Infermatic offers a unified platform that grants people easy access to top-tier Large Language Models for their projects, research, or integration requirements.
Simple
Infermatic’s simple design makes it user-friendly for everyone, allowing them to focus on their work without getting overwhelmed by complicated features.
Scalable
Infermatic scales with your business, providing you with the necessary resources at any stage of growth or change.
Secure
Infermatic prioritizes security through robust measures like regular system updates and strong encryption to safeguard your data.
Our Offerings
TotalGPT Free
- Limited generations per minute with a shorter length.
- 60 token responses, 300 requests per day.
- No API access.
TotalGPT Plus
$20/mo $15/mo
- More generations per minute with a much longer length and very high daily limits.
- Includes API access.
- 512 token responses, 86,400 requests per day on our UI.
- API: No daily request limits, 18 requests per min, max 2 parallel request.
G2G: Geek-to-Geek
Looking for our sales department? We don’t have one. Infermatic is by geeks, for geeks. We’re passionate about this technology and want to reach others who are as well. Infermatic is unique because we connect the customer directly to the model via our API endpoint—no provisioning, no configuration, and no cold starts.
Reach your dreams
We focus on giving you the best experience when using our service:
- state-of-the-art hosting for advanced ML models.
- fine-tuning robust API’s
- Privacy: We don’t log any of the models outputs or prompts
With
Infermatic
Frequently Asked Questions
- What is prompt engineering, and why is it critical in working with LLMs?
- How can I design effective prompts for LLMs?
- What are some standard techniques used in prompt engineering?
- How does prompt length impact the output of an LLM?
- How do LLMs understand and generate human-like text?
- What is the difference between Llama, Mixtral, and Qwen?
- What are some examples of advanced use cases of prompt engineering with LLMs?
- How do I choose the best LLM model for my project?
- What are large language models, and how do they differ from traditional NLP models?
- Can LLMs write code well?