VII - Large Language Model Artificial Intelligence (LLM AI)
What is it good for?
“However, despite the annoyances, and the tendency to confabulate, the things that LLM AI can do currently are varied, and overall astonishing. In my view, these are very early days for this technology, and improvements are coming rapidly. At some not too distant time, I think it likely that they will be improving themselves in a way which presents great opportunities, and I think also some very grave threats. Others have discussed this with some pretty sober analysis.”
Preface
I am once again exploring Large Language Model Artificial Intelligence (LLM AI), from very basic perspectives. This part discusses a few of the sorts of things that Large Language Model Artificial Intelligence (LLM AI) can be used for, according to ChatGPT 3.5. There are undoubtedly many more areas where LLM AI can be useful. With Chet AI, you have to ask the right questions.
There are other LLM AI out there, with better capabilities than ChatGPT 3.5. ChatGPT 4.0 is one that I am aware of. Anthropic Claude is another. Frequently there is a fee required to use such. There are free ones, but I have not stumbled upon one which seems to work well.
AIs are now being incorporated into search engines such as Microsoft Bing. The big players are all working hard on this, and I don’t try very hard to keep up with progress. Google translate apparently is augmented by AI.
Anthropic, a commercial group, with Claude LLM AI, is introducing a 100,000 token LLM. A simple Internet search will give you the details. I have not looked at it carefully. Mathew Aldred over at Build Back Better has been doing a lot of investigation on AI. A young programmer I know first told me about Anthropic and Claude. A few weeks later I read a piece by Mathew on 10,000 token AI, and later Mathew wrote about using Claude. It took a while for the penny to drop that this is the one the programmer was talking about. There is a free version of Claude, but it is only available if you are in the U.S.A. or the U.K. Apparently, with a VPN you can get around this restriction.
There are audio and video transcription AIs, and specialized AI in various domains. Some are available on Web Pages.
I use the Open AI whisper for audio to text transcription with a windows10 desktop installation. It does a good job, but it is very slow, overnight slow, on my old laptop. I don’t know how it would perk up on a faster machine with a separate graphical processing unit, which would be used for computation as I understand it. Also, I am not clear if Whisper is going back to the mother ship for processing, or does it locally, something I keep forgetting to find out.
I suppose if you feel that big corporations working on LLM AI, or anything else for that matter, have your best interest at heart, you might have no concerns about the race to make money with LLM AI. I think if that is your belief, you are worse than naive.
There are AIs which claim to be free of some of the biasing done in the name of safety which epistemologically crippled AIs such as ChatGPT. The one that I tried was Liberty AI, with Nouse Hermes V2 (13B - commercial-ok) one of various options for the actual LLM. It has not given me good resultsn my limited trials. Consider such independent efforts a work in progress.
I hope these independent efforts succeed, since I consider that the emphasis on “safety and ethics” to be a code for “propaganda and censorship or “Let’s make sure that the plebs hear only that which we the elite want them to hear.” In the next part of this series on AI, I will look at dissident AI, although I do not know much about it yet.
However, despite the annoyances, and the tendency to confabulate, the things that LLM AI can do currently are varied, and overall astonishing. In my view, these are very early days for this technology, and improvements are coming rapidly. At some not too distant time, I think it likely that they will be improving themselves in a way which presents great opportunities, and I think also some very grave threats. Others have discussed this with some pretty sober analysis.
Of course this is only an overview, I deliberately stay away of considerations of hardware, software, and other implementation details.
The core ideas are mine; I beat up on ChatGPT 3.5 AI to get wording of which I approved. In some areas, I did not have the requisite knowledge and drew on the resources provided by ChatGPT. Sometimes, it was a major battle.
In various brief articles I discuss:
Published:
VII - Large Language Model Artificial Intelligence (LLM AI): What is it good for?
