The Prompt Optimization Stack, an Overview of LLMOps, and Using Synthetic Data for LLMs

ODSC - Open Data Science
ODSCJournal
Published in
5 min readOct 5, 2023

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The Prompt Optimization Stack

A lot goes into successful prompt engineering. However, with this thorough prompt optimization guide, you’ll know exactly how to perfect this new art.

What Exactly are Large Language Model Operations (LLMOps)?

As large language models gain importance, it’s now more needed than ever to develop maintenance and deployment frameworks — enter LLMOps.

How Synthetic Data Can Be Used for Large Language Models

Let’s take a look at a few reasons why companies are looking to synthetic data to train their large language models.

Advantages of AI Conferences for Emerging Startups

From field marketing to connecting with venture capitalists, here are a few reasons why attending AI conferences might be the best play for your startup.

Equidistant from San Francisco and Silicon Valley, ODSC West will take place in the epicenter of the AI boom. Join us for a deep dive into the cutting-edge advancements driving the future of AI.

Register by Friday for 40% off!

How Machine Learning Can Be Used to Cut Energy Bills

Here’s how machine learning and AI are making power cheaper for companies and consumers.

General Availability of Amazon Bedrock Announced

Meet Amazon Bedrock, a game-changing development in generative AI that Amazon promises will reshape the landscape of artificial intelligence.

Microsoft Goes All in With AI Through Copilot in Latest Windows Update

Microsoft’s Copilot will begin to roll out in its early form as part of a new and free update to the Windows 11 operating system.

OpenAI Unveils DALL-E 3 & Users Can Generate Images in ChatGPT

OpenAI has unveiled its latest version of DALL-E 3 as part of a research preview, a significant upgrade for AI-generated image systems.

Getty Images to Debut AI Image Generator

Getty Images is set to debut its own AI image generator in an attempt to generate content free of copyright concerns.

Global Artificial Intelligence Market Will See a Massive Growth of 31% Through 2030

According to a report, the global AI market will see a massive 31% CAGR through 2030, with North America and China seeing the greatest gains.

NASA to Harness AI to Monitor the Skies for Unidentified Anomalies

NASA says that it will begin to use new advancements in artificial intelligence to better monitor the skies for unidentified anomalies.

How to Make Your Own ODSC West Schedule

Everyone has different priorities and interests, so a conference schedule should reflect that. Here’s how you can customize your ODSC West schedule with ease.

13 Companies Leading the Way in AI Development

Let’s take a quick look at some of the companies that will be at the ODSC West AI Expo, what they do, and how they’re changing the AI landscape.

ODSC West Hackathon

Join us on October 31st for the ultimate Multimodal AI Hackathon, where you’ll have the opportunity to showcase your skills, learn from other experts in the field, and create something truly unique!

ODSC West Startup Showcase

ODSC offers various opportunities to showcase at our conferences depending on your startup size and funding. We provide a limited number of spaces at each event and they are generally allocated on a first-come basis to qualified startups. Join the ODSC AI Startup Showcase!

Video of the Week: Evolving Trends in Prompt Engineering for LLMs with Built-in Responsible AI Practices

The advent of LLMs like GPT, Llama, and PaLM has revolutionized AI, offering unique capabilities in enterprise search, summarization, conversational bots, and more. Organizations harness these LLMs through prompt engineering and fine-tuning, but challenges persist. In this talk, explore the cutting-edge dimensions of LLMs, including Prompt Engineering, Evaluation, Model Optimization & Deployment, and Responsible AI, and gain valuable insights into the evolving landscape of AI technologies.

Upcoming Webinars:

Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering

Thu, Oct 5, 2023 12:00 PM — 1:00 PM EDT

Join dotData Sr. Data Scientist Sharada Narayanan as she dives into the strengths, uses, and limitations of popular time-series forecasting techniques like ARIMA and Prophet. Sharda will walk through real-world examples, share code snippets, and explore how ARIMA Prophet compare when building models using Feature Engineering techniques and advanced machine learning algorithms.

Lightning Interview: “Large Language Model Operations: The Next Frontier in MLOps”

Fri, Oct 6, 2023 11:00 AM EDT

In our upcoming Lightning Interview with Sahar Dolev-Blitental, VP of Marketing at Iguazio, we’ll explore how our approach to MLOps needs to change for Large Language Models, and the ways it can stay the same. You’ll delve into the emergent field of LLMOps, and discuss what’s required to operate LLMs in a production environment.

Responsible model training, monitoring, and comparison with Azure Machine Learning

Tue, Oct 10, 2023 12:00 PM — 1:00 PM EDT

Come learn how Microsoft builds responsible AI leveraging Azure OpenAI, Azure Content Safety, PromptFlow, and Model Monitoring for Generative AI. Azure AI enables you to evaluate, mitigate content harms, deploy, and monitor for safety & quality (such as hallucinations) in production.

Lightning Interview: “The Storied History of Video Games and AI”

Fri, Oct 13, 2023 12:00 PM EDT

The relationship between video games and artificial intelligence has been decades in the making. Video games, for example, have required the use of powerful GPUs, and without GPUs, AI wouldn’t be what it is today. In this upcoming Lightning Interview, we’ll speak with the legendary Jack McCauley about the storied history of video games and AI, how the fields intersect now, and what the future holds in store for AI and

Lightning Interview: “No-Code and Low-Code AI: The New Era of Inclusive Tech Development”

Fri, Oct 20, 2023 1:00 PM EDT

This live, virtual lightning interview, with Gwendolyn D. Stripling, PhD, Lead AI & ML Content Developer at Google Cloud and author of Low-Code AI: A Practical Project-Driven Introduction to Machine Learning, will explore how low- and no-code AI is ushering in an era for more inclusive tech development. Discover how aspiring citizen data scientists, business analysts, data analysts, students, and data scientists can get hands-on and experiment with and work on tech development.

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ODSC - Open Data Science
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