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[Updated for 2021] 27-Point Checklist: How to Write for Google

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[updated-for-2021]-27-point-checklist:-how-to-write-for-google

Are you writing your SEO content based on the latest best practice tips?

I originally wrote this SEO copywriting checklist in 2012—my, how things have changed. Today, Google stresses quality content even more than before, conversational copy is critical, and there are revised SEO writing “rules.” 

I’ve updated the list to reflect these changes and to provide additional information.

As a side note, I would argue that there’s no such thing as “writing for Google.” Yes, there are certain things you should do to make the Google gods happy. However, your most important goal should be writing clear, compelling, standout copy that tells a story. 

I’m keeping the old headline in the hopes that I can convert some of the “write for Google” people to do things the right way.

Whether you’re an in-house SEO content writer, a DIY business owner, or a freelance SEO copywriter, this 27-point checklist will help you write engaging, Google-happy content—every time.

Items to review before you start your SEO writing project

– Do you have enough information about your target reader?

Your copy will pack a powerful one-two punch if your content is laser-focused on your target reader. Ask your client or supervisor for a customer/reader persona document outlining your target readers’ specific characteristics. If the client doesn’t have a customer persona document, be prepared to spend an hour or more asking detailed questions. 

Here’s more information on customer personas.

– Writing a sales page? Did you interview the client?

It’s essential to interview new clients and to learn more about their company, USP, and competition. Don’t forget to ask about industry buzzwords that should appear in the content.

Not sure what questions to ask to get the copywriting ball rolling? Here’s a list of 56 questions you can start with today. 

– Writing a blog post? Get topic ideas from smart sources

When you’re blogging, it’s tempting to write about whatever strikes your fancy. The challenge is, what interests you may not interest your readers. If you want to make sure you’re writing must-read content, sites like Quora, LinkedIn, Google Trends, and BuzzSumo can help spark some ideas.

– Did you use Google for competitive intelligence ideas?

Check out the sites positioning in the top-10 and look for common characteristics. How long are competing articles? Do the articles link out to authoritative sources? Are there videos or infographics? Do the articles include quotes from industry experts? Your job is to write an essay that’s better than what’s already appearing in the top-10 — so let the competition be your guide.

– Did you conduct keyphrase research?

Yes, keyphrase research (and content optimization) is still a crucial SEO step. If you don’t give Google some keyphrase “cues,” your page probably won’t position the way you want.

Use a keyphrase research tool and find possible keyphrases for your page or post. As a hint: if you are tightly focusing on a topic, long-tail keyphrases are your best bet. Here’s more information about why long-tail keyphrases are so important.

If you are researching B2B keyphrases, know that the “traditional” keyphrase research steps may not apply. Here’s more information about what to do if B2B keyphrase research doesn’t work.

– What is your per-page keyphrase focus?

Writers are no longer forced to include the exact-match keyphrase over and over again. (Hurray!) Today, we can focus on a keyphrase theme that matches the search intent and weave in multiple related keyphrases.

– Did you expand your keyphrase research to include synonyms and close variants?

Don’t be afraid to include keyphrase synonyms and close variants on your page. Doing so opens up your positioning opportunities, makes your copy better, and is much easier to write!

Are you wondering if you should include your keyphrases as you write the copy — or edit them in later? It’s up to you! Here are the pros and cons of both processes.

 — Do your keyphrases match the search intent?

Remember that Google is “the decider” when it comes to search intent. If you’re writing a sales page — and your desired keyphrase pulls up informational blog posts in Google – your sales page probably won’t position. 

— Writing a blog post? Does your Title/headline work for SEO, social, and your readers?

Yes, you want your headline to be compelling, but you also want it to be keyphrase rich. Always include your main page keyphrase (or a close variant) in your Title and work in other keyphrases if they “fit.”

Here’s some excellent information on how to write headlines that get noticed (and that are good for Google.) You can also use headline-analyzing tools to double-check your work.

– Did you include keyphrase-rich subheadlines?

Subheadlines are an excellent way to visually break up your text, making it easy for readers to quick-scan your benefits and information. Additionally, just like with the H1 headline, adding a keyphrase to your subheadlines can (slightly) help reinforce keyphrase relevancy.

As a hint, sometimes, you can write a question-oriented subheadline and slip the keyphrase in more easily. Here’s more information about why answering questions is a powerful SEO content play.

Is your Title “clickable” and compelling?