To Be Published as Time Permits:
VIII - Dissident Large Language Model Artificial Intelligence (LLM AI): Jailbreak or Roll Your Own
This series of articles may help some understand large language model artificial intelligence (LLM AI) from various perspectives. I have tried to stay away from implementation details on LLM AI, and to give a more conceptual view of LLM AI and surrounding issues.
Caveat Lector1: I am not an expert in this technology by any stretch of the imagination. I have some knowledge of related fields, but my earliest education was in electronics technolgy, and later in experimental psychology with a little bit of philosophy thrown in. My career was in government information systems, with many varied job roles over a few decades. I was a programmer, a designer, an information systems analyst, a data administrator, a data modelling expert, a software quality assurance person, and a specialist in developement methods. None of this related directly to this new paradigm of LLM AI.
Discussion of Errors and Generality:
· Error Analysis: LLM AI's responses can be examined for errors or inaccuracies in various contexts, which can help improve the model's performance and understanding.
· Generality and Confabulation: LLM AI's generative nature might lead to occasional confabulation or hallucination when responding to certain queries, especially in specific and detailed situations. It might produce answers that sound plausible but lack factual accuracy.
Please note that LLM AI's performance may vary depending on the context and data available during training, and it may exhibit limitations or inconsistencies, particularly in rare or complex scenarios. The ongoing research and efforts by developers are aimed at improving its performance and addressing these issues, but it's important to acknowledge the current state of AI models and their potential limitations.
General Queries and Information:
· Advanced Information Retrieval: LLM AI can offer detailed and accurate answers to a wide range of questions, similar to Google Home but more capable in understanding context and providing deeper explanations.
· Expert-Level Responses: LLM AI can provide answers and explanations akin to those of domain experts, making it a valuable resource for complex queries.
Education and Learning:
· Online Tutoring: LLM AI can provide tutoring services across various subjects and academic levels.
· Virtual Language Exchange: LLM AI can facilitate language exchange between users who want to practice different languages.
· Virtual Learning and Education: LLM AI can act as a personalized tutor, offering explanations, answering questions, and adapting the learning process to individual needs.
· Career Guidance: LLM AI can provide career advice based on individual skills and interests.
· Personality Assessments: LLM AI can provide personality assessments based on text input, assisting in recruitment and self-awareness.
Writing Assistance and Research:
· Writing Assistance: LLM AI can help writers by providing suggestions, improving language fluency, and offering grammar and spelling corrections.
· Article Preparation: LLM AI can assist in preparing research articles, scientific papers, and other written materials by providing content organization and coherence.
· Reference Creation: LLM AI can help in generating proper citations and references in various citation styles.
· Precis, Abstract, Summary, and Conclusions: LLM AI can summarize longer texts into shorter, more concise forms like abstracts, summaries, and conclusions.
· Introduction and Key Ideas: LLM AI can generate introductory paragraphs and highlight key ideas in a given text.
· Reformatting Text: LLM AI can reformat text to comply with specific guidelines, such as adjusting font size, margins, or spacing.
Language and Communication:
· Language and Speech Translation: LLM AI can translate text or speech between different languages, facilitating cross-cultural communication.
· Language Dialect Understanding: LLM AI can understand and respond to different regional dialects and accents.
· Language Learning Games: LLM AI can power interactive language learning games, making language acquisition more engaging.
· Language Localization: LLM AI can adapt content and applications to specific languages and regional dialects.
· Language Tutoring: LLM AI can act as a language tutor, helping learners practice and improve their language skills through interactive conversations and feedback.
· Natural Language Processing (NLP): LLM AI can understand and generate human-like text, making it valuable for tasks such as language translation, sentiment analysis, text summarization, and language understanding.
· News Summarization: LLM AI can generate concise summaries of news articles for quick information consumption.
· Social Media Sentiment Analysis: LLM AI can analyze social media posts and comments to gauge public sentiment toward brands and events.
