AI Foundation Models: Choosing The Best Model For Your Use Case
AI is rapidly advancing through foundation models, master linguists at their core, forming the bedrock for diverse AI applications.
Foundation models, also known as base models or pre-trained models, are massive models that have been trained on vast amounts of data. These models are a starting point for many Vision and NLP tasks, such as image generation, question answering, text generation, translation, sentiment analysis, and more.
Use our UI or our SDKs to upload your own model or choose from thousands of the world’s best models in our community. Once a model is uploaded, it’s automatically available for any amount of production traffic. Clarifai solves the ML Ops headaches for you so you can focus on building value.
Harness the power of any foundation model's embeddings as the base for your own fine-tuned model. Fine-tuned models train an order of magnitude faster and cheaper for domain-specific tasks.
Use the outputs of foundation models in workflows to automate tasks. For example, while GPT 3.5 can complete labeling tasks easily, the process of taking its outputs and applying them to thousands of data points is laborious. Clarifai can create labeling automation.
Foundation models wrapped in the Clarifai API can be easily swapped out or fine-tuned again using the same data. We provide a common interface for all foundation models we offer, and it's a simple process to evaluate new ones for your use cases.
The largest LLMs can only handle up to 20,000 words of factual information for answering questions. With Clarifai, you can provide 100's of pages of information for your models to use.
Many tasks you’ll need LLMs for are repeatable. By making these part of your Clarifai application, you won’t need to re-enter prompts the same way every time.