Remember, the search engine results page is your first opportunity for conversion. Focusing too much on what you think Google “wants” may take away your Title’s conversion power. 

Consider how you can create an enticing Title that “gets the click” over the other search result listings. You have about 59 characters (with spaces) to work with, so writing tight is essential. 

– Does the meta description fit the intent of the page?

Yes, writers should create a meta description for every page. Why? Because they tell the reader what the landing page is about and help increase SERP conversions. Try experimenting with different calls-to-actions at the end, such as “learn more” or “apply now.” You never know what will entice your readers to click!

– Is your content written in a conversational style?

With voice search gaining prominence, copy that’s written in a conversational style is even more critical.

Read your copy out loud and hear how it sounds. Does it flow? Or does it sound too formal? If you’re writing for a regulated industry, such as finance, legal, or healthcare, you may not be able to push the conversational envelope too much. Otherwise, write like you talk.

Here’s how to explain why conversational content is so important.

–Is your copy laser-focused on your audience?

A big mistake some writers make is creating copy that appeals to “everyone” rather than their specific target reader. Writing sales and blog pages that are laser-focused on your audience will boost your conversions and keep readers checking out your copy longer. Here’s how one company does it.

Plus, you don’t receive special “Google points” for writing long content. Even short copy can position if it fully answers the searcher’s query. Your readers don’t want to wade through 1,500 words to find something that can be explained in 300 words.

Items to review after you’ve written the page

– Did you use too many keyphrases?

Remember, there is no such thing as keyword density. If your content sounds keyphrase-heavy and stilted, reduce the keyphrase usage and focus more on your readers’ experience. Your page doesn’t receive bonus points for exact-matching your keyphrase multiple times. If your page sounds keyphrase stuffed when you read it out loud, dial back your keyphrase usage.

– Did you edit your content?

Resist the urge to upload your content as soon as you write it. Put it away and come back to it after a few hours (or even the next day.) Discover why editing your Web writing is so very important. Also, don’t think that adding typos will help your page position. They won’t.

– Is the content interesting to read?

Yes, it’s OK if your copy has a little personality. Here’s more information about working with your page’s tone and feel and how to avoid the “yawn response.” Plus, know that even FAQ pages can help with conversions — and yes, even position.

– Are your sentences and paragraphs easy to read?

Vary your sentence structure so you have a combination of longer and shorter sentences. If you find your sentences creeping over 30 or so words, edit them down and make them punchier. Your writing will have more impact if you do.

Plus, long paragraphs without much white space are hard to read off a computer monitor – and even harder to read on a smartphone. Split up your long paragraphs into shorter ones. Please.

– Are you forcing your reader onto a “dead end” page?

“Dead-end” pages (pages that don’t link out to related pages) can stop your readers dead in their tracks and hurt your conversion goals. 

Want to avoid this? Read more about “dead-end” Web pages.

– Does the content provide the reader with valuable information?

Google warns against sites with “thin,” low-quality content that’s poorly written. In fact, according to Google, spelling errors are a bigger boo-boo than broken HTML. Make sure your final draft is typo-free, written well, and thoroughly answers the searcher’s query.

Want to know what Google considers quality content — directly from Google? Here are Google’s Quality Raters guidelines for more information.

– Did you use bullet points where appropriate?

If you find yourself writing a list-like sentence, use bullet points instead. Your readers will thank you, and the items will be much easier to read.

Plus, you can write your bullet points in a way that makes your benefit statements pop, front and center. Here’s how Nike does it.

– Is the primary CTA (call-to-action) clear–and is it easy to take action?

What action do you want your readers to take? Do you want them to contact you? Buy something? Sign up for your newsletter? Make sure you’re telling your reader what you want them to do, and make taking action easy. If you force people to answer multiple questions just to fill out a “contact us” form, you run the risk of people bailing out.

Here’s a list of seven CTA techniques that work.

– Do you have a secondary CTA (such as a newsletter signup or downloading a white paper?)

Do you want readers to sign up for your newsletter or learn about related products? Don’t bury your “sign up for our newsletter” button in the footer text. Instead, test different CTA locations (for instance, try including a newsletter signup link at the bottom of every blog post) and see where you get the most conversions.

– Does the page include too many choices?

It’s important to keep your reader focused on your primary and secondary CTAs. If your page lists too many choices (for example, a large, scrolling page of products), consider eliminating all “unnecessary” options that don’t support your primary call-to-action. Too many choices may force your readers into not taking any action at all.

