Large language models (LLMs) are gaining attention for their capability in classifying nuclear medicine text reports and enabling chat with knowledge base using the Retrieval Augmented Generation (RAG) technique. Abacusai's platform allows building and scaling LLM applications at a fraction of the cost of GPT-4. Customized LLM deployment methods are being explored to reduce costs. LLMs are seen as having the potential to enhance communication, information accessibility, and problem-solving in society.
Large language models (#LLMs) hold the potential to significantly impact society by enhancing communication, information accessibility, and problem-solving.
Building a new large language model (LLM) from scratch can cost a company millions — or even hundreds of millions. But there are several ways to deploy customized LLMs that are faster, easier, and, most importantly, cheaper. https://t.co/rGzGsCDPuj
You can build and scale LLM applications within minutes using our platform. It's 20x cheaper than GPT-4! • Set up and scale RAG applications • Pick any open-source LLM to power your RAG apps • Customize chunking, embedding, and retrieval strategies https://t.co/p69PqACXpx https://t.co/NGxgLWM9mg
Chat with your knowledge base within minutes using the Retrieval Augmented Generation (RAG) technique and fine-tuned LLMs Check it out: https://t.co/p69PqACXpx https://t.co/NTiJ6j59bz
Large language models are highly capable of classifying nuclear medicine text reports https://t.co/oYXRICUaWZ @TyBradshaw11 @JunjieHu12 #LLM #Transformer #AI https://t.co/fRJKbczXTP