Google新的AI搜索比GPT-4更强大吗？

Table of Contents

1. Introduction
2. Context on the Development of Google's AI Search
3. What is Google's New AI Search?
4. How to Access Google's AI Search
5. The Competitors in the Space
6. How Search has Evolved
7. The Future of Search Engines

1. Introduction

2. Context on the Development of Google's AI Search

• 2.1 Google's Innovation in Search Technology
• 2.2 Introduction of AI Chat Bots
• 2.3 Incorporating AI into Google's Search Engine

3. What is Google's New AI Search?

• 3.1 Understanding SGE (Search Generative Experience)
• 3.2 The Conversational Aspect of SGE
• 3.3 The Contextual Aspect of SGE
• 3.4 The Creative Aspect of SGE

4. How to Access Google's AI Search

• 4.1 Using Performance Max
• 4.2 Exploring Search Labs

5. The Competitors in the Space

• 5.1 Overview of Vectra's Generative AI Conversational Search
• 5.2 Microsoft's Integration of Generative AI into Bing Search
• 5.3 Elasticsearch's Introduction of Elasticsearch Generative Search (EGS)

6. How Search has Evolved

• 6.1 Information Retrieval Engines: A Brief History
• 6.2 Search and Answer Engines
• 6.3 Action Engines: The Rise of Conversational Interfaces

7. The Future of Search Engines

• 7.1 Balancing Creativity and Realism in AI-Generated Content
• 7.2 Building Trust in AI-Driven Search Results
• 7.3 Google's Efforts in Shaping the Future of Search

8. Conclusion

Google's New AI Search: Revolutionizing the Way We Find Information

Google recently introduced a groundbreaking advancement in search technology - artificial intelligence-powered search. This new era of search, known as Search Generative Experience (SGE), has the potential to transform how we find information, conduct online business, and use the internet as a whole. In this article, we will Delve into the details of Google's AI search, explore its features and capabilities, discuss how to access it, and analyze the emerging competitors in this rapidly evolving market.

Introduction

In today's digital age, search engines play a vital role in our daily lives. Google, being the undisputed innovator in search engine technology, constantly strives to enhance the search experience for its users. With the rise in popularity of AI chatbots and the sophistication of generative AI, Google saw an opportunity to further improve its search engine by incorporating AI capabilities. This led to the development of SGE, a set of AI-driven features designed to make search more conversational, contextual, and creative.

Context on the Development of Google's AI Search

Google has always been at the forefront of innovation in the search industry. With billions of queries processed every day, Google has been using AI to enhance its search algorithms for years. However, the introduction of generative AI, which allows the AI system to Create new information, takes Google's search capabilities to the next level. Google debuted SGE at its annual developer summit, Google I/O, in May 2023, generating enormous excitement among fans of artificial intelligence and technology.

What is Google's New AI Search?

SGE aims to revolutionize the way we use search by improving its conversational, contextual, and creative aspects. One of the key characteristics of SGE is its ability to make search more conversational. Users can now Interact with Google using natural language, allowing them to ask questions and get answers without having to rely on specific keywords or phrases. SGE also contextualizes search, understanding the context of user inquiries, and delivering more individualized and Relevant results Based on preferences, location history, and other variables.

The most exciting aspect of SGE is its creative edge. Google can now use generative AI to generate new information based on user queries. For example, requesting to see pictures of cool shoes may lead to AI-generated images of trainers that don't exist yet, but Align with the user's personal style and the latest fashion trends. SGE empowers users to explore new horizons and go beyond pre-existing information or content.

How to Access Google's AI Search

Accessing Google's AI search can be done through two methods: Performance Max and Search Labs. Performance Max offers advertisers a campaign Type in Google ads that utilizes AI to reach customers across all Google platforms. By providing data and resources, advertisers can utilize SGE to produce customized assets that are optimized before being shown to the right customers.

On the other HAND, Search Labs allows users to test new features in development before they become available to the general public. By logging into google.com/Labs, users can participate in experiments like chat mode or image generation. By including a hashtag in their search query, they can enable or disable experimental features. While Search Labs is currently invite-only, it is expected to open up to a wider audience in the near future.

The Competitors in the Space

While Google leads the way in AI-powered search, there are emerging competitors in the market that aim to provide alternative and sometimes superior generative AI conversational search experiences. One notable competitor is Vectra, a startup that claims to offer a superior platform. Vectra utilizes hybrid search technologies and grounded generation methods to deliver more accurate and unbiased results while prioritizing user privacy.

Microsoft is another key player in the AI search space. Although Bing may not have the same market share as Google, Microsoft has long been leveraging AI to enhance its search engine. Bing offers features like Bing Answers, Bing Image Generator, and Bing Content Creator, all of which utilize generative AI capabilities to provide direct answers, generate images based on descriptions, and create content like summaries or Captions.

Elasticsearch, an open-source search engine powering numerous websites and applications, has also taken steps to integrate generative AI into its offerings. They recently introduced Elasticsearch Generative Search (EGS), a service that enables developers to build chatbots for Google using generative AI models. Elasticsearch aims to keep up with the rapidly evolving search landscape by leveraging the power of AI.

How Search has Evolved

To understand the significance of AI-powered search, it is essential to grasp how search engines have evolved over time. In the early days, search engines like Alta Vista and Yahoo operated as information retrieval engines, providing users with a list of links based on specific keywords. However, these engines often returned irrelevant results and relied heavily on users' ability to enter precise keywords.

The advent of search and answer engines, exemplified by Google and Bing, marked a shift towards AI-driven search. Instead of relying on users to visit other websites for answers, these search engines used AI to directly respond to queries. While these systems were helpful, they sometimes failed to understand the context and preferences behind users' queries, leading to biased results.

Today, we find ourselves in the era of action engines, which utilize advanced AI methods and conversational interfaces to generate fresh content that caters to individual preferences and up-to-date trends. AI models like ChatGPT and Dolly can produce personalized outcomes based on users' fashion preferences and Current interests. However, striking the right balance between creativity and realism, while also gaining public trust in AI-generated content, remains a challenge.

The Future of Search Engines

The future of search engines lies in navigating the intersection of creativity, realism, and user trust. As generative AI continues to advance, search engines will be able to provide even more tailored and interactive experiences. Google is at the forefront of shaping this future, constantly pushing boundaries and embracing AI's potential. AI-driven search holds the promise of revolutionizing how we find information and interact with technology.

In conclusion, Google's new AI search, SGE, represents a significant advancement in the way we discover information. By emphasizing conversational, contextual, and creative aspects, Google aims to enhance the search experience and provide more personalized and engaging results. The competition in this space is growing, with companies like Vectra, Microsoft, and Elasticsearch integrating generative AI into their search offerings. As search engines evolve, we can expect AI to play an increasingly influential role in shaping the future of search.