– Did you include benefit statements?

People make purchase decisions based on what’s in it for them (yes, even your B2B buyers.) Highly specific benefit statements will help your page convert like crazy. Don’t forget to include a benefit statement in your Title (whenever possible) like “free shipping” or “sale.” Seeing this on the search results page will catch your readers’ eyes, tempting them to click the link and check out your site.

– Do you have vertical-specific testimonials?

It’s incredible how many great sales pages are testimonial-free. Testimonials are a must for any site, as they offer third-party proof that your product or service is superior. Plus, your testimonials can help you write better, more benefit-driven sales pages and fantastic comparison-review pages.

Here’s a way to make your testimonials more powerful. 

And finally — the most important question:

– Does your content stand out and genuinely deserve a top position?

SEO writing is more than shoving keyphrases into the content. If you want to be rewarded by Google (and your readers), your content must stand out — not be a carbon copy of the current top-10 results. Take a hard look at your content and compare it against what’s currently positioning. Have you fully answered the searcher’s query? Did you weave in other value-added resources, such as expert quotes, links to external and internal resources (such as FAQ pages), videos, and graphics? 

If so, congratulations! You’ve done your job. 

Source: Heather Lloyd-Martin

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Technical SEO Checklist for 2024: A Comprehensive Guide

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Technical SEO Checklist 2024 Comprehensive Strategies

Technical SEO Checklist 2024 Comprehensive Strategies

With Google getting a whopping total of six algorithmic updates and four core updates in 2023, you can bet the search landscape is more complicated (and competitive) to navigate nowadays.

To succeed in SEO this year, you will need to figure out what items to check and optimize to ensure your website stays visible. And if your goal is to not just make your website searchable, but have it rank at the top of search engine results, this technical SEO checklist for 2024 is essential.

Webmaster’s Note: This is part one of our three-part SEO checklist for 2024. I also have a longer guide on advanced technical SEO, which covers best practices and how to troubleshoot and solve common technical issues with your websites.

Technical SEO Essentials for 2024

Technical SEO refers to optimizations that are primarily focused on helping search engines access, crawl, interpret, and index your website without any issues. It lays the foundation for your site to be properly understood and served up by search engines to users.

1. Website Speed Optimization

A site’s loading speed is a significant ranking factor for search engines like Google, which prioritize user experience. Faster websites generally provide a more pleasant user experience, leading to increased engagement and improved conversion rates.

Server Optimization

Often, the reason why your website is loading slowly is because of the server it’s hosted on. It’s important to choose a high-quality server that ensures quick loading times from the get-go so you skip the headache that is server optimization.

Google recommends keeping your server response time under 200ms. To check your server’s response time, you need to know your website’s IP address. Once you have that, use your command prompt.

In the window that appears, type ping, followed by your website’s IP address. Press enter and the window should show how long it took your server to respond. 

If you find that your server goes above the recommended 200ms loading time, here’s what you need to check:

  1. Collect the data from your server and identify what is causing your response time to increase. 
  2. Based on what is causing the problem, you will need to implement server-side optimizations. This guide on how to reduce initial server response times can help you here.
  3. Measure your server response times after optimization to use as a benchmark. 
  4. Monitor any regressions after optimization.

If you work with a hosting service, then you should contact them when you need to improve server response times. A good hosting provider should have the right infrastructure, network connections, server hardware, and support services to accommodate these optimizations. They may also offer hosting options if your website needs more server resources to run smoothly.

Website Optimization

Aside from your server, there are a few other reasons that your website might be loading slowly. 

Here are some practices you can do:

  1. Compressing images to decrease file sizes without sacrificing quality
  2. Minimizing the code, eliminating unnecessary spaces, comments, and indentation.
  3. Using caching to store some data locally in a user’s browser to allow for quicker loading on subsequent visits.
  4. Implementing Content Delivery Networks (CDNs) to distribute the load, speeding up access for users situated far from the server.
  5. Lazy load your web pages to prioritize loading the objects or resources only your users need.

A common tool to evaluate your website speed is Google’s PageSpeed Insights or Google Lighthouse. Both tools can analyze the content of your website and then generate suggestions to improve its overall loading speed, all for free. There are also some third-party tools, like GTMetrix, that you could use as well.

