AI News of July 2023
Gather around to check out the hottest AI news of June so that you can ace AI marketing. Google Cloud makes generative AI models more accessible with Vertex, Google Search Central Live was held in Tokyo, and Adobe Illustrator adopts new AI features. Scroll down to keep up with the fast-growing AI landscape.
Declared At Google Search Central Live in Tokyo: Create Content for People, Not Robots
Google Search Central Live in Tokyo was an eagerly awaited event for website owners, digital marketers, web developers, and SEO professionals. It provided valuable insights on SEO best practices and Google search optimization, and was Japan’s first in-person gathering since 2019.
The event emphasized the importance of a human-centric approach to content development and shed light on Google’s advancements in generative AI.
When it comes to AI, quality is more important than how content is created. #SearchCentralLive
— Kenichi Suzuki💫鈴木謙一 (@suzukik) June 16, 2023
Key Updates on Bard and Google’s AI Content Guidelines
During the event, Google Analyst Gary Illyes shared updates on Bard, Google’s AI language model. He revealed upcoming features and discussed Google’s efforts to combat mass-produced content. Google aims to share solutions through Google AI and has specified in its AI content guidelines that there is no obligation to label AI-generated content.
Creating Content for Humans, Not Just Search Engines
A major takeaway from the event was the emphasis on creating content that appeals to humans rather than solely focusing on search engine optimization. Attendees appreciated this reminder, which was further emphasized by Google SearchLiasion.
The event promoted a human-centric approach to content development, recognizing the importance of engaging and valuable content.
If you create content, a reminder: create your content for people, not robots, for success with Google Search. That’s long been our advice. For a refresher, see our guidance about creating helpful, reliable, people-first content: https://t.co/NaRQqb1SQx
— Google SearchLiaison (@searchliaison) June 16, 2023
Understanding Generative AI
An attendee shared a comprehensive Google document that answered frequently asked questions about generative AI. It clarified that generative AI involves machine learning models that use patterns to create new content, such as text, images, music, and code.
However, it cautioned that large language models (LLMs) might contain factual errors in their responses. Proper management of LLMs involves data filtering, model fine-tuning, and fact-checking.
Google’s Commitment to Search Quality
The event highlighted Google’s commitment to maintaining search quality through recent updates. The spam reporting form was enhanced, enabling users to report various types of spam and abuses, thereby contributing to better search results.
Attendees also discovered the usefulness of the Google Search Status Dashboard, which provides real-time information on crawling, indexing, ranking, and serving issues that might impact their websites.
Google Search Central Live in Tokyo provided valuable insights and knowledge to improve attendees’ understanding of Google Search and enhance their website performance.
The event emphasized a human-focused approach to content creation in the age of generative AI. Attendees were able to exchange tailored content, and gain a deeper understanding of SEO best practices and Google’s advancements in AI.
Google Cloud Expands Generative AI Capabilities in Vertex AI Platform
Google Cloud is making advanced generative AI models more accessible with the latest update to its Vertex AI platform. By introducing generative AI support, Google aims to democratize AI technologies and empower a broader audience.
With the new capabilities, users can now leverage Google’s extensive generative AI models through the Vertex AI platform. These models cover a range of content types, including text, chat, images, code, and text embeddings. Users can select the most suitable model for their specific use cases, categorized based on content generation capabilities.
What Is In for Digital Marketers?
One noteworthy available model is PaLM 2, an enhanced language model that drives the PaLM API. It offers improved multilingual, reasoning, and coding capabilities, enabling more efficient and accurate language-based tasks. Digital marketing agencies and digital marketing tools can take advantage of this model in their day-to-day tasks.
Vertex AI also provides users with the power of the PaLM API, which utilizes large language models to generate text and code in response to natural language prompts.
The API offers specialized features tailored to various use cases that are everyday tasks of a digital marketing agency, such as text generation, multi-turn conversations, and code-related tasks.
Who is Using It?
Customers across different industries have already benefited from these advancements. For example, GA Telesis automated quote creation using the PaLM model, while GitLab’s code flaw explanation feature utilizes the Codey model.
Canva leverages generative AI for language translation and storytelling. Other companies, including Typeface and DataStax, are utilizing Vertex AI to develop innovative generative AI tools.
With these expanded generative AI capabilities, Google Cloud solidifies its commitment to democratizing AI by providing accessible models and empowering users to unlock the full potential of the Vertex AI platform.
Adobe Introduces AI-Powered Tools in Illustrator Update
Adobe has unveiled exciting updates to its renowned software, Illustrator, including the highly anticipated AI Generative Recolor tool. As part of Adobe’s broader software enhancements in 2023, Illustrator now offers six remarkable features, powered by AI innovations from Adobe Firefly.
Latest Features in Adobe Illustrator
The latest update to Adobe Illustrator, released on June 14th, 2023, introduces these new features. Alongside the buzz surrounding the AI Generative Recolor tool, there are other noteworthy additions.
Adobe Illustrator now includes the AI Generative Recolor tool. Designers and artists can effortlessly apply color themes or imagery to vector graphics, saving valuable time and enabling quick experimentation with colorways, branding changes, or black-and-white colorization.
Here is a mini review/tutorial of the new feature,
Share for Review
Collaborating with clients and teams becomes hassle-free with Adobe Illustrator’s Share for Review feature. Users can easily share their work, even with non-Creative Cloud account holders, via shareable links or direct invitations, and make seamless updates.
The Retype beta tool allows users to bring inspiration from text found “in the wild” directly into Illustrator projects. By importing images of text, Adobe Illustrator suggests matching Adobe Fonts, simplifying the font selection process.
Image Trace Improvements
Image Trace in Adobe Illustrator has received enhancements, offering better results and more options. Users can preview image trace styles before making a selection, while improved auto-detection ensures superior outcomes when converting raster images to vectors.
Adobe Illustrator now offers improved PDF functionality, allowing users to create PDF documents with enhanced features. Users can save presets, load popular settings by default, and add working hyperlinks to images and text, adding creativity while maintaining functionality.
Layers Search and Filter
To streamline workflow, Adobe Illustrator introduces a search and filter option for layers. Users can quickly find specific layers by text, shape, path, and other properties, making it easier to navigate complex artwork.
These updates address user demands and improve workflow efficiency. Features like PDF enhancements and Share for Review simplify client interactions and team collaborations. The AI Generative Recolor tool and Retype beta tool enhance the design process, saving time for creative ideation and implementation.
Come back next month to keep yourselves up to date with the latest AI news of August!