social business

Introducing GPT-4: The Revolutionary Language Model by OpenAI

Introduction

The Generative Pre-trained Transformer (GPT) has taken the world of AI by storm, and OpenAI’s latest release, GPT-4, is no exception. With its multimodal capabilities and unprecedented sophistication, GPT-4 is redefining the landscape of language models. In this blog post, we will explore what GPT-4 is, how it works, and its numerous applications and possibilities, including an introduction to GPT-4 plugins and prompt ideas to help you get started with this groundbreaking AI technology.

GPT-4: The Basics

Developed by OpenAI, GPT-4 is the latest iteration of the company’s foundation model. This multimodal model is capable of mimicking human-like prose, art, video, or audio. OpenAI unveiled GPT-4 on March 14, 2023, and it’s available for ChatGPT Plus subscribers at $20 per month.

GPT-4 is owned by OpenAI, a San Francisco-based AI company backed by Elon Musk, Microsoft, Amazon Web Services, Infosys, and other corporate and individual supporters. The company is also behind ChatGPT, a chatbot powered by GPT-3.5, and DALL-E, an image-generating deep learning model.

GPT-4: Technical Information

GPT-4 is a multi-layered artificial neural network with 100 billion neurons and 100 trillion synapses. It can communicate in 95 different languages and process up to 25,000 words (approximately 52 pages of text) at a time. GPT-4 can also generate code for various programming languages such as Python, Java, JavaScript, C++, Ruby, PHP, Swift, and Kotlin.

GPT-4 Plugins

With GPT-4 plugins, users can connect ChatGPT Plus to third-party applications and APIs. For instance, the Zapier plugin allows users to connect ChatBot with thousands of popular apps for automation, while the Wolfram plugin empowers ChatGPT with computational abilities, accurate math, curated knowledge, real-time data, and visualization through Wolfram|Alpha.

Wolfram Plugin for ChatGPT:
https://www.wolfram.com/wolfram-plugin-chatgpt/

Zapier Plugin for ChatGPT:
https://zapier.com/blog/announcing-zapier-chatgpt-plugin/

Instacart Plugin for ChatGPT:
https://www.instacart.com/company/updates/instacart-chatgpt/

Zillow Plugin for ChatGPT:
https://www.zillowgroup.com/news/discover-zillows-plugin-on-chatgpt/

FiscalNote Plugin for ChatGPT:
https://fiscalnote.com/press-room/fiscalnote-selected-by-openai-for-collaboration-as-inaugural-launch-partner-for-openais-chatgpt-plug-in

Speechki Plugin for ChatGPT:
https://speechki.org/articles/transform-your-content-with-voiceover-by-chatgpt-and-speechki-plugin/

PortfolioPilot Plugin for ChatGPT:
https://twitter.com/alexharm/status/1653787155410620417

Klarna Shopping Plugin for ChatGPT:
https://www.klarna.com/international/press/klarna-brings-smoooth-shopping-to-chatgpt/

With GPT-4 with browsing you can browse the Internet to get answers and you can analyze content on the web.

With GPT-4 Code Interpreter, you just have to upload the data and provide instructions in simple English. The model does everything from cleaning data to generating insightful visualizations on autopilot.