Here’s an example of one of our website’s speeds before optimization. It’s one of the worst I’ve seen, and it was affecting our SEO.

slow site speed score from GTMetrixslow site speed score from GTMetrix

So we followed our technical SEO checklist. After working on the images, removing render-blocking page elements, and minifying code, the score greatly improved — and we saw near-immediate improvements in our page rankings. 

site speed optimization results from GTMetrixsite speed optimization results from GTMetrix

That said, playing around with your server settings, coding, and other parts of your website’s backend can mess it up if you don’t know what you’re doing. I suggest backing up all your files and your database before you start working on your website speed for that reason. 

2. Mobile-First Indexing

Mobile-first Indexing is a method used by Google that primarily uses the mobile version of the content for indexing and ranking. 

It’s no secret that Google places a priority on the mobile users’ experience, what with mobile-first indexing being used. Beyond that, optimizing your website for mobile just makes sense, given that a majority of people now use their phones to search online.

This change signifies that a fundamental shift in your approach to your website development and design is needed, and it should also be part of your technical SEO checklist.

  1. Ensuring the mobile version of your site contains the same high-quality, rich content as the desktop version.
  2. Make sure metadata is present on both versions of your site.
  3. Verify that structured data is present on both versions of your site.

Tools like Google’s mobile-friendly test can help you measure how effectively your mobile site is performing compared to your desktop versions, and to other websites as well.

3. Crawlability & Indexing Check

Always remember that crawlability and Indexing are the cornerstones of SEO. Crawlability refers to a search engine’s ability to access and crawl through a website’s content. Indexing is how search engines organize information after a crawl and before presenting results.

  1. Utilizing a well-structured robots.txt file to communicate with web crawlers about which of your pages should not be processed or scanned.
  2. Using XML sitemaps to guide search engines through your site’s content and ensure that all valuable content is found and indexed. There are several CMS plugins you can use to generate your sitemap.
  3. Ensuring that your website has a logical structure with a clear hierarchy, helps both users and bots navigate to your most important pages easily. 

Google Search Console is the tool you need to use to ensure your pages are crawled and indexed by Google. It also provides reports that identify any problems that prevent crawlers from indexing your pages. 

4. Structured Data Markup

Structured Data Markup is a coding language that communicates website information in a more organized and richer format to search engines. This plays a strategic role in the way search engines interpret and display your content, enabling enhanced search results through “rich snippets” such as stars for reviews, prices for products, or images for recipes.

Doing this allows search engines to understand and display extra information directly in the search results from it.

Key Takeaway

With all the algorithm changes made in 2023, websites need to stay adaptable and strategic to stay at the top of the search results page. Luckily for you, this technical SEO checklist for 2024 can help you do just that. Use this as a guide to site speed optimization, indexing, and ensuring the best experience for mobile and desktop users.

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Why Google Seems To Favor Big Brands & Low-Quality Content

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Why Google Seems To Favor Big Brands & Low-Quality Content

Many people are convinced that Google shows a preference for big brands and ranking low quality content, something that many feel has become progressively worse. This may not be a matter of perception, something is going on, nearly everyone has an anecdote of poor quality search results. The possible reasons for it are actually quite surprising.

Google Has Shown Favoritism In The Past

This isn’t the first time that Google’s search engine results pages (SERPs) have shown a bias that favored big brand websites. During the early years of Google’s algorithm it was obvious that sites with a lot of PageRank ranked for virtually anything they wanted.

For example, I remember a web design company that built a lot of websites, creating a network of backlinks, raising their PageRank to a remarkable level normally seen only in big corporate sites like IBM. As a consequence they ranked for the two-word keyword phrase, Web Design and virtually every other variant like Web Design + [any state in the USA].

Everyone knew that websites with a PageRank of 10, the highest level shown on Google’s toolbar, practically had a free pass in the SERPs, resulting in big brand sites outranking more relevant webpages. It didn’t go unnoticed when Google eventually adjusted their algorithm to fix this issue.

The point of this anecdote is to point out an instance of where Google’s algorithm unintentionally created a bias that favored big brands.

Here are are other  algorithm biases that publishers exploited:

  • Top 10 posts
  • Longtail “how-to” articles
  • Misspellings
  • Free Widgets in footer that contained links (always free to universities!)

Big Brands And Low Quality Content

There are two things that have been a constant for all of Google’s history:

  • Low quality content
  • Big brands crowding out small independent publishers

Anyone that’s ever searched for a recipe knows that the more general the recipe the lower the quality of recipe that gets ranked. Search for something like cream of chicken soup and the main ingredient for nearly every recipe is two cans of chicken soup.

