Latest Generative AI products and solutions on Google Cloud

TensorFlow
14 Dec 202314:35

TLDRYvonne Li, an ML engineer, discusses the pivotal role of generative AI in 2023, highlighting key projects like the Jump Start solution for document summarization and the development of Duet AI. She emphasizes the importance of prompt engineering and the potential of foundation models like PaLM 2 in revolutionizing various industries by automating workflows and enhancing productivity.

Takeaways

  • ๐Ÿš€ Yvonne Li, an ML engineer, discusses the key projects in generative AI (gen AI) from the past year and its impact on various industries.
  • ๐ŸŒŸ Gen AI, particularly large language models (LLMs), has been a significant focus in 2023, with widespread interest in its potential applications.
  • ๐Ÿ’ก The revolution in gen AI is driven by advancements in compute power, data availability, research breakthroughs, and open-source contributions.
  • ๐Ÿ› ๏ธ Foundation models like PaLM 2 are versatile AI models that can be adapted to numerous tasks with minimal additional training, offering robust predictive capabilities.
  • ๐Ÿ” Google Cloud's Vertex AI platform and Model Garden provide a curated experience for discovering and customizing various AI models, including LLMs.
  • ๐Ÿ“ Prompt engineering is a technique used to effectively extract meaningful answers from LLMs without the need for retraining or fine-tuning.
  • ๐Ÿš€ Google Cloud's Jump Start Solutions are pre-built, open-source solutions designed for quick deployment and learning about Google Cloud technologies.
  • ๐Ÿ“Š The document summarization Jump Start Solution leverages OCR and LLMs to process and summarize large volumes of PDF documents, aiding in business migration to the cloud.
  • ๐Ÿ’ป Duet AI aims to integrate large language models into a platform experience that assists developers in writing code, answering questions, and enhancing productivity.
  • ๐Ÿค– Duet AI supports conversational assistance and AI pair programming, providing contextual suggestions and reducing the barrier for developers tackling new problems.
  • ๐ŸŽ‰ Yvonne Li concludes by highlighting the importance of the Women in ML Summit and extends holiday and new year wishes to the audience.

Q & A

  • What does Yvonne Li do at her company?

    -Yvonne Li is an ML engineer on the Duet Platform Team. She was previously on the Data and AI Team.

  • What is the significance of 2023 in the context of the presentation?

    -2023 is considered a defining year for generative AI, with a focus on large language models and their potential applications.

  • What are the key areas of generative AI that Yvonne will discuss?

    -Yvonne will discuss the definition of generative AI, prompting and prompt engineering strategies, the development of end-to-end solutions like the Jump Start solution, and the Duet AI platform.

  • What factors have contributed to the AI-driven revolution in 2023?

    -The AI-driven revolution has been fueled by massive compute power, access to large amounts of data, breakthrough research like 'Attention is All You Need', and the availability of open-source tools and community contributions.

  • What is a foundation model in the context of AI?

    -A foundation model is a large AI model that can be adapted to a wide range of tasks after being trained on a massive amount of unlabeled data. It requires little to no additional training and can be fine-tuned with minimal example data.

  • How does Google Cloud contribute to the field of natural language research?

    -Google Cloud is a leader in natural language research and offers foundation models like PaLM 2. It also provides a platform for discovering, tuning, and customizing models through Model Garden on Vertex AI.

  • What is the purpose of the Vertex AI platform?

    -Vertex AI is an end-to-end ML platform designed to help developers and data scientists accelerate the delivery of ML models and applications to production, now enriched with generative AI capabilities.

  • What is prompting or prompt engineering in the context of LLMs?

    -Prompting or prompt engineering is the process of effectively using large language models to extract meaningful answers by improving model responses through advanced prompting techniques, without the need for retraining or fine-tuning.

  • Can you explain the Jump Start Solutions by Google Cloud?

    -Jump Start Solutions are pre-built, open-source solutions that allow for quick deployment and learning about Google Cloud technologies. They are easy to use, customizable, and come with comprehensive documentation.

  • What is the document summarization use case in Jump Start Solutions?