GPT-4 Applications

  1. Chatbots and conversational agents – GPT can generate human-like responses by analyzing the context of a conversation and predicting the most appropriate answer based on previous responses and training data. https://twitter.com/chillzaza_/status/1635823687172603906
  2. Automated content creation and copywriting – GPT can generate written content and advertising copy by analyzing a topic or keyword, and using this information to generate creative and engaging content. https://www.copy.ai/https://texta.ai/ https://www.jasper.ai/ https://rytr.me/https://anyword.com/
  3. Language modeling and understanding – GPT can understand the structure and patterns of language by analyzing large amounts of text data, and use this information to generate new text or classify text data. https://converseon.com/resources/webinars/conversus-demo-april-webinar/
  4. Text completion and auto-correction – GPT can predict and complete words or sentences by analyzing the context of a text input and predicting the most likely word or phrase to complete the sentence or text. (try this in the ChatGPT interface at https://chat.openai.com/ )
  5. Sentiment analysis – GPT can analyze text and determine the sentiment or emotional tone of the text by detecting and classifying positive, negative, or neutral language. (try this in the ChatGPT interface at https://chat.openai.com/ )
  6. Question answering and information retrieval – GPT can analyze text and answer questions by retrieving relevant information from a database or corpus of text. (for some cases, try this in the ChatGPT interface at https://chat.openai.com/ and for others use Zapier plugin to access the corpus of text: https://zapier.com/apps/chatbot/integrations )
  7. Personalized recommendation systems – GPT can analyze a user’s behavior and preferences to provide personalized recommendations for products, services, or content. https://www.instacart.com/company/updates/instacart-chatgpt/https://skift.com/2023/03/23/expedia-and-kayak-offer-early-convergence-of-chatgpt-and-travel-booking/
  8. Speech recognition and transcription – GPT can transcribe spoken language into text by analyzing and interpreting audio input using natural language processing techniques. https://get.otter.ai/interview-transcription/
  9. Image and video captioning – GPT can generate descriptive captions for images and videos by analyzing the content and context of the visual input. https://twitter.com/tomsmith585/status/1641866281426239489
  10. Text classification and categorization – GPT can categorize and classify text into predefined categories or topics by analyzing the content and context of the text. https://micsymposium.org/mics2023/wp-content/uploads/2023/03/MICS_2023_paper_3429.pdf … (you can also try this in the ChatGPT interface with your own text corpus at https://chat.openai.com/ )
  11. Summarization and abstraction – GPT can summarize long texts or generate abstracts by identifying key concepts and themes in the text and synthesizing them into a condensed form. (try this in the ChatGPT interface at https://chat.openai.com/ )
  12. Neural machine translation – GPT can translate text from one language to another by analyzing the context and structure of the input text and generating a corresponding translation in the target language. (try this in the ChatGPT interface at https://chat.openai.com/ )
  13. Virtual assistants and voice-enabled interfaces – GPT can power virtual assistants and voice-enabled interfaces by interpreting user input, generating responses, and executing commands. https://twitter.com/MateMarschalko/status/1640401459115180045https://matemarschalko.medium.com/creating-samantha-from-her-by-fine-tuning-gpt-3-on-the-movie-script-dabdbf78b883
  14. Medical diagnosis and prognosis – GPT can analyze medical data and predict diagnoses and prognoses based on patterns and trends in the data. https://www.notablehealth.com/platform#patient-ai
  15. Fraud detection and prevention – GPT can analyze financial data and detect fraudulent activity by identifying patterns and anomalies in transaction data. https://www.freethink.com/robots-ai/stripe-gpt4
  16. Financial forecasting and analysis – GPT can analyze financial data and provide forecasts and insights on market trends and performance. https://www.bloomberg.com/company/press/bloomberggpt-50-billion-parameter-llm-tuned-finance/
  17. News article generation – GPT can generate news articles by analyzing a topic or event and generating coherent and informative text based on the analysis. (try this in the ChatGPT interface at https://chat.openai.com/ )
  18. Creative writing assistance – GPT can assist in creative writing tasks by generating suggestions and ideas based on a given prompt or theme. https://twitter.com/TMitrosilis/status/1611361249735892992
  19. Chat-based customer service and support – GPT can provide automated customer service and support through chat-based interactions, by analyzing user inquiries and providing relevant responses. https://www.techtarget.com/searchcustomerexperience/feature/How-to-use-ChatGPT-for-customer-service
  20. Automated email response and management – GPT can automate email response and management by analyzing incoming emails and generating relevant responses based on the content of the email. https://www.youtube.com/watch?v=6DaJVZBXETE

GPT-4 Prompts:

A ChatGPT prompt is an instruction or discussion topic a user provides for the ChatGPT AI model to respond to. The prompt can be a question, statement, or any other stimulus intended to spark creativity, reflection, or engagement. Users can use the prompt to generate ideas, share their thoughts, or start a conversation. You can write/paste prompts into the ChatGPT interface at https://chat.openai.com/ . We’ve provided a great resource for prompts in the Resources section below.

