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Large language models (LLMs) have become essential tools in various industries. While we previously discussed how to select the best LLM for your needs, we haven’t yet explored how to optimize LLMs for cost-efficient, production-ready setups. While there are a host of options for optimization, in this article, we’re going to explore options for optimizing LLMs including the usage of Open-Source, hardware selection as a strategy, and experiments driving our understanding of the benefits of modifying precision values. 

Discover the cutting-edge technology behind AI-generated images. This article explores the algorithms, techniques, and applications of AI image generation, from machine learning to diffusion models. Learn about the potential benefits and risks of this rapidly evolving field.

The digital world of 2024 is becoming increasingly indistinguishable from reality. Deepfakes – those eerily convincing AI-generated imitations – are no longer the stuff of sci-fi thrillers. They're here, lurking in our social media feeds, news cycles, and even personal interactions.

Struggling to create buyer personas? Discover how non-tech professionals can leverage AI to streamline the process. This post explores using ChatGPT to generate detailed personas and craft effective outreach messages. Learn how to optimize prompts and refine your approach for optimal results.

Modern data platforms can significantly improve organizational agility. Learn how cloud computing and advanced technologies streamline data analytics and decision-making.

Our last post comparing Claude Opus vs GPT 4 highlighted Claude’s capabilities in areas such as summarization, spatial understanding, human-like writing style, and advanced knowledge.

Every day more of us get our morning wake up from Siri or Alexa, the news and weather from our Google Assistant, and begin to turn our lights on just from wishing it out loud.

Using LLMs to Create API Calls. Proxet answers the call to experiment - should data engineers be considered with this new use case for LLMs?

We’ve done the research and looked at benchmarks - read our analysis!

Enhance LLM accuracy with RAG: A cost-effective method for reliable outcomes. Building and evaluating a RAG-based solution is key.

How LLMs can help us solve the very errors in document understanding that they initially induce

With flashy new capacities, is GPT-4 Turbo worthy of "most capable ever" claims? We outline areas where it may still come up short. Read our analysis.