The MLOps Monthly Mini #11

1. LLMs: A Practical Guide to Real-World Deployments

Unlock the power of LLMs with our new must-read guide! ??

We recently released, "The Practical Guide to Deploying LLMs in Production" ?? to help you maximize the potential of large language models in real-world systems. In this comprehensive resource, we explore foundational LLM elements, from architecture and use cases to resource management and monitoring. ??

You'll learn key strategies from our Head of Customer Success Andrew Wilson and MLOps Engineer Sherif Akoush for addressing critical factors like ethics ??, scalability ??, and precision ?? when running LLMs in production. Whether you're just starting with LLMs or optimizing existing deployments ??, this guide provides invaluable insights.

Download it here: https://bit.ly/3QJ3WFX ??

2. Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution

Reasoning is the next big step for Large Language Models (LLMs). ???? There's been several different strategies used to try to enhance the reasoning capabilities of LLMs.

One of the most popular LLMs prompts at the moment is Chain-of-Thought Prompting ?, because of its ability to dramatically improve the reasoning abilities of LLMs. However, these hand-crafted prompt strategies can often fall short.

Researchers from Google DeepMind developed a new technique called Promptbreeder. ?? LLMs automatically evolve their own better prompts. It works by mutating ?? and combining prompts over generations to find the best ones for a given task.

The key innovation is that Promptbreeder also evolves the mutation prompts themselves in a self-referential loop ??, so the prompts get smarter over time.

Read the research paper here: https://bit.ly/4640cDi ??

3. Tackling Healthcare's Biggest Burdens with Generative AI

An estimated 30% of the world's data volume is generated by the healthcare industry ??, and now that data is used as an asset to power generative AI.

Healthcare businesses have used AI technology for years, but GenAI represents a meaningful new tool to help unlock the $1 trillion ?? of improvement potential the sector has.

There are several opportunities for GenAI to enhance the patient experience— from faster resolution of claims denials ? to turning a patient interaction into clinician notes in seconds. ?

Because patient healthcare information is particularly sensitive, it's important to maintain the integrity of data security with techniques like having a "human in the loop". ??

Learn about the emerging GenAI use cases for private payers, hospitals and physician groups here: https://mck.co/47jSTZs

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Like what you read??The MLOps Monthly Mini is just a small?sneak peek?of our top MLOps resources for the month:

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