A search for Authentic Mexican Tacos results in recipes with these ingredients:

  • Soy sauce
  • Ground beef
  • “Cooked chicken”
  • Taco shells (from the store!)
  • Beer

Not all recipe SERPs are bad. But some of the more general recipes Google ranks are so basic that a hobo can cook them on a hotplate.

Robin Donovan (Instagram), a cookbook author and online recipe blogger observed:

“I think the problem with google search rankings for recipes these days (post HCU) are much bigger than them being too simple.

The biggest problem is that you get a bunch of Reddit threads or sites with untested user-generated recipes, or scraper sites that are stealing recipes from hardworking bloggers.

In other words, content that is anything but “helpful” if what you want is a tested and well written recipe that you can use to make something delicious.”

Explanations For Why Google’s SERPs Are Broken

It’s hard not to get away from the perception that Google’s rankings for a variety of topics always seem to default to big brand websites and low quality webpages.

Small sites grow to become big brands that dominate the SERPs, it happens. But that’s the thing, even when a small site gets big, it’s now another big brand dominating the SERPs.

Typical explanations for poor SERPs:

  • It’s a conspiracy to increase ad clicks
  • Content itself these days are low quality across the board
  • Google doesn’t have anything else to rank
  • It’s the fault of SEOs
  • Affiliates
  • Poor SERPs is Google’s scheme to drive more ad clicks
  • Google promotes big brands because [insert your conspiracy]

So what’s going on?

People Love Big Brands & Garbage Content

The recent Google anti-trust lawsuit exposed the importance of the Navboost algorithm signals as a major ranking factor. Navboost is an algorithm that interprets user engagement signals to understand what topics a webpage is relevant for, among other things.

The idea of using engagement signals as an indicator of what users expect to see makes sense. After all, Google is user-centric and who better to decide what’s best for users than the users themselves, right?

Well, consider that arguably the the biggest and most important song of 1991, Smells Like Teen Spirt by Nirvana, didn’t make the Billboard top 100 for that year. Michael Bolton and Rod Stewart made the list twice, with Rod Stewart top ranked for a song called “The Motown Song” (anyone remember that one?)

Nirvana didn’t make the charts until the next year…

My opinion, given that we know that user interactions are a strong ranking signal, is that Google’s search rankings follow a similar pattern related to users’ biases.

People tend to choose what they know. It’s called a Familiarity Bias.

Consumers have a habit of choosing things that are familiar over those that are unfamiliar. This preference shows up in product choices that prefer brands, for example.

Behavioral scientist, Jason Hreha, defines Familiarity Bias like this:

“The familiarity bias is a phenomenon in which people tend to prefer familiar options over unfamiliar ones, even when the unfamiliar options may be better. This bias is often explained in terms of cognitive ease, which is the feeling of fluency or ease that people experience when they are processing familiar information. When people encounter familiar options, they are more likely to experience cognitive ease, which can make those options seem more appealing.”

Except for certain queries (like those related to health), I don’t think Google makes an editorial decision to certain kinds of websites, like brands.

Google uses many signals for ranking. But Google is strongly user focused.

I believe it’s possible that strong user preferences can carry a more substantial weight than Reviews System signals. How else to explain why Google seemingly has a bias for big brand websites with fake reviews rank better than honest independent review sites?

It’s not like Google’s algorithms haven’t created poor search results in the past.

  • Google’s Panda algorithm was designed to get rid of a bias for cookie cutter content.
  • The Reviews System is a patch to fix Google’s bias for content that’s about reviews but aren’t necessarily reviews.

If Google has systems for catching low quality sites that their core algorithm would otherwise rank, why do big brands and poor quality content still rank?

I believe the answer is that is what users prefer to see those sites, as indicated by user interaction signals.

The big question to ask is whether Google will continue to rank what users biases and inexperience trigger user satisfaction signals.  Or will Google continue serving the sugar-frosted bon-bons that users crave?

Should Google make the choice to rank quality content at the risk that users find it too hard to understand?

Or should publishers give up and focus on creating for the lowest common denominator like the biggest popstars do?



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Google Announces Gemma: Laptop-Friendly Open Source AI

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Google Announces Gemma: Laptop-Friendly Open Source AI

Google released an open source large language model based on the technology used to create Gemini that is powerful yet lightweight, optimized to be used in environments with limited resources like on a laptop or cloud infrastructure.

