Calling all developers, data scientists and AI enthusiasts!
Want to build private LLMs that you own? We make fine-tuning and inference easy. Build on top of state-of-the-art open-source models with a single API call. 🪄
📣 Calling all developers, data scientists and AI enthusiasts! 📣
We’re so excited to announce the launch of Gradient’s developer API! 🚀
**TLDR;**
🪄 Fine-tune with a single API call
💡 Build on state-of-the-art open source LLMs (i.e., Llama 2)
🔑 Own your data and model
🚢 Deploy to your application easily
💸 Only pay for what you use (by the token)
We understand many people and organizations want to build custom AI for their own needs AND maintain ownership and control over their data and the models they create.
With Gradient, you can create private models for your specific needs. With a single API call, you can fine-tune open-source LLMs, so that you have full transparency and ownership over your model. Gradient is also SOC 2 compliant and maintains the highest standards of data security.
You can seamlessly build your customized models into various AI applications. Whether you’re looking to create a chatbot that talks to you like your favorite movie character or to build a robust enterprise LLM that interprets your sensitive data effectively, Gradient makes it easy, fast and secure. ✅
Gradient is a true API — you only pay for what you use! When you sign up, we give you $10 in free credits to start experimenting. 🪄
We’re so excited to see what you build and would love your feedback along the way! Join us (gradient.ai) if you want to build a custom and private AI applications together. 🤗
Congratulations on the launch! This is definitely a game changer and I cannot wait to see what developers and businesses will build with Gradient’s platform.
What are some of the use cases that your team has seen thus far? Curious to learn about how much time and money have been saved in some of these use cases given that Gradient has streamlined the process.
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@whoisnatelam Thanks Nathan! We're seeing people fine tune models for a variety of reasons, from improving model performance on specific tasks to experimenting with persisting long term memory into the model structure itself. Also super exciting: it's now possible for companies to provide private fine tuned models for THEIR customers. That was insanely cost prohibitive before our platform.
Gradient rocks!! Been using it since the early days, by far the easiest way to get a custom/private LLM model. So many ways you can use this.
Love the llama image btw, amazing 😂
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