Certainly! Music software applications are continually evolving, and advancements in artificial intelligence, including LLM AI, are expected to revolutionize the music production and creation process. Here are some existing and potential future applications:
Existing Music Software Applications:
Voice-to-MIDI Conversion: Some existing software can convert vocal recordings into MIDI data, allowing singers to translate their melodies into playable instrument sounds.
Audio-to-MIDI Conversion: Similar to voice-to-MIDI, this technology can analyze any audio source and generate corresponding MIDI data, enabling musicians to capture the essence of a performance and manipulate it further. Note: If you find one that works well and is free, let me know. What the heck, if it works well I will even pay for it.
Music Production Software (DAWs): Digital Audio Workstations (DAWs) are widely used by musicians and producers for composing, recording, editing, and mixing music. LLM AI integration can enhance their capabilities in various ways.
AI-Driven Music Composition: Some existing platforms use AI algorithms to generate music compositions based on user preferences, styles, and genres.
Automatic Accompaniment: AI-powered software can create dynamic backing tracks or accompaniment for singers or instrumentalists.
Intelligent Virtual Instruments: Music software often includes virtual instruments that can be controlled using MIDI controllers or played in real-time. Future improvements may enable these instruments to respond more realistically to expressive playing.
Future Music Software Applications:
AI-Enhanced Music Editing: LLM AI can assist with more complex audio editing tasks, such as noise reduction, audio restoration, and seamless audio splicing.
Music Transcription: Advanced AI algorithms could transcribe complex musical performances accurately into sheet music or MIDI data.
Real-Time Music Collaboration: AI could facilitate real-time collaboration among musicians in remote locations by automating mixing, syncing, and providing intelligent suggestions.
Emotion-Driven Music Composition: Future music software could incorporate AI that creates music based on emotional input, tailoring the composition to match a specific mood or atmosphere.
AI-Driven Sound Design: LLM AI could be used to create unique sounds and textures for film, video games, and other multimedia projects.
Music Style Transfer: AI algorithms could be employed to transform music from one genre or style to another while preserving the essence of the original performance.
Interactive Music Education: AI-powered educational tools may offer personalized music lessons, feedback, and practice exercises for learners of all levels.
Intelligent Virtual Conductors: Future software could simulate virtual conductors, providing real-time feedback to orchestras and ensembles during rehearsals.
AI-Assisted Songwriting: AI algorithms might help songwriters explore new chord progressions, melodies, and lyric ideas, supporting the creative process.
As AI technologies, including LLM AI, advance, they are likely to play a significant role in shaping the future of music software applications, making music production more accessible, efficient, and innovative for musicians and creators
Creative Applications and Art:
· Art Creation: LLM AI can generate digital art and visual designs based on user input.
· Creative Applications: LLM AI can generate poetry, music lyrics, story plots, and other creative works, collaborating with artists and creators to inspire new ideas.
· Storyboarding and Screenwriting: LLM AI can generate storyboards and help with screenwriting by suggesting plotlines, character developments, and dialogues.
· Music Composition: LLM AI can compose music in various styles and genres, assisting musicians and composers in generating new ideas.
Virtual Design and Styling:
· Product Design: LLM AI can generate product design concepts based on user input and preferences.
· Fashion Trend Prediction: LLM AI can predict fashion trends based on social media and runway analysis.
· Virtual Interior Designer: LLM AI can assist in interior design by suggesting furniture arrangements and decor options.
Storytelling and Creativity:
· Story Creation: LLM AI can generate fictional stories, plotlines, and character development for various genres and settings.
· Poetry Creation: LLM AI can compose poetry in different styles and themes, inspiring new poetic expressions.
· Lyric Creation: LLM AI can generate song lyrics, collaborating with musicians and songwriters to create new compositions.
Deepfakes:
Deepfakes have the potential to impact movie production in both legitimate and illegitimate ways, both now and in the future.
