty-gritty details about the model’s inner workings.
- License: Check out the usage rights and restrictions.
Ready to take your first leap? Click the Playground button, and the fun begins!
You don't need to develop any code while experimenting with the model of your choice. You can change parameters, try different configurations to test realtime how your model performs. Now, let’s take it up a notch. Click the Get Started button, and you’ll be greeted with a user-friendly overlay. You can choose the programming language and SDK that suits your needs. Then, it’s time to generate your own personal access token. Don’t worry—it’s easier than it sounds. Simply follow these steps:
- Go to Personal Access Token.
- Select the Beta option.
- Log in with your GitHub credentials.
- Set an expiration date and name your token.
- Click Generate Token and copy it.
What about the code Rohan?
Github has also added a code tab, where you can get the entire code of your playground training in any language with installation instructions.
Voila, AI application made easy like a breeze.
What's your plan about using Github Model? Let me know in the comments.
Found this useful? Consider reposting it your network.
Until next time.
Rohan
The TechDoc
If you are a non-technical founder and want to learn how to develop profitable softwares that customers can't ignore. I am conducting a free linkedin event on 8th of December 10am EST. Here is the event link - https://www.linkedin.com/events/createprofitablesoftwaresyourcu7264607227569741825/
📰 Three amazing articles to make better software that you must read
- Don't just build softwares build experience
- Psychology driven product design
- Why every software needs a blueprint?
▶️ Two amazing videos to make better software
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