    -The document summarization use case involves summarizing a large corpus of PDF documents by using OCR to convert text to PDF and then employing a large language model, such as PaLM 2, to generate a summary of the document.

  • How does Duet AI aim to assist developers in their daily tasks?

    -Duet AI aims to assist developers by providing conversational assistance for technical problem-solving and an AI Pair Programmer that offers contextual suggestions, reducing the barrier when tackling new problems and increasing productivity.

Outlines

00:00

๐Ÿš€ Introduction to Gen AI and its Impact

Yvonne Li, an ML engineer on the Duet Platform Team, introduces herself and sets the stage for a discussion on generative AI (gen AI). She reflects on the past year's key projects and highlights 2023 as a pivotal year for gen AI, marked by significant advancements in large language models. Yvonne outlines the agenda for the presentation, which includes explaining gen AI, prompting strategies, the development of the Jump Start solution, and the Duet AI platform. She emphasizes the transformative potential of gen AI in various sectors and the importance of understanding its capabilities and limitations, especially in sensitive areas like healthcare and financial services.

05:01

๐ŸŒŸ Enhancing Google Cloud with Gen AI and Model Garden

The second paragraph delves into the integration of gen AI with Google Cloud, enriching the platform's capabilities. Yvonne discusses the Model Garden, a curated experience for discovering foundation models like PaLM 2, which can be adapted to numerous tasks with minimal training. She explains the concept of foundation models, their versatility across different data types, and their potential to be integrated into daily use. Yvonne also introduces the Vertex AI platform, which aids developers and data scientists in accelerating the deployment of ML models and applications. The paragraph underscores the ease of use, customization, and the community-driven aspect of these technologies.

10:02

๐Ÿ› ๏ธ Duet AI: Streamlining Developer Workflows

In the final paragraph, Yvonne focuses on Duet AI's mission to enhance developer productivity on Google Cloud. She references a Stack Overflow survey to illustrate the common challenges developers face, such as spending significant time searching for solutions and encountering knowledge silos. Yvonne presents Duet AI as a solution that offers conversational assistance and AI pair programming to streamline problem-solving and coding processes. She provides a detailed example of how a developer named Sam could leverage Duet AI to improve his workflow, from generating code and translating content to debugging and testing. Yvonne concludes by summarizing the key points discussed throughout the presentation and encourages the audience to explore the resources provided. She extends her thanks and well wishes for the holidays and the upcoming New Year.

Mindmap

Keywords

๐Ÿ’กgen AI

gen AI, short for generative artificial intelligence, refers to AI systems capable of creating new content, such as text, images, or audio. In the video, gen AI is the central theme, highlighting its impact on technology and various industries. The speaker discusses the revolutionary nature of gen AI, particularly in the context of large language models and their applications in everyday life, from chatbots to digital avatars.

๐Ÿ’กLarge Language Models (LLMs)

Large Language Models (LLMs) are a class of AI models that process and generate human-like text based on the input they receive. These models are trained on vast amounts of data and can perform a variety of language tasks, such as summarization, translation, and question-answering. In the video, the speaker discusses the predictive capabilities of LLMs and their role in the gen AI revolution, emphasizing their ability to understand and produce robust outputs.

๐Ÿ’กPrompting

Prompting, in the context of AI, refers to the process of providing input to an AI model to elicit a desired response. It is a critical aspect of interacting with LLMs and is discussed in the video as a technique to improve model responses without the need for retraining or fine-tuning. The speaker mentions prompt engineering as a key strategy to extract meaningful answers from LLMs, highlighting advanced prompting techniques like future planting and chain of thought.

๐Ÿ’กFoundation Models

Foundation models are large AI models that can be adapted to a wide range of tasks after being trained on massive amounts of unlabeled data. These models require little to no additional training and can perform well out of the box, making them versatile tools for various applications. The video discusses foundation models as a significant development in AI, with capabilities across different data types, such as text, images, and code.