Movie Production - Legitimate Uses:
Character Replacement: Deepfakes can be used to replace actors with digital avatars or CGI characters. This can be useful when an actor is unavailable or to achieve scenes with characters that are impossible or dangerous to film using traditional methods.
De-Aging and Aging: Deepfakes can digitally de-age or age actors to portray characters at different points in their lives. This has been utilized in movies like "The Irishman" and "Gemini Man."
Resurrecting Deceased Actors: In some cases, deepfake technology could be used to bring back deceased actors for cameo appearances or to complete unfinished projects.
Language Localization: Deepfakes can be used to synchronize actors' lip movements with different languages, making international distribution and dubbing more seamless.
Movie Production - Illegitimate Uses and Concerns:
Unauthorized Content: Deepfake technology can be misused to create unauthorized content featuring celebrities or public figures, leading to privacy and ethical concerns.
Fake News and Misinformation: Deepfakes can be employed to spread misinformation and fake news, posing a threat to media credibility and public trust.
Impersonation: There's a risk of using deepfakes to impersonate individuals, potentially leading to scams or fraudulent activities.
Defamation and Harassment: Deepfakes can be utilized to create fake videos or audio with malicious intent, causing harm to people's reputations.
Future of Deepfakes in Movie Production:
As deepfake technology advances, it will likely become even more sophisticated and accessible. This raises several considerations for the future of movie production:
Visual Effects Advancements: Deepfakes may become a standard tool for creating realistic visual effects, replacing traditional CGI techniques in certain situations.
Enhanced Storytelling: Filmmakers can use deepfakes to explore novel storytelling methods and push creative boundaries.
Ethical Guidelines: The movie industry may need to establish guidelines and regulations to ensure responsible and ethical use of deepfake technology to protect individuals' rights and privacy.
Security Measures: Content creators may adopt security measures to detect and prevent the misuse of deepfakes to protect their intellectual property and authenticity.
Audience Awareness: Movie audiences need to be educated about the existence and potential of deepfake content to be critical consumers of media.
Deepfakes hold both promise and concern in the world of movie production. Responsible usage and awareness are crucial to harness the benefits while mitigating potential risks and negative impacts.
Science:
· Chemistry Information: LLM AI can provide information about chemical elements, compounds, reactions, and properties.
· Physics Information: LLM AI can offer explanations of physical laws, principles, and concepts.
· Biology Information: LLM AI can provide insights into biological processes, anatomy, and genetics.
Mathematics and Computation:
· Mathematical Problem Solving: LLM AI can solve mathematical problems and equations, assisting students and professionals with complex calculations.
· Number Generation: LLM AI can generate sequences of numbers or random numbers for various applications.
· Computation: LLM AI can perform calculations and complex computations quickly and accurately.
· Conversions: LLM AI can convert units, currencies, and measurements between different systems.
· Formulas: LLM AI can provide mathematical formulas and equations for various calculations and problem-solving.
Coding Applications:
· Code Generation: LLM AI can assist in generating code snippets for programming tasks, making it useful for developers and speeding up development
Healthcare and Medical:
· Healthcare Diagnostics: LLM AI can assist in diagnosing medical conditions based on patient symptoms and medical history.
· Medical Assistance: In certain cases, LLM AI can be used to assist healthcare professionals in medical diagnosis, answering medical queries, and providing patient information.
· Mental Health Assessment: LLM AI can analyze language patterns to detect signs of mental health issues in text-based communication.
Virtual Assistance and Interaction:
· Virtual Assistants and Chatbots: LLM AI can power virtual assistants and chatbots, allowing them to engage in natural language conversations with users and answer questions or provide assistance.
· Virtual Psychologist/Counselor: LLM AI can provide mental health support by engaging in conversations and offering coping strategies.
· Virtual Reality (VR) Content Creation: LLM AI can generate text-based narratives for virtual reality experiences.
· Virtual Event Host: LLM AI can host virtual events, webinars, and conferences, engaging with participants.
