Season's Greetings

 

It’s the holiday season so I would like to send a message of hope to everyone.  GPT-4, Claude, and Bard were prompted to create a haiku about hope and world peace.

GPT-4 produced the best haiku because it’s more beautiful and poetic:

Dawn’s light breaks the night,

Seeds of hope in bloom, so bright,

Peace on earth takes flight.

Best wishes and good luck in 2024!

RLHF

 

Reinforcement Learning from Human Feedback (RLHF) has been employed to train and fine-tune large language models to achieve better performance for artificial general intelligence (AGI).  Here are the explanations of RLHF (1) one from ChatGPT at simple level, and (2) the other from Brian Roemmele (@BrianRoemmele) that is concise and descriptive.

1)  From ChatGPT:

2)  From @BrianRoemmele:

RLHF stands for "Reinforcement Learning from Human Feedback."  It's a technique used in machine learning where a model, typically an AI, learns from feedback given by humans rather than solely relying on predefined datasets. 

This method allows the AI to adapt to more complex, nuanced tasks that are difficult to encapsulate with traditional training data.

In RLHF AI initially learns from a standard dataset and then its performance is iteratively improved based on human feedbacks. 

The feedback can come in various forms, such as corrections, rankings of different outputs, or direct instructions.  The AI uses this feedback to adjust its algorithms and improve its responses or actions. 

This approach is particularly useful in domains where defining explicit rules or providing exhaustive examples is challenging, such as natural language processing, complex decision-making tasks, or creative endeavors.

ServiceNow GRC

 

Environment:  ChatGPT Plus, GPT-4.

Objective:  Explain complex topics with summary and mind map.

ServiceNow has recently been named as a leader in Governance, Risk, and Compliance (GRC).  GRC, one of 36 workflow automation products of ServiceNow, is backed by AI innovation throughout the risk management lifecycle.  The product helps corporations to connect business, security, and IT, and to handle risk with confidence.

Using the combination of GPT-4 + VoxScript + AI Diagrams, I prompted GPT-4 to explain ServiceNow GRC from the perspective of the CEO Bill McDermott.  The result described the product’s features with sophisticated business language.

Then GPT-4 was prompted to create a mind map visualizing ServiceNow GRC product.  This mind map organizes the key aspects and provides excellent summary of the intelligent product.

Verdict:  The quality of the responses from GPT-4 depends greatly on the way the prompts were instructed.  Prompt wisely to reap the benefits from GPT-4. 

On a different note, ServiceNow has a family of 36 AI-powered workflow automation products that can help your company on the digital transformation path.  You can peruse the company website to determine which products are beneficial to your company's needs.

ServiceNow ITSM

 

Environment:  ChatGPT Plus, GPT-4.

Objective:  Explain complex topics with summary and mind map.

Using the combination of GPT-4 + VoxScript + AI Diagrams, I've prompted GPT-4 to explain ServiceNow IT Service Management (ITSM).  ITSM is a premier AI-integrated product of ServiceNow that transforms the impact, speed, and delivery of IT for corporations.

This time GPT-4 was prompted to explain from a sales executive's perspective.  The result listed the key features and their benefits accordingly.

Then GPT-4 was prompted to create a mind map visualizing ServiceNow ITSM.  This mind map organizes the comprehensive capabilities and provides excellent overview of the feature-rich product.

Verdict:  GPT-4 is amazing as it can summarize and visualize complex topics.  However, I've noticed that some ITSM capabilities were not included in the summary.  This could be because of (1) GPT-4's algorithm or (2) GPT-4 was trained on data up to April 2023.  Nevertheless, GPT-4 might need to update its data model more often to be near real time (as compared to Grok which can access latest data from Twitter).

ServiceNow ITOM

 

Environment:  ChatGPT Plus, GPT-4.

Objective:  Explain complex topics with summary and mind map.

GPT-4 has demonstrated it can analyze, visualize, and transform numerical data.  Today’s post will look into how GPT-4 analyzes textual data.

First, we need to download 2 plugins:  (1) VoxScript for web searching and data retrieval, and (2) AI Diagrams for creating mind maps.  This combination of GPT-4 + VoxScript + AI Diagrams can explain complex topics into easy-to-understand summary and then create a visual mind map.

GPT-4 was prompted to explain ServiceNow’s IT Operations Management product (ITOM).  ITOM, one of ServiceNow's premier AI-enabled products, has many capabilities that group key applications and capabilities into packages to keep digital services running 24/7.

Then, GPT-4 produces a mind map visualizing ServiceNow ITOM.  This mind map organizes the numerous capabilities into an easy-to-understand graph, giving users a good overview of a feature-rich product.

Verdict:  GPT-4 is remarkable as it makes complex topic easier to understand with its concise summary and mind map.  However, keep in mind that GPT-4’s training data is currently up to April 2023 so the output might not be up-to-date.  As a result, for topics that are time-sensitive, GPT-4 might not be the right tool to gather the information.