๐Ÿ’กGoogle Cloud

Google Cloud is a suite of cloud computing services offered by Google, which includes various machine learning and AI tools. In the video, Google Cloud is mentioned as a leader in natural language research and the provider of foundational models like PaLM 2. The speaker also discusses Vertex AI, a part of Google Cloud that helps developers and data scientists accelerate the delivery of ML models and applications.

๐Ÿ’กPaLM 2

PaLM 2, or Pathways Language Model 2, is a foundational model developed by Google Research. It is designed to handle a variety of language tasks and is capable of generating responses across different data types. In the video, PaLM 2 is highlighted as an example of a foundation model that can be used in various applications, such as document summarization and code translation, showcasing its adaptability and generative capabilities.

๐Ÿ’กModel Garden

Model Garden is a feature within Google Cloud's Vertex AI platform where users can discover, tune, and customize AI models, including both Google and external models. It provides a curated model discovery experience, allowing users to find and use suitable models for their specific needs. In the video, the speaker mentions Model Garden as the place where LLMs, including foundation models, reside and can be explored.

๐Ÿ’กJump Start Solutions

Jump Start Solutions are pre-built, open-source solutions offered by Google Cloud that enable quick deployment and learning about Google Cloud technologies. These solutions are designed to be easy to use and customize, and they come with comprehensive documentation. In the video, the speaker discusses Jump Start Solutions in the context of document summarization, emphasizing their one-click deployability and cost-effectiveness.

๐Ÿ’กDuet AI

Duet AI is a unified platform experience on Google Cloud that aims to integrate large language models into various aspects of users' daily tasks, such as coding, answering questions, and increasing productivity. In the video, the speaker describes Duet AI's mission and its potential to assist developers by providing conversational assistance and acting as an AI pair programmer, enabling more effective and strategic work.

๐Ÿ’กAI-driven revolution

The AI-driven revolution refers to the significant changes and advancements in technology brought about by artificial intelligence, particularly in areas like natural language processing and machine learning. The video discusses this revolution in the context of gen AI and LLMs, emphasizing the growing relationship between humans and technology and the potential for automation and innovation in various industries.

๐Ÿ’กML engineer

An ML engineer, or machine learning engineer, is a professional who develops, maintains, and optimizes machine learning models and systems. In the video, the speaker identifies as an ML engineer on the Duet Platform Team, discussing their role in the development and application of gen AI technologies, as well as their focus on prompting techniques and platform experiences like Duet AI.

Highlights

Yvonne Li, an ML engineer, shares her journey and key projects in the field of generative AI over the past year.

The year 2023 is marked as a significant year for generative AI, with a focus on large language models and their potential applications.

Generative AI is revolutionizing the relationship between humans and technology, with applications in various modes such as text, audio, video, and images.

Enterprise-scale use cases for generative AI technology are being explored, including automation of new workflows in industries like healthcare and financial services.

The current AI-driven revolution is fueled by massive compute power, access to vast amounts of data, and breakthrough research like 'Attention is All You Need'.

Foundation models, such as PaLM 2, are large AI models capable of adapting to a wide range of tasks with minimal training on unlabeled data.

Google Cloud's Vertex AI platform is an end-to-end ML platform designed to accelerate the delivery of ML models and applications to production.

Prompting or prompt engineering is a technique used to effectively extract meaningful answers from large language models without the need for retraining or fine-tuning.

Google Cloud Jump Start Solutions are pre-built, open-source solutions that facilitate quick deployment and learning about Google Cloud technologies.

The document summarization Jump Start Solution uses OCR and large language models like PaLM 2 to process and summarize PDF documents.

Duet AI on Google Cloud aims to integrate large language models into a platform experience that can assist in coding, answering questions, and increasing productivity.

Duet AI offers conversational assistance and AI Pair Programming to help developers overcome knowledge silos and work more effectively.

Sam, a software engineer, uses Duet AI to improve his productivity by generating code, translating content, and debugging more efficiently.

Yvonne emphasizes the practical applications of generative AI and its potential to transform various industries and workflows.

The Women in ML Summit is a special event that brings together professionals in the field to share knowledge and experiences.

Yvonne invites the audience to reach out for any questions and encourages engagement with the resources shared during the presentation.