Gemma can be used to create a chatbot, content generation tool and pretty much anything else that a language model can do. This is the tool that SEOs have been waiting for.

It is released in two versions, one with two billion parameters (2B) and another one with seven billion parameters (7B). The number of parameters indicates the model’s complexity and potential capability. Models with more parameters can achieve a better understanding of language and generate more sophisticated responses, but they also require more resources to train and run.

The purpose of releasing Gemma is to democratize access to state of the art Artificial Intelligence that is trained to be safe and responsible out of the box, with a toolkit to further optimize it for safety.

Gemma By DeepMind

The model is developed to be lightweight and efficient which makes it ideal for getting it into the hands of more end users.

Google’s official announcement noted the following key points:

  • “We’re releasing model weights in two sizes: Gemma 2B and Gemma 7B. Each size is released with pre-trained and instruction-tuned variants.
  • A new Responsible Generative AI Toolkit provides guidance and essential tools for creating safer AI applications with Gemma.
  • We’re providing toolchains for inference and supervised fine-tuning (SFT) across all major frameworks: JAX, PyTorch, and TensorFlow through native Keras 3.0.
  • Ready-to-use Colab and Kaggle notebooks, alongside integration with popular tools such as Hugging Face, MaxText, NVIDIA NeMo and TensorRT-LLM, make it easy to get started with Gemma.
  • Pre-trained and instruction-tuned Gemma models can run on your laptop, workstation, or Google Cloud with easy deployment on Vertex AI and Google Kubernetes Engine (GKE).
  • Optimization across multiple AI hardware platforms ensures industry-leading performance, including NVIDIA GPUs and Google Cloud TPUs.
  • Terms of use permit responsible commercial usage and distribution for all organizations, regardless of size.”

Analysis Of Gemma

According to an analysis by an Awni Hannun, a machine learning research scientist at Apple, Gemma is optimized to be highly efficient in a way that makes it suitable for use in low-resource environments.

Hannun observed that Gemma has a vocabulary of 250,000 (250k) tokens versus 32k for comparable models. The importance of that is that Gemma can recognize and process a wider variety of words, allowing it to handle tasks with complex language. His analysis suggests that this extensive vocabulary enhances the model’s versatility across different types of content. He also believes that it may help with math, code and other modalities.

It was also noted that the “embedding weights” are massive (750 million). The embedding weights are a reference to the parameters that help in mapping words to representations of their meanings and relationships.

An important feature he called out is that the embedding weights, which encode detailed information about word meanings and relationships, are used not just in processing input part but also in generating the model’s output. This sharing improves the efficiency of the model by allowing it to better leverage its understanding of language when producing text.

For end users, this means more accurate, relevant, and contextually appropriate responses (content) from the model, which improves its use in conetent generation as well as for chatbots and translations.

He tweeted:

“The vocab is massive compared to other open source models: 250K vs 32k for Mistral 7B

Maybe helps a lot with math / code / other modalities with a heavy tail of symbols.

Also the embedding weights are big (~750M params), so they get shared with the output head.”

In a follow-up tweet he also noted an optimization in training that translates into potentially more accurate and refined model responses, as it enables the model to learn and adapt more effectively during the training phase.

He tweeted:

“The RMS norm weight has a unit offset.

Instead of “x * weight” they do “x * (1 + weight)”.

I assume this is a training optimization. Usually the weight is initialized to 1 but likely they initialize close to 0. Similar to every other parameter.”

He followed up that there are more optimizations in data and training but that those two factors are what especially stood out.

Designed To Be Safe And Responsible

An important key feature is that it is designed from the ground up to be safe which makes it ideal for deploying for use. Training data was filtered to remove personal and sensitive information. Google also used reinforcement learning from human feedback (RLHF) to train the model for responsible behavior.

It was further debugged with manual re-teaming, automated testing and checked for capabilities for unwanted and dangerous activities.

Google also released a toolkit for helping end-users further improve safety:

“We’re also releasing a new Responsible Generative AI Toolkit together with Gemma to help developers and researchers prioritize building safe and responsible AI applications. The toolkit includes:

  • Safety classification: We provide a novel methodology for building robust safety classifiers with minimal examples.
  • Debugging: A model debugging tool helps you investigate Gemma’s behavior and address potential issues.
  • Guidance: You can access best practices for model builders based on Google’s experience in developing and deploying large language models.”

Read Google’s official announcement:

Gemma: Introducing new state-of-the-art open models

Featured Image by Shutterstock/Photo For Everything



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