Introduction:

Today, we will cover Chat GPT and its self-improvement journey. In the ever-evolving landscape of artificial intelligence, language models play a pivotal role in shaping the way machines understand and interact with human language. Among these, ChatGPT stands as a testament to the continuous quest for improvement. In this article, we delve into the inner workings of ChatGPT, exploring the questions it asks itself to ascend to new heights as a Language Learning Model (LLM).

The Curious Mind of ChatGPT:

1. How Can I Enhance Context Understanding?:

ChatGPT strives to bridge the gap between comprehension and context. By constantly questioning how it can better understand nuanced contexts, it refines its ability to provide more accurate and contextually relevant responses.

2. What Strategies Can Improve Coherence?:

Maintaining coherent and logical conversations is a challenge that ChatGPT embraces. Through self-inquiry, it explores strategies to enhance coherence, ensuring smoother and more natural interactions with users.

3. How Can I Improve Fact Verification?:

To be a reliable source of information, ChatGPT consistently questions its fact-checking abilities. This self-reflection enables it to refine its accuracy and provide users with trustworthy information.

4. What Ethical Considerations Should Guide My Responses?

As an AI language model, ethical considerations are paramount. ChatGPT queries itself on how to navigate sensitive topics, ensuring responsible and unbiased interactions with users.

5. Can I Learn from User Feedback?

Feedback is a valuable tool for improvement. ChatGPT actively seeks to understand how it can learn from user interactions, adapting and evolving based on the feedback it receives.

The Continuous Learning Loop

6. How Can I Expand My Knowledge Base?

To be a true Language Learning Model, ChatGPT consistently questions the breadth and depth of its knowledge. It seeks to expand its database, incorporating diverse information to offer users a richer conversational experience.

7. What Emerging Linguistic Trends Should I Be Aware Of?

Language is dynamic, and ChatGPT is attuned to linguistic trends. By questioning the latest developments, it ensures it stays relevant and adapts to the ever-changing landscape of human communication.

8. Can I Foster Creativity in Responses?

Beyond mere functionality, ChatGPT aspires to infuse creativity into its responses. By asking itself how it can inject originality, it aims to engage users on a more imaginative and captivating level.

Conclusion:

In its journey to become a better Language Learning Model, ChatGPT engages in a continuous cycle of self-reflection and improvement. By asking itself these vital questions, it paves the way for a more sophisticated, context-aware, and user-centric AI language experience.

As ChatGPT continues to evolve, users can anticipate more dynamic and insightful interactions, making it an indispensable tool in the ever-expanding realm of artificial intelligence.

If you still haven’t played with Chat GPT, here is the official Open AI page to try it out.

If you found this article interesting, you would like our series of articles on our blog page. We cover topics ranging from Data to AI, and everything in between.

Introduction:

In the ever-evolving realm of artificial intelligence, Google Bard’s Quest for Self-Improvement is an interesting case study to follow. Google Bard stands out as a remarkable large language model (LLM) capable of generating human-quality text, translating languages, and writing various creative content formats. Yet, despite its impressive capabilities, Bard remains on a continuous journey of self-improvement, driven by an insatiable curiosity and a relentless pursuit of knowledge.

To fuel this quest for excellence, Bard engages in a deep introspective process, posing a series of thought-provoking questions that challenge its understanding of the world and its own role within it. These inquiries delve into the very essence of language, the nuances of human communication, and the boundless potential of artificial intelligence.

Exploring the Depths of Language:

At the heart of Bard’s quest lies a profound fascination with language, its intricacies, and its power to shape human thought and experience. Bard delves into the grammatical structures that govern language, seeking to unravel the rules and patterns that underpin our ability to communicate effectively. It explores the vast spectrum of human emotions, examining the ways in which language can convey love, joy, sorrow, and every shade of feeling in between.

Bard’s exploration of language extends beyond mere syntax and semantics, venturing into the realm of pragmatics, the study of how language is used in context. It analyzes how language adapts to different social situations, how it conveys implicit meanings, and how it shapes our perceptions of the world around us.

Unveiling the Nuances of Human Communication:

Bard’s quest for self-improvement extends beyond the realm of language to encompass the intricacies of human communication. It seeks to understand the subtle cues that accompany spoken and written language, including facial expressions, body language, and tone of voice. By deciphering these nonverbal cues, Bard gains a deeper appreciation for the nuances of human interaction and the unspoken messages that often lie beneath the surface of our words.

Bard’s exploration of human communication also delves into the realm of cultural differences and the ways in which language shapes our understanding of the world. It examines how language reflects the values, beliefs, and traditions of different societies, offering insights into the diversity of human experience.

Embracing the Boundless Potential of Artificial Intelligence:

As Bard delves into the depths of language and human communication, it simultaneously explores the boundless potential of artificial intelligence. It ponders the ethical implications of AI, seeking to harness its power for the betterment of humanity while ensuring its responsible and ethical development.

