OpenAI's GPT4 produced this track by writing ruby code for sonic pi. 
The album art is generated by https://www.veed.io/tools/ai-image-generator/album-cover-maker , with the following prompt from GPT:
"Create an album cover for 'Digital Dawn' with a color palette inspired by sunrise, featuring abstract digital patterns or waves. Include the album title with a sleek, modern font. Experiment with light effects for a dynamic look." 

This is the song code:

##GPT-4 produced this

use_synth :blade
with_fx :reverb, room: 0.8 do
  sample :drum_cymbal_soft, rate: -1, amp: 0.5
end
sleep 1

# Intro
4.times do
  with_fx :echo, mix: 0.6 do
    play (chord :B, 'dim7').tick, release: 0.6, cutoff: 80
  end
  sleep 0.25
end

# Verse
use_synth :fm
8.times do
  play :B1, release: 0.5
  sleep 0.5
  play :F1, release: 0.5
  sleep 0.5
end

# Bridge
with_fx :reverb, room: 0.5 do
  4.times do
    sample :drum_heavy_kick
    sleep 1
    sample :drum_snare_soft
    sleep 1
  end
end

# Synth Solo
use_synth :prophet
16.times do
  with_fx :flanger do
    play scale(:B3, :minor_pentatonic).choose, release: 0.25, cutoff: rrand(70, 130)
  end
  sleep 0.25
end

# Chorus
use_synth :fm
4.times do
  play (chord :B, 'm7'), amp: 0.6
  sleep 0.5
  play (chord :E, '7'), amp: 0.6
  sleep 0.5
  play (chord :A, '7'), amp: 0.6
  sleep 0.5
  play (chord :D, 'M7'), amp: 0.6
  sleep 0.5
  play (chord :G, 'M7'), amp: 0.6
  sleep 0.5
  play (chord :C, 'm7-5'), amp: 0.6
  sleep 0.5
  play (chord :F, '7'), amp: 0.6
  sleep 0.5
end

# Outro
with_fx :reverb, room: 0.8 do
  sample :drum_cymbal_soft, rate: -1, amp: 0.3
end
sleep 1

Sonic Landscapes

ChatGPT produced this track

In questo episodio di PPC e Dintorni Pietro continua l'intervista ad Alessandro Rossetti, un giovane copywriter digitale; parliamo delle best practice per Meta Title e Meta Description, e dell'uso dell'intelligenza artificiale nel mondo della SEO.

Copywriting Digitale nel 2024 - Parte 2

OpenAI introduces fine-tuning for GPT-3.5 Turbo and GPT-4

Discover the power of Large Language Models with Kris Ograbek as he unravels the intricacies of LangChain and showcases a chatbot in action, all while putting our host Jon Krohn in the hot seat!

Additional materials: www.superdatascience.com/710

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

The Super Data Science Podcast: Machine Learning | AI | Success

710: LangChain: Create LLM Applications Easily in Python

ChatGPT Voice to Voice

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Harness the power of AI with innovative, real-world applications, and unprecedented productivity boosts, powered by the latest advancements in AI technology like ChatGPT and OpenAI

Purchase of the print or Kindle book includes a free PDF eBook

Key Features


Explore the theory behind generative AI models and the road to GPT3 and GPT4

Become familiar with ChatGPT's applications to boost everyday productivity

Learn to embed OpenAI models into applications using lightweight frameworks like LangChain


Book Description

Generative AI models and AI language models are becoming increasingly popular due to their unparalleled capabilities. This book will provide you with insights into the inner workings of the LLMs and guide you through creating your own language models. You'll start with an introduction to the field of generative AI, helping you understand how these models are trained to generate new data.

Next, you'll explore use cases where ChatGPT can boost productivity and enhance creativity. You'll learn how to get the best from your ChatGPT interactions by improving your prompt design and leveraging zero, one, and few-shots learning capabilities. The use cases are divided into clusters of marketers, researchers, and developers, which will help you apply what you learn in this book to your own challenges faster.

You'll also discover enterprise-level scenarios that leverage OpenAI models' APIs available on Azure infrastructure; both generative models like GPT-3 and embedding models like Ada. For each scenario, you'll find an end-to-end implementation with Python, using Streamlit as the frontend and the LangChain SDK to facilitate models' integration into your applications.

