Join our GenAI product showcase on Oct 5. Take LLMs to production! Register here→
Learn to ship LLMs like a pro in our ebook: Everything Large Language Models! Get Now→
.png)
.png)
In this article, we discuss about deploying Falcon model on your own cloud. The Technology Innovation Institute in Abu Dhabi has developed Falcon, an innovative series of language models. These models, released under the Apache 2.0 license, represent a significant advancement in the field. Notably, Falcon-40B stands out as a truly open model, surpassing numerous closed-source models in its capabilities. This development brings tremendous opportunities for professionals, enthusiasts, and the industry as it paves the way for various exciting applications.
The ChatGPT moment of the open source world is here - Meta released its latest set of open-source large language models, called Llama 2 - a collection of pre-trained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters.
After attending the LLMs in Production conference organized by the MLOps Community in San Francisco, we realized the immense value in compiling the knowledge and insights shared by esteemed speakers into a comprehensive eBook. That's why we partnered with the vibrant MLOps Community to curate this valuable resource, designed to equip you with the knowledge and insights needed to navigate the complex landscape of LLMs in production.
In this blog, we will explore the importance of LLMOps and how it tackles the challenges associated with LLMs, such as iteration, prompt management and testing complexities. We also go a step further and suggest how you can get started on your LLMOps journey.
The purpose of this article is to educate the reader about how Large Language Models (LLM) pricing works. This is motivated by our conversations with multiple companies using LLMs commercially. We realized in these conversations that LLM economics is often misunderstood, leaving a huge scope for optimization.
.png)
%201.png)
.png)