Conclusion

GPT-4 is revolutionizing the world of AI with its powerful language generation capabilities, innovative plugins, and diverse applications. Whether you’re looking to improve productivity, generate creative content, or explore cutting-edge AI technology, GPT-4 offers a world of possibilities. Get started by trying out our suggested productivity and copywriting prompts or create your own to unlock GPT-4’s full potential. With its incredible versatility and seemingly limitless potential, GPT-4 is poised to become an indispensable tool in various industries and applications, from content creation to customer service and beyond. Experience the power of GPT-4 and discover how it can transform the way you work, create, and communicate.

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RESOURCES:

https://openai.com/research/gpt-4

https://openai.com/blog/chatgpt-plugins

https://en.wikipedia.org/wiki/GPT-4

https://en.wikipedia.org/wiki/Large_language_model

https://www.eweek.com/artificial-intelligence/generative-ai-apps-tools/

https://medium.com/@fenjiro/chatgpt-gpt-4-how-it-works-10b33fb3f12b

https://writesonic.com/blog/chatgpt-prompts/

https://twitter.com/jconorgrogan/status/1635695064692273161 

https://twitter.com/thealexbanks/status/1635704687344365569

Social Listening 2019

SUMMARY OF SOCIAL LISTENING – 2019:

Social listening gives us clues related to our customer, our competitor and our marketplace based on conversation analysis at scale. These clues lead to insights that inform laser specific strategy for ALL silos in the enterprise. In addition, we can build a customer base from conversation analysis by enriching handles of those in the conversation. In addition, we can see who is influencing people talking about our chosen themes/topics.

Sentiment analysis and Emotions analysis gives us insight into what causes Joy, Anticipation, Fear, Disgust, Anger within conversations where our chosen themes and topics are being discussed. This is important because we can design better marketing campaigns, bring efficiency to our overall budget based on what’s working/not working in the marketplace, we can spot trends in the marketplace and anticipate where to focus our resources as a brand.

When we see WHO is talking about themes/topics important to our brand, WHERE these conversations are occurring, WHAT is driving awareness of our themes/topics, HOW customers are arriving to our channels AND to our competitors channels, then we make more intelligent decisions for our brand, for each silo in our enterprise.

Social listening is a process by which insights are derived from truly massive quantities of social data (online conversations, documents, and profiles). We distill these huge amounts of data into digestible insights for business stakeholders, accompanied by detailed datasets of prospects, and individuals/entities who influence these prospects. Software solutions combined with human analysts are our chief means for achieving this work

Our net deliverables are PDFs, spreadsheets and in-person meetings where we deliver insights & recommendations related to our research. These deliverables are important because brand leadership has a set of insights/action steps related to discovered individuals (our initial data lake of prospects). We also meet with stakeholders in various business units to discuss the findings, participate in action teams who are executing on initiatives supported by the insights, adjust process and rinse-repeat as needed, honing in on specific additional items desired. This refinement process is where we really drill into the “2nd concentric ring”* and find the exact targets worth acquiring. This is also where we find out what’s working and what’s not working for a specific unit/team.

*The “2nd concentric ring” is everyone who is following a specific influencer. Segmenting and defining the demographics/psychographics/personalities of every single person following an influencer gives us a better idea about whether this influencer is a good pick for our organization. We also find out a lot more about our ideal consumer when studying the “2nd concentric ring”. This is important because when we see every single person who has chosen to follow and engage with an influencer, we gain insight into the culture, buying choices, and online habits of our ideal consumer.

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THE NITTY GRITTY PROCESS 2019 (STEP BY STEP):

1. Define the questions/problem to be answered. This is done by sitting down with the client and interviewing leadership, then specific stakeholders, then those who work with specific stakeholders. It is best to do this in small groups or with individuals so as to get honest and truthful information. This is important because we want to start our study with a very deep set of insights on the organization and those who will be using our research. When I interview stakeholders and their teams on an individuals basis, I learn more than when I interview a group together. When I interview a group together, all of the politics and internal issues prevent individuals from sharing fully what is needed.

