PromptLoop AI

Your Mom and the UPS man have probably been asking you about the?DeepSeek AI releases. No spicy takes ??? but here's an early look at some of our stats The news of the new open source model released to the public along with the research used to create it last week has moved markets. While there's plenty written about changes to big tech's 5-year projections the implications are different on the ground - especially for companies that use models daily to serve customers. I shared last week how PromptLoop AI trains and manages dozens of models to give our customers the most accurate and affordable service. When a new Open Source model is released, and the research that accompanies it, a company like ours, that uses models for its product, is generally presented with a better and cheaper option. This progress benefits everyone: most of our competitors will have access, so model prices eventually fall, as do costs to the customers themselves. Specifically, we take advantage of each new iteration of models (GPT3, GPT4, Claude Sonnet, DeepSeek, etc) to improve and generate better data to train and distill smaller and cheaper models on. This is a constant turning of the wheel and takes a tremendous amount of work ?? Andrew M.. When a new model like DeepSeek R1 is released, it presents the opportunity to use this big new smart (but slow and expensive) model to help create smaller and more accurate models. As demonstrated in the graph, for very specific tasks that PromptLoop serves for its users, namely research and web search, the gap between the cost savings of our models and the largest alternatives is massive. We can pass these savings on to companies allowing them to run hundreds of thousands of tasks with accuracy equivalent or better than the biggest models but not pay 80x more ??????.

I just got off a call that reminded me of something that I have been hearing a lot. People are always surprised that we share some of our most sophisticated web crawling workflows as free templates. The mechanics behind going from a spreadsheet list of companies to enriched data is not simple, and has taken a huge amount of work to get right, but taking advantage of it is as easy as ever. This mental check list is usually what we walk pospects through as they are getting started with PromptLoop. 1. What ideal information do you, or your customers, need in a dataset to get where you want to go? 2. How are you researching this information already? Reading websites, searching google, LinkedIn?... 3. What is the ideal format you want results back in? If you can answer these questions, you can probably start to benefit from PromptLoop right away and then move on to more advanced use cases.