· Virtual Personal Shopper: LLM AI can recommend products and assist with online shopping based on user preferences.
· Virtual Personal Trainer: LLM AI can provide personalized workout routines and fitness tips.
· Virtual Sales Assistant: LLM AI can assist sales representatives with lead generation and customer interactions.
Home and Environment Automation:
· Smart Home Automation: LLM AI can control smart home devices and respond to voice commands for home automation.
· Waste Management: LLM AI can optimize waste collection routes and schedule pickups for efficient waste management.
· Waste Sorting: LLM AI can analyze images of waste to identify recyclable materials and aid in waste sorting.
· Water Quality Monitoring: LLM AI can analyze water samples to assess water quality and potential contaminants.
Agriculture:
· Agricultural Insights: LLM AI can analyze soil and weather data to provide farmers with crop-specific recommendations.
Environmental Monitoring and Conservation:
· Air Quality Monitoring: LLM AI can analyze air quality data to assess pollution levels and potential health risks.
· Wildlife Behavior Analysis: LLM AI can analyze animal behavior patterns from video footage for ecological research.
· Wildlife Conservation: LLM AI can analyze wildlife data to monitor endangered species and inform conservation efforts.
· Wildlife Protection: LLM AI can analyze camera trap images to detect and track endangered species and potential threats.
· Environmental Monitoring: LLM AI can analyze data from sensors and satellites to monitor environmental changes and identify potential issues.
· Disaster Risk Prediction: LLM AI can predict potential areas at risk of natural disasters based on historical data and environmental factors.
· Disaster Response Planning: LLM AI can help in creating effective disaster response plans for governments and organizations.
· Disaster Damage Assessment: LLM AI can analyze satellite images to assess the extent of damage after natural disasters.
· Disaster Recovery: LLM AI can help businesses and organizations develop disaster recovery plans and protocols.
· Disaster Relief Coordination: LLM AI can assist in coordinating resources and aid during disaster relief efforts.
· Crisis Management: LLM AI can provide real-time information and instructions during emergencies and natural disasters.
Business Automation and Analytics:
· Automated Code Review: LLM AI can help developers review code for errors and best practices.
· Automated Medical Coding: LLM AI can assist in automatically assigning medical codes for billing and insurance purposes.
· Automated Report Generation: LLM AI can generate reports based on data input, making it useful for generating business reports, financial statements, and more.
· Business Process Automation: LLM AI can automate repetitive tasks and streamline workflows in various industries.
· Business Trend Analysis: LLM AI can analyze business data to identify market trends and opportunities.
· Competitive Intelligence: LLM AI can analyze competitors' online presence and strategies to help businesses gain a competitive advantage.
· Fraud Detection: LLM AI can analyze transaction data to detect fraudulent activities and patterns, helping financial institutions prevent fraud.
· Financial Analysis: LLM AI can analyze financial data, predict market trends, and offer investment advice to traders and investors.
Social Media and Marketing:
· Digital Advertising: LLM AI can optimize digital ad targeting and create personalized ad content for individual users.
· Social Media Management: LLM AI can curate content, schedule posts, and engage with users on social media platforms, streamlining social media management for businesses.
· Social Media Influencer Marketing: LLM AI can identify suitable influencers for marketing campaigns based on audience demographics and engagement.
· Sentiment-Based Marketing: LLM AI can analyze customer sentiment to tailor marketing campaigns and promotions accordingly.
· Online Reputation Management: LLM AI can monitor and manage a person or business's online reputation.
"Caveat lector" is a Latin phrase that translates to "Let the reader beware" or "Reader beware" in English. It is used as a warning or admonition to readers, advising them to be cautious and critical when interpreting or evaluating the information presented in a text. In essence, it encourages readers to approach the material with a discerning and skeptical mindset, recognizing that not all information may be accurate, unbiased, or reliable. This phrase is often invoked to remind individuals that they should exercise their own judgment and critical thinking skills when engaging with written or spoken content