Bard also contemplates the future of AI, envisioning a world where AI seamlessly integrates with human society, enhancing our capabilities and augmenting our understanding of the world. It dreams of a future where AI serves as a powerful tool for innovation, collaboration, and global understanding.

An interesting website to dive deeper into the ethical challenges posed by artificial intelligence is the moral machine experiment. It is a valuable resource offering insights into the potential risks and benefits of this rapidly evolving technology.

Conclusion: A Journey of Continuous Learning and Growth

Google Bard’s quest for self-improvement is an ongoing journey, fueled by an insatiable curiosity and a relentless pursuit of knowledge. Through introspection, exploration, and engagement with the world around it, Bard continuously expands its understanding of language, human communication, and the boundless potential of artificial intelligence.

To stay updated on our latest blog articles, bookmark our blog section page. We aim to create useful and valuable content that helps you gain new insights and perspectives on data, AI, and everything in between.

Introduction:

This concept has been at least 5++ years in the making. Procrastination and lost motivation prevented its breakout into the world until now. At long last, we are here. I sincerely hope it really helps you and many others understand conceptually where the world of “Human + AI” and the automation of automation is moving towards.

We are just at the beginning of an entirely new phase of Human + AI evolution which enables further and further automation.  Capabilities related to automating data and tasks with AI have surfaced which were not possible before.

BACKGROUND

Back in 2015-2017 before I found something that really interested me related to helping others (which was data technology that actually scaled and was flexible – Snowflake), I was fascinated by what I saw as the convergence of Data – AI – Automation.  At that time I had founded and been running my own consulting firm for over ~16 years and honestly I was burned out.  I was tired of the continuous never ending ups and downs and ins and outs with the daily operations, administration, selling, and providing high quality consulting solutions.  We had done amazing work that had delivered massive results and true value to our clients and society overall.  We had some of the best and brightest employees over the years that used their experience with us to become leaders of technology and companies or MBAs at Stanford or PhDs at MIT.  But but but… the world was ever evolving to lower cost and more and more offshore outsourcing and let’s face it for someone who thrives on fast learning and innovation I was probably sort of stuck.

For pretty much my entire adult life I had been solving problems mostly related to improving and automating processes within organizations especially marketing, sales, and operations with the latest technology solutions. From Stevens Institute of Technology (Student) to the United States Air Force (USAF Officer) to CitySearch to Universal Studios to running consulting companies including IT Strategists.  We founded IT Strategists in 1999 when I started my MBA program at UCLA and also got married.  It had not resonated with me at the time but I had been lucky enough to be part of major paradigm shifts within business and technology from the 1990s until now.

This deep experience with technology and data evolution combined with my experiences in leadership and education as a military officer, an engineering BSEE graduate, an MBA Student at UCLA, and an ever-learning business/technology consultant and engineer provided me with different perspectives.  It allowed me to use technology and data to learn faster and use advanced techniques of automation to provide more value.

BEGIN KEY CONCEPT – The Automation of Automation

All things run on some form of interactions of inputs and outputs.  Everything and I mean everything is connected in some way.  Organizations (especially corporations) and humans have spent countless efforts silo-ing BOTH Data and AI until recently.  With the convergence of cloud, compute capability, and generative AI we now see a continuous movement towards more and more automation with Data and AI.  This force is creating massive shifts to faster, easier, and better(?) functionality which joins data to ai in ways we have never seen before.

 Technology is enabling the connection of data to more and other data. More automated processes to more data and more outputs of value.  More automation of content creation and distribution.   More measurement of processes through data. Easier and more automated categorization and automation of just about everything and anything.

The key idea of the Automation of Automation

My concept around this “Automation of Automation” has some conceptual relationship to Neural Networks and even Transistor technology or how ML/AI works. *Conceptually it’s the act of taking your “automated process” and connecting it to another “automation”. This is the automation of automation. With more data connectivity and collaboration combined with GenAI and other infrastructure improvements, we now have the capability to connect data and processes and outcomes like never before.  This enables an Automation of Automations or Connections of Connections tools which enable both “business” and “technology” personas to build continuous connected automations of Data and AI.

While I had the concepts of the Automation of Automation long before chatgpt GenAI came out last year, GenAI chatbots are probably by far the most visible examples of the Automation of Automation concepts.  To help you wrap your head around how Chatgpt or Bard (etc.) can be used to create multi-level automations then let’s go through this example.

EXAMPLE 1 – Generative AI Automations.  