2. Define the scope/parameters – dates/topics/desired outcomes. After interviewing everyone, I have insight into how the organization will be most helped by the research work. Very few internal stakeholders and employees in the enterprise have the “big picture” view. Usually each person is interested in his/her own agenda or in pleasing specific senior stakeholders. When we know what is at the heart of the organization’s psyche, it’s heartbeat as it were, then we can deliver a scope of work that truly meets the brand’s need vs. individual stakeholders’ needs. This is important because we want our work to feed the brand, to nourish it’s life. A brand can breathe when fed useful insights, and it can die if it is shielded from useful insights. Truth about the marketplace, the consumer, the competitor, and, importantly, the inner body of stakeholders, employees, vendors, contractors and non-human drivers is vital.

3. Define the audience for the report(s) – who is this for/what is purpose of study/why are we doing this study. Each insights report we deliver will nourish a specific person, unit, division, region. When we know the true need, as stated in the last point, we can speak to the audience who has this need…we can speak to the heart of the organization itself. Knowing one’s audience affects one’s voice, one’s tone, one’s approach. This is important because we want our insights to be digestible, used, passed around. We want our research to truly affect change in the organization, change for the good of the brand.

4. Gather existing pre-study materials from the client and study these. Ask client questions about submitted materials. Gather more materials if needed/available.

5. Create boolean queries for conversation data aggregation in a conversation analysis tool.

6. Refine these boolean queries for more precise conversation data aggregation.

7. Download the raw mentions from the conversation analysis tool.

8. Download other relevant sheets from the conversation analysis tool, including Topics, Most Mentioned Authors, Most Used Hashtags, Leading Authors (in terms of Inf), Leading Sites (blog), Leading Sites (forum), Leading Twitter Authors, Leading Blog Authors, Leading Forum Authors, targeted Mentions downloads (using Rules and sub-queries within the search field in the Mentions tab.

9. Organize conversation data downloads, cleaning up columns, deleting un-needed columns/rows, filtering for site type and putting into separate sheets/tabs in Excel.

10. Enriching the Twitter handles/Instagram handles with additional info about those authors using audience intelligence solutions.

11. If needed, further enriching these titles with add’l social handles using APIs that give us PII (phone, email, address, etc.).

12. Analysis of conversation snippets for insights (junior analysts do this, filling in coding columns and insights columns).

13. Analysis of leading sites.

14. Analysis of leading authors.

15. Upload specific sets of conversation snippets into a tool using the LDA algorithm (Latent Dirichlet Algorithm) for Topic Modeling and Emotions Analysis.

16. Look over analysts’ hand coding work and develop macro insights based upon this work.

17. Look over emotions analysis and topic modeling for add’l insights.

18. Look over the types of people talking (from audience intelligence tools) and add add’l insights.

19. Conduct in-person focus groups, where needed/if required by client (using ideal candidates found from the conversation/audience data analysis).

20. Create final reports with insights, recommendations, appendix and, where needed, the working Excel sheets. Add charts and graphs to Appendix of report.

21. Deliver Insights report to client.

22. Deliver an Excel sheet of the enriched author handles, along with addl charts containing psychographic insights, influencer insights, related to these authors.

23. Deliver Excel sheets from audience intelligence dashboards (includes offline insights from sources like Acxiom and Experian).

24. Go over recommendations one by one with the client.

25. Ask client if there are add’l questions they have. Identify opportunities to collaborate on future research together.

The Advent of Machine Learning as related to Social Listening

The advent of #MachineLearning as related to social listening precipitates a lot of honest-to-God hard work during a transition from human-led to machine-led insights. This will happen because many humans will be needed to create custom attributes and custom classifiers for the machine to use in the new upcoming #AI driven insights industry. Humans teaching the machine to think like we do, to analyze like we do, to understand nuance, culture and the evolution of language (keep in mind, social tech experts, I am referring to a truly global machine analyzing the languages of the world…not just English).