By the end of this book, you'll be well equipped to use the generative AI field and start using ChatGPT and OpenAI models' APIs in your own projects.

What you will learn


Understand generative AI concepts from basic to intermediate level

Focus on the GPT architecture for generative AI models

Maximize ChatGPT's value with an effective prompt design

Explore applications and use cases of ChatGPT

Use OpenAI models and features via API calls

Build and deploy generative AI systems with Python

Leverage Azure infrastructure for enterprise-level use cases

Ensure responsible AI and ethics in generative AI systems


Who this book is for

This book is for individuals interested in boosting their daily productivity; businesspersons looking to dive deeper into real-world applications to empower their organizations; data scientists and developers trying to identify ways to boost ML models and code; marketers and researchers seeking to leverage use cases in their domain – all by using Chat GPT and OpenAI Models.

A basic understanding of Python is required; however, the book provides theoretical descriptions alongside sections with code so that the reader can learn the concrete use case application without running the scripts.

Table of Contents


Introduction to Generative AI

OpenAI and ChatGPT – Beyond the Market Hype

Getting Familiar with ChatGPT

Understanding Prompt Design

Boosting Day-to-Day Productivity with ChatGPT

Developing the Future with ChatGPT

Mastering Marketing with ChatGPT

Research Reinvented with ChatGPT

OpenAI and ChatGPT for Enterprises – Introducing Azure OpenAI

Trending Use Cases for Enterprises

Epilogue and Final Thoughts

  
 


Read more

[❤READ ⚡EBOOK⚡] Modern Generative AI with ChatGPT and OpenAI Models: Leverage the capabilities

EPUB Modern Generative AI with ChatGPT and OpenAI Models: Leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4

Read Here: https://mindof-books.blogspot.com/?book=1805123335

Harness the power of AI with innovative, real-world applications, and unprecedented productivity boosts, powered by the latest advancements in AI technology like ChatGPT and OpenAI
 Purchase of the print or Kindle book includes a free PDF eBook Key Features  Explore the theory behind generative AI models and the road to GPT3 and GPT4  Become familiar with ChatGPT's applications to boost everyday productivity  Learn to embed OpenAI models into applications using lightweight frameworks like LangChain Book Description
 Generative AI models and AI language models are becoming increasingly popular due to their unparalleled capabilities. This book will provide you with insights into the inner workings of the LLMs and guide you through creating your own language models. You'll start with an introduction to the field of generative AI, helping you understand how these models are trained to generate new data.
 Next, you'll explore use cases where ChatGPT can boost productivity and enhance creativity. You'll learn how to get the best from your ChatGPT interactions by improving your prompt design and leveraging zero, one, and few-shots learning capabilities. The use cases are divided into clusters of marketers, researchers, and developers, which will help you apply what you learn in this book to your own challenges faster.
 You'll also discover enterprise-level scenarios that leverage OpenAI models' APIs available on Azure infrastructure; both generative models like GPT-3 and embedding models like Ada. For each scenario, you'll find an end-to-end implementation with Python, using Streamlit as the frontend and the LangChain SDK to facilitate models' integration into your applications.
 By the end of this book, you'll be well equipped to use the generative AI field and start using ChatGPT and OpenAI models' APIs in your own projects. What you will learn  Understand generative AI concepts from basic to intermediate level  Focus on the GPT architecture for generative AI models  Maximize ChatGPT's value with an effective prompt design  Explore applications and use cases of ChatGPT  Use OpenAI models and features via API calls  Build and deploy generative AI systems with Python  Leverage Azure infrastructure for enterprise-level use cases  Ensure responsible AI and ethics in generative AI systems Who this book is for
 This book is for individuals interested in boosting their daily productivity; businesspersons looking to dive deeper into real-world applications to empower their organizations; data scientists and developers trying to identify ways to boost ML models and code; marketers and researchers seeking to leverage use cases in their domain – all by using Chat GPT and OpenAI Models.
 A basic understanding of Python is required; however, the book provides theoretical descriptions alongside sections with code so that the reader can learn the concrete use case application without running the scripts. Table of Contents  Introduction to Generative AI  OpenAI and ChatGPT – Beyond the Market Hype  Getting Familiar with ChatGPT  Understanding Prompt Design  Boosting Day-to-Day Productivity with ChatGPT  Developing the Future with ChatGPT  Mastering Marketing with ChatGPT  Research Reinvented with ChatGPT  OpenAI and ChatGPT for Enterprises – Introducing Azure OpenAI  Trending Use Cases for Enterprises  Epilogue and Final Thoughts    Read more