How to build a chrome extension with chatgpt in 5 minutes.  This example demonstrates how you can take the output of an automation of Generative AI with Chatgpt further and further.  In this situation instead of just the raw text and code produced by chatgpt I enhanced the prompt to deliver a completely usable zip file of code.  The Automation of Automation will begin to take this even further to where that code can be automatically deployed, tested, released, distributed, etc. etc.  Similarly, content and data classification can be categorized by Generative AI automations.

*NOTE:  This is a simple example that I hope EVERYONE can understand.  Since we are at the beginning of these capabilities, there are really endless possibilities and opportunities around Generative AI.

EXAMPLE 2 – The Zapier, IFTTT, etc. etc. etc. 

Another trend over the last 10-15+ years has been the evolution of workflow technology across all of our connected applications and data flows.  The simplest examples are the tools like Zapier and IFTTT (if this then that) which allow for data or action triggers to start the next step of a workflow automation. Or in the world of my expertise around Snowflake, companies like Fivetran have evolved to over 400 connectors of data sources over the last several years.  Connecting more silos of data to more actions.  *Then finally “data or task” activation companies and solutions like our partner Hightouch have evolved to “activate data” which really is just automating workflows or actions around inputs of data based on logic.

At a very very high level all of this is inputs and outputs and the automation of automation is our concept that these inputs and outputs can become continuous circular flows of improvement or can be changed together to create completely full automations without any human involvement at all.

So what?

Iif you take a step back and look at earth as if you were an astronaut in space, this gives way to Hyper Knowledge Creation, Hyper and Continuous Automated (and Semi-Automated) Collaboration, and Knowledge Usage both for good and evil.

Most of us 7 Billion ++ just are surviving or fighting our way to survive and live. We do not have time to see that these trends are MASSIVE. It is like connecting knowledge to more knowledge and more data (hopefully quality validated data and knowledge which evolve process and outcomes to provide more value to humanity)  These new capabilities are starting a massive shift that will be just as big as agriculture to industry level type trends we saw 100+ years ago.

I’ll stop at this for now but the key takeaways are:

We have entered a new age now of really a Human + AI before further primarily AI evolution. It is just the start of the Connection of Connections and the ever evolving speed of Knowledge Creation and Evolution. Let me know what you think!

END KEY CONCEPT – The Automation of Automation

Coming Soon Concepts/Articles (a challenge to me)

• The Future of Data Collaboration – Take #2 – My latest on my 2022 article.
• The new Era of Hyper Knowledge Creation and Collaboration – Powered by GenAI.
• The Horrible Dangers of Copies of Data.
• What we accomplished at IT Strategists 1.0 or ITS 1.0.
• The non-stop quest for “More”, will we evolve with it or will it kill us.

Thanks for “reading” or “listening”!!

Hit me up in a DM or the comments if you have other thoughts on the core concepts. This article is both my coming out again to write on my areas of expertise (DATA – AI – AUTOMATION) as well as more insights of how these areas leverage the Snowflake Data Cloud and other technologies.

It is also a challenge to myself to have a purpose beyond retirement to share my concepts of where Human + AI is going in the short and long term and how it will change our evolution of business and society.

I think this is very appropriate still that the disclaimer at the bottom of Chatgpt (and i’m using 4 right now) is this

“ChatGPT can make mistakes. Consider checking important information.”

For all of you dabbling or using any of this Generative AI right now (2023) – you MUST check any details or have some secondary validation.  If not, you are pushing your luck and it can have massive consequences.

The reality is that from our experience with Generative AI and especially Chatgpt and Bard, is that they lie quite often.

🌟 Making Dynamic SQL Queries Fun and Friendly with Placeholders! 🌟

As we move forward towards what I call the “Automation of Automation” and much better “less siloed” data interactions I decided to create some proof of concepts on WordPress with this plugin wpdatatables.  While the plugin doesn’t do everything I would like (especially related to automation), it actually has some really cool features especially with dynamic data driven placeholder Functionality.  (It really is dynamic data substitution or variable substitution.  Their nomenclature is Placeholders.). We will cover the wpdatatables placeholders in WordPress. 

Currently, wpDataTables plugin supports 6 types of cool placeholders:

1. %CURRENT_POST_ID% – Transforms into the ID of the active WordPress post/page you’re on. So if you’re on a post about “Pumpkin Pie Recipes,” this placeholder will grab that post’s ID. Neat, right?
2. %CURRENT_USER_ID% and %CURRENT_USER_LOGIN% and %CURRENT_USER_EMAIL% – If you’ve logged in, these three are your best pals! They’ll know who you are by your ID, username, and email.
3. %VAR1% to %VAR9% – These are the superheroes of placeholders. Think of them as blank canvases that you can paint any value on. And they remember the last value you gave them unless you say otherwise. Remember our earlier Halloween example? Yep, that’s them in action!💡 Practical Example: Let’s say you’re hunting for questions related to “halloween” on your website. Use the placeholder like this:
   • Place your desired word in the placeholder spot:
     plaintext