Since there are many gaps in social data, we face an uphill in pairing other data sources to the snippets we get from public sources of conversations. The key to a complete “AI Social Data Intelligence Machine” will be sources such as Axciom, census data, background check sources, private networks like Doximity/A Small World and finally, if possible, the nexus of data from Facebook and Amazon. This particular nexus is a kind of holy grail that the leading machine intelligence experts will eventually open to brand leadership. But previous to such events, we have a grueling journey as analysts, insights researchers and programmers to “teach the machine how to be a human”.

One of the most exciting branches of this “teaching” will be a self-aware machine, an artificial mind that will begin to offer recommendations…and then may decide to act upon these recommendations.

Relationship and Experience Marketing Plan

SUMMARY: The central themes of this document are relationship and experience. It is the express opinion of the author that SEO and advertising are broken models in need of transformation. The way to create awareness in today’s world is through relationships and experiences. Enterprises should consider focusing solely on creating the right relationships and creating experiences in the context of these relationships.

HOW TO DO THIS: The sequence of steps related to this method of going to market are as follows. Note that this is a summary document related to a master document filled with actual personas, suggested content and suggested experiences.

1. Identify the ideal willing prospect as related to your brand. This means that you write out on paper who this person is. Ideally, these people are micro-influencers, with regional popularity and super-engaged networks. Action: write out and refine over time this profile. As your community grows, you will notice the various strata of your desired types, from beginner to elite. Be inclusive to this spectrum and become THE experts in how one traverses from beginner to expert.

2. Use social network analysis tools, such as Brandwatch, PeoplePattern, Musefind and Audiense to aggregate large groups of these prospects. Understand more about these prospects using psychological technologies similar to CrystalKnows and Watson (IBM). Such solutions will give you lists of people (along with detailed bio info) exactly similar to your ideal willing prospect. You will also discover the content these people are posting, the events they are attending and the experiences they are having. Absorb this on a daily basis. The value of this intelligence is that you will have inspiration for content, for events to attend, and for experiences to participate in (and feature). Your community is found using these tools.

3. Employ humans (flesh and blood) to reach out to these prospects and meet with them in person. Invest your dollars in outgoing, intelligent flesh, who love connecting online and offline. Ideally, these humans you pay are also your ideal types themselves. Again, invest your dollars in charismatic, intelligent humans vs. outdated SEO and advertising approaches. The former is a love affair and gains you access to real dynamic community. The latter is a shotgun shot into the dark and is temporary, requiring increased investment for less reliable results.

4. Plan on a 12 month program (at minimum) of getting to know the community you found using the network analysis tools.

5. Plan on investing in content that follows the Content Grid approach from Jess3 and Eloqua. https://thesocializers.com/the-content-grid/

6. Create content pieces for every stage along the consumer journey described in the Content Grid. Invest in research where you discover the best contexts for placing and socializing this content. Increasingly involve your community in creating this content with you, through their stories, quotes and experiences. https://thesocializers.com/the-content-grid/

7. Plan on running campaigns that award specific, meaningful items from strategic partners, such as plane tickets for two to anywhere, to members of your community. Show your growing community that you understand them through what you award them. Be a giving brand. Plan on becoming known as THE place to make one’s adventure happen.Through your brand, consumers realized their adventure.

Corporate Social Analysis and Action – Part 1

1. Discover entire work force in the social networks (use Connect6 and LinkedIn Recruiter).

2. Segment the discovered individuals into various categories of strength by analyzing each individual’s likes/interests/personal content (use Brandwatch, Facebook Graph Search and SocialBro).

3. Encourage all employees to enter and beef up LinkedIn profiles and join company specific groups.

4. Analyze Yammer and Chatter and Sharepoint data for untapped solutions to lagging initiatives, do the same with all corporate email exchanges.

5. Fund internal social TV (model this after internal corporate news providers).

6. Direct specific employees to join online industry/interest groups associated with their job title/department/silo/region (discover these using the native search within specific networks).

7. Encourage complete connection of employees to one another in LinkedIn to the 100th percentile.

8. Fund all employees to have Executive level accounts and undergo LinkedIn training.