get [PDF] Modern Generative AI with ChatGPT and OpenAI Models: Leverage the capabilities of Ope

Explore the future of coding with poolside co-founder and CEO Jason Warner as he explores the potential of code-specialized LLMs and their revolutionary impact on the developer's role. Tune in for insights on the shift towards an AI-led development paradigm.

Additional materials: www.superdatascience.com/754

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

754: A Code-Specialized LLM Will Realize AGI, with Jason Warner

READ Modern Generative AI with ChatGPT and OpenAI Models: Leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4

Read Here: https://mindof-books.blogspot.com/?book=1805123335

Harness the power of AI with innovative, real-world applications, and unprecedented productivity boosts, powered by the latest advancements in AI technology like ChatGPT and OpenAI

Purchase of the print or Kindle book includes a free PDF eBook

Key Features


Explore the theory behind generative AI models and the road to GPT3 and GPT4

Become familiar with ChatGPT's applications to boost everyday productivity

Learn to embed OpenAI models into applications using lightweight frameworks like LangChain


Book Description

Generative AI models and AI language models are becoming increasingly popular due to their unparalleled capabilities. This book will provide you with insights into the inner workings of the LLMs and guide you through creating your own language models. You'll start with an introduction to the field of generative AI, helping you understand how these models are trained to generate new data.

Next, you'll explore use cases where ChatGPT can boost productivity and enhance creativity. You'll learn how to get the best from your ChatGPT interactions by improving your prompt design and leveraging zero, one, and few-shots learning capabilities. The use cases are divided into clusters of marketers, researchers, and developers, which will help you apply what you learn in this book to your own challenges faster.

You'll also discover enterprise-level scenarios that leverage OpenAI models' APIs available on Azure infrastructure; both generative models like GPT-3 and embedding models like Ada. For each scenario, you'll find an end-to-end implementation with Python, using Streamlit as the frontend and the LangChain SDK to facilitate models' integration into your applications.

By the end of this book, you'll be well equipped to use the generative AI field and start using ChatGPT and OpenAI models' APIs in your own projects.

What you will learn


Understand generative AI concepts from basic to intermediate level

Focus on the GPT architecture for generative AI models

Maximize ChatGPT's value with an effective prompt design

Explore applications and use cases of ChatGPT

Use OpenAI models and features via API calls

Build and deploy generative AI systems with Python

Leverage Azure infrastructure for enterprise-level use cases

Ensure responsible AI and ethics in generative AI systems


Who this book is for

This book is for individuals interested in boosting their daily productivity; businesspersons looking to dive deeper into real-world applications to empower their organizations; data scientists and developers trying to identify ways to boost ML models and code; marketers and researchers seeking to leverage use cases in their domain – all by using Chat GPT and OpenAI Models.

A basic understanding of Python is required; however, the book provides theoretical descriptions alongside sections with code so that the reader can learn the concrete use case application without running the scripts.

Table of Contents


Introduction to Generative AI

OpenAI and ChatGPT – Beyond the Market Hype

Getting Familiar with ChatGPT

Understanding Prompt Design

Boosting Day-to-Day Productivity with ChatGPT

Developing the Future with ChatGPT

Mastering Marketing with ChatGPT

Research Reinvented with ChatGPT

OpenAI and ChatGPT for Enterprises – Introducing Azure OpenAI

Trending Use Cases for Enterprises

Epilogue and Final Thoughts

  
 


Read more

Mary had a little llama

Claude 3, LLMs and testing ML performance: Jon Krohn tests out Anthropic’s new model family, Claude 3, which includes the Haiku, Sonnet and Opus models (written in order of their performance power, from least to greatest).  Can it stand shoulder to shoulder with other models such as GPT-4 and Gemini 1.0 Ultra? And how important is it for machine learning practitioners to try out these models with their own benchmarks? Jon walks listeners through a test of his own in this Five-Minute Friday.

Additional materials: www.superdatascience.com/768

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

768: Is Claude 3 Better than GPT-4?

Screen glows at night
coffee's gone cold
Chasing a bug
stubborn and bold
It hides in the code

Silent and sly
A tale of woe
a coder's sigh
One step too far
or one short of right
in my mind's loops

They haunt the night
They haunt the night
They haunt the night

One wrong index
cost me dear
Till dawn's light
brought the fix in sight

Deep in the loops
where shadows play
One wrong step
leads me astray.

One step too far
or one short of right,
In my mind's loops
they haunt the night.

One Step Too Far

Rediscovering Music: A Fusion of Art and AI"

After a 27-year hiatus, music called me back—not for nostalgia, but for innovation. The piano and drums, once familiar, now fuel my improvisational talent and rhythmic passion. As an AI Evangelist and engineer, this musical journey intertwines with cutting-edge technology. I've explored AI's potential in music, from coding melodies with Sonic Pi to integrating VST plugins and employing machine learning to bridge MIDI files and text. This odyssey isn't just about music; it's a testament to the harmony between art and technology, showcasing the boundless possibilities when passion meets innovation.

"Moments of being passable beyond novelty"

"Actually slaps"

At its core, the blorgpulkf is a pulsating, iridescent orb that thrums with an energy that can only be described as "the sound of a thousand bees having a rave inside a kaleidoscope." It's hypnotic, it's unsettling, and it's strangely addictive - like watching a lava lamp filled with Mountain Dew and gummy bears.

But that's just the beginning. Surrounding this pulsing heart are layers upon layers of... well, your guess is as good as mine. One moment it's a tangled web of neon tubes that hum with an eerie frequency, the next it's a churning mass of what appears to be sentient silly putty. And is that a tiny disco ball I see nestled in there? You bet your sweet bippy it is.

As for its features, the blorgpulkf is like a Swiss Army knife designed by a mad scientist with a penchant for pranks. It's got a button that releases a burst of confetti and the sound of a rubber chicken being stepped on, a lever that causes the whole thing to fold in on itself like a origami crane having an existential crisis, and a tiny compartment that dispenses a single, perfectly spherical grape every 37 hours.

But perhaps the most baffling feature of the blorgpulkf is its ability to communicate. Not with words, of course - that would be far too pedestrian. No, the blorgpulkf speaks in a language all its own, a cryptic code of flashing lights, whirring gears, and the occasional burst of atonal jazz played on what sounds suspiciously like a didgeridoo.




The plorksickle. It's like someone took a fever dream, a Mad Lib, and a Dada art installation, threw 'em in a blender, and hit "puree."

Picture this: a contraption that looks like it crawled out of a Salvador Dali painting and mated with a Rube Goldberg machine. It's got a crank that sounds like a yodeling ostrich, a button that releases a puff of glitter and the scent of existential dread, and a tiny screen that just flashes the word "moist" in Wingdings.

But here's the kicker - every time you think you've figured out what it does, it changes the game. One minute it's reciting beat poetry in binary code, the next it's turning itself inside out and becoming a Klein bottle. And don't even get me started on the time it started oozing a viscous liquid that tasted like the color purple.

Is it a tool? A toy? A sentient being from another dimension that's just really, really bad at communication? Your guess is as good as mine. All I know is, it's the most beautifully useless thing I've ever laid eyes on.

But maybe that's the point. In a world where everything has to have a purpose, a function, a reason for being, the plorksickle is a big, fat middle finger to the very concept of sense. It's absurdity for absurdity's sake, a Zen koan in physical form.

So if you ever see me on the street, cradling this bizarre little gizmo like a newborn lovechild, don't ask me what it does. Just nod, smile, and know that you're in the presence of something truly inexplicable. Something that laughs in the face of logic and spits in the eye of reason.

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.

As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

Next Gen Performance Marketing, made simple.

New tracks tagged #GPT4