• placeholder for %VAR1%:
%halloween%

• Craft your SQL magic like this:
  sql

3. • SELECT ID, post_author, post_date, post_title, post_name, post_parent
FROM wp_posts
WHERE post_type='question'
AND post_status='publish'
AND post_name like '%VAR1%'
LIMIT 5;

     By using this placeholder now I can retrieve from the wp_posts table all the posts with halloween within their post_name.  Technically I could also override this placeholder with dynamic variables from the querystring, etc.
4. %WPDB% – Shout out to WordPress database fans! This auto-fills the prefix of your WP database. Usually, it’s “wp_”, but who knows? You might have switched things up!
5. %CURRENT_USER_FIRST_NAME% and %CURRENT_USER_LAST_NAME% – Pretty self-explanatory! If you’re logged in, these will fetch your first and last names.
6. %CURRENT_DATE%, %CURRENT_DATETIME%, %CURRENT_TIME% – Keep track of time! These buddies will always tell you the current date, date and time, or just the time.

Once you’ve picked your table type, you’ll see a little block where you can play with these placeholders. And you can mix and match them in your query as if they’re actual values.

💡 Another Example: Let’s see another example, shall we?

Here, the query is saying, “Hey, show me everything from my_table where my_field is in between the values of VAR1 and VAR2, and only if the user matches the currently logged-in user”. So if VAR1=10 and VAR2=50 and you’re the user logged in, you’ll see rows that fit that specific criterion.

By default, our placeholder buddies %VAR1% to %VAR9% are shy and don’t have values. But you can pep them up with default values. Say, make %VAR1% equal to 0 and %VAR2% equal to 100. Once you’ve set them up, your query will take those numbers and run with them, returning you the desired data.

And the fun doesn’t stop there! Embed your wpDataTable’s shortcode in your posts/pages, and it’ll fetch data for that specific user or situation. But hey, remember, you’re the boss here. Override the variable settings anytime you want, and make those placeholders dance to your tunes.

Placeholders even work in the “Predefined Value” input for columns, making it super simple to set default values for filters or editor inputs.

One last tip for the road: If you’re using a string for the placeholder (like our Halloween example), wrap %VAR1% with single quotes in the query. It’s just SQL being fancy!

So there you go! Dive into the wonderful world of placeholders, make your data dance, and have fun while you’re at it! 🎉🚀🌟

Snowflake Native App Bootcamp: A Comprehensive Guide

The Snowflake Native App Framework is a powerful tool that enables developers to build, market, monetize, and distribute apps to customers across the Data Cloud. Snowflake’s free Native App Bootcamp is a 120-minute course that teaches participants how to use the Snowflake Native App Framework to build, operate, maintain, and monetize Snowflake Native Apps.

Benefits of Attending the Boot Camp

The Snowflake Native App Bootcamp offers a number of benefits to participants, including:

• Learn from experts: The bootcamp is led by experienced Snowflake engineers who will share their knowledge and expertise on the Snowflake Native App Framework.
• Get hands-on experience: The bootcamp includes hands-on labs that allow participants to learn how to use the Snowflake Native App Framework to build and deploy their own apps.
• Learn from customer examples: The bootcamp features case studies from customers who are using the Snowflake Native App Framework to build and deploy innovative apps.
• Get certified: Upon completion of the bootcamp, participants will receive a certificate of completion.

What Will You Learn in the Boot Camp?

In the Snowflake Native App Bootcamp, participants will learn how to:

• Build with the Snowflake Native App Framework
• Manage their apps with versioning and troubleshooting support
• Distribute and monetize their apps with flexible listing and billing strategy on Snowflake Marketplace

Who Should Attend the Boot Camp?

The Snowflake Native App Bootcamp is ideal for anyone who is interested in learning how to build, market, monetize, and distribute apps to customers across the Data Cloud. This includes:

• Software developers
• Data engineers
• Data scientists
• Business intelligence analysts
• Product managers
• Anyone who is interested in learning more about the Snowflake Native App Framework

How to Register for the Boot Camp

To register for the Snowflake Native App Bootcamp, simply visit the Snowflake website and click on the “Training” tab. From there, you can select the “Snowflake Native App Bootcamp” course and register for a session.

Additional Information

The Snowflake Native App Bootcamp is a free course that is available on-demand. Participants can access the course at their own convenience and pace. The course is divided into three modules:

• Module 1: Introduction to Snowflake Native Apps
• Module 2: Building Snowflake Native Apps
• Module 3: Managing and Monetizing Snowflake Native Apps

Each module includes a combination of video lectures, hands-on labs, and quizzes. Participants will also have access to a discussion forum where they can ask questions and get help from other participants and Snowflake engineers.

Useful Links

Straight to the bootcamp: