Data Science at Home

Building Self Serve Business Intelligence With AI and LLMs at Zenlytic (Ep. 235)

In this episode, we dive into the world of data analytics and artificial intelligence with Ryan, the CEO, and Paul, the CTO of Zenlytic. Having graduated from Harvard and with extensive backgrounds in venture capital, consulting, and data engineering, Ryan and Paul provide valuable insights into their journey of building Zenlytic, a cutting-edge analytics platform. Join us as we explore how Zenlytic's natural language interface enhances user experiences, enabling seamless access and analysis of analytics data. Discover how their self-service platform empowers teams to leverage business intelligence effectively, and learn about the unique features that set Zenlytic apart from other analytics platforms in the market. Delve into the crucial aspects of data security and privacy while granting team access, and find out how Zenlytic's analytics capabilities have transformed companies into data-driven decision-makers, ultimately improving their performance.
References
Zenlytic Website: https://www.zenlytic.com/product
AI Will Save the World (a16z): https://a16z.com/2023/06/06/ai-will-save-the-world/
Llama AI (ai.meta.com): https://ai.meta.com/llama/
"Llama 2: Open Foundation and Fine-Tuned Chat Models" (arxiv.org): https://arxiv.org/abs/2307.09288
"GPT-4 Technical Report" (arxiv.org): https://arxiv.org/abs/2303.08774

Money, Cryptocurrencies, and AI: Exploring the Future of Finance with Chris Skinner (Ep. 234)

In this captivating podcast episode, join renowned financial expert Chris Skinner as he delves into the fascinating realm of the future of money. From cryptocurrencies to government currencies, the metaverse to artificial intelligence (AI), Skinner explores the intricate interplay between technology and humanity. Gain valuable insights as he defines the future of money, examines the potential impact of cryptocurrencies on traditional government currencies, and addresses the advantages and disadvantages of digital currencies. Delve into the complex issues of regulation and governance in the context of emerging financial technologies, and discover Skinner's unique perspective on the metaverse and its implications for the future of money and technology. Brace yourself for an enlightening discussion on the integration of AI in the financial sector and its potential impact on humanity. Tune in to explore the cutting-edge concepts that shape our financial landscape and get a glimpse of what lies ahead.
 
You can read about Chris at https://thefinanser.com/
 
Sponsors
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Debunking AGI Hype and Embracing Reality (Ep. 233)

In this thought-provoking episode, we sit down with the renowned AI expert, Filip Piekniewski, Phd, who fearlessly challenges the prevailing narratives surrounding artificial general intelligence (AGI) and the singularity. With a no-nonsense approach and a deep understanding of the field, Filip dismantles the hype and exposes some of the misconceptions about AI, LLMs and AGI. Join us as we delve into the real-world implications of AI, separating fact from fiction, and gaining a firm grasp on the tangible possibilities of AI advancement. If you're seeking a refreshingly pragmatic perspective on the future of AI, this episode is an absolute must-listen.
 
Filip Piekniewski Bio
Filip Piekniewski is a distinguished computer vision researcher and engineer, specializing in visual object tracking and perception. He approaches machine learning with a pragmatic mindset, recognizing its current limitations. Filip earned his Ph.D. from Warsaw University, where he explored neuroscience and later joined Brain Corporation in San Diego. His extensive study of neuroscience inspired him to develop innovative, bio-inspired machine learning architectures. Filip's unique blend of scientific curiosity and software engineering expertise allows him to quickly prototype and implement new ideas. He is known for his realistic perspective on AI, debunking AGI hype and focusing on tangible advancements.
 
Sponsors
Finally, a better way to do B2B research. NewtonX The World’s Leading B2B Market Research Company
Explore the Complex World of Regulations. Compliance can be overwhelming. Multiple frameworks. Overlapping requirements. Let Arctic Wolf be your guide.Check it out at https://arcticwolf.com/datascience
Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Defense, Robotics and Predictive maintenance.
 
References
https://twitter.com/filippie509
http://blog.piekniewski.info/ (On limits of deep learning and where to go next with AI.)
 
 

Full steam ahead! Unraveling Forward-Forward Neural Networks (Ep. 232)

In this exciting episode, we dive into the world of Forward-Forward Neural Networks, unveiling their mind-boggling power and potential. Join us as we demystify these advanced AI algorithms and explore how they're reshaping industries and revolutionizing machine learning. From self-driving cars to personalized medicine, discover the cutting-edge applications that are propelling us into a new era of AI greatness. Get ready to unlock the secrets of Forward-Forward Neural Networks and witness the future of artificial intelligence unfold before your eyes. Don't miss out – tune in now and be part of the AI revolution!
Sponsors
Explore the Complex World of Regulations. Compliance can be overwhelming. Multiple frameworks. Overlapping requirements. Let Arctic Wolf be your guide.Check it out at https://arcticwolf.com/datascience
Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Defense, Robotics and Predictive maintenance.
 
References
The Forward-Forward Algorithm: Some Preliminary Investigations
 

The LLM Battle Begins: Google Bard vs ChatGPT (Ep. 231)

Brace yourselves as we uncover the mind-blowing AI model, Google Bard, that's poised to challenge ChatGPT and other conversational AI systems. Join us as we explore the revolutionary features of Bard, its cutting-edge architecture, and its ability to generate human-like responses. Discover why AI enthusiasts are buzzing with excitement. References: [1] [2] [3]
 
Sponsors
Finally, a better way to do B2B research. NewtonX The World's Leading B2B Market Research Company
 
References
Google Unveils Palm-2: Its Revolutionary AI Model.  https://datascientest.com/en/google-unveils-palm-2-its-revolutionary-ai-model
Google AI - Discover Palm-2 https://ai.google/discover/palm2/
"Palm-2: A Large Scale Language Model for Conversational AI." ArXiv preprint arXiv:2305.10403 (2023).  https://arxiv.org/abs/2305.10403

Unleashing the Force: Blending Neural Networks and Physics for Epic Predictions (Ep. 230)

In this enlightening episode of our podcast, we delve into the fascinating realm of Physics Informed Neural Networks (PINNs) and explore how they combine the extraordinary prediction capabilities of neural networks with the unparalleled accuracy of physics models.
Join us as we unravel the mysteries behind PINNs and their potential to revolutionize various scientific and engineering domains. We'll discuss the underlying principles that enable these networks to incorporate physical laws and constraints, resulting in enhanced predictions and a deeper understanding of complex systems.
 
Sponsors
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References
Physics Informed Deep Learning https://maziarraissi.github.io/PINNs/

AI’s Impact on Software Engineering: Killing Old Principles? [RB] (Ep. 229)

In this episode, we dive into the ways in which AI and machine learning are disrupting traditional software engineering principles. With the advent of automation and intelligent systems, developers are increasingly relying on algorithms to create efficient and effective code. However, this reliance on AI can come at a cost to the tried-and-true methods of software engineering. Join us as we explore the pros and cons of this paradigm shift and discuss what it means for the future of software development.
 
Sponsors
Bloomberg
At Bloomberg, they solve complex, real-world problems for customers across the global capital markets. From real-time market data to sophisticated analytics, powerful trading tools, and more, Bloomberg engineers work with systems that operate at scale. If you're a software engineer looking for an exciting and fulfilling career, head over to bloomberg.com/careers to learn more.
 Arctic Wolf
Cybercriminals are evolving. Their techniques and tactics are more advanced, intricate, and dangerous than ever before. Industries and governments around the world are fighting back, unveiling new regulations meant to better protect data against this rising threat. Arctic Wolf — the leader in security operations — is on a mission to end cyber risk by giving organizations the protection, information, and confidence they need to protect their people, technology, and data. Visit arcticwolf.com/datascience to take your first step.

Warning! Mathematical Mayhem Ahead: Demystifying Liquid Time-Constant Networks (Ep. 228)

Hold on to your calculators and buckle up for a wild mathematical ride in this episode! Brace yourself as we dive into the fascinating realm of Liquid Time-Constant Networks (LTCs), where mathematical content reaches new heights of excitement.
In this mind-bending adventure, we demystify the intricacies of LTCs, from complex equations to mind-boggling mathematical concepts, we break them down into digestible explanations.
 
References
https://www.science.org/doi/10.1126/scirobotics.adc8892
https://spectrum.ieee.org/liquid-neural-networks#toggle-gdpr
 

Efficiently Retraining Language Models: How to Level Up Without Breaking the Bank (Ep. 227)

Get ready for an eye-opening episode! 🎙️
In our latest podcast episode, we dive deep into the world of LoRa (Low-Rank Adaptation) for large language models (LLMs). This groundbreaking technique is revolutionizing the way we approach language model training by leveraging low-rank approximations.
Join us as we unravel the mysteries of LoRa and discover how it enables us to retrain LLMs with minimal expenditure of money and resources. We'll explore the ingenious strategies and practical methods that empower you to fine-tune your language models without breaking the bank.
Whether you're a researcher, developer, or language model enthusiast, this episode is packed with invaluable insights. Learn how to unlock the potential of LLMs without draining your resources.
Tune in and join the conversation as we unravel the secrets of LoRa low-rank adaptation and show you how to retrain LLMs on a budget.
Listen to the full episode now on your favorite podcast platform! 🎧✨
 
References
LoRA: Low-Rank Adaptation of Large Language Models https://arxiv.org/abs/2106.09685
Low-rank approximation https://en.wikipedia.org/wiki/Low-rank_approximation
Attention is all you need https://arxiv.org/pdf/1706.03762.pdf
 

Revolutionize Your AI Game: How Running Large Language Models Locally Gives You an Unfair Advantage Over Big Tech Giants (Ep. 226)

This is the first episode about the latest trend in artificial intelligence that's shaking up the industry - running large language models locally on your machine. This new approach allows you to bypass the limitations and constraints of cloud-based models controlled by big tech companies, and take control of your own AI journey.
We'll delve into the benefits of running models locally, such as increased speed, improved privacy and security, and greater customization and flexibility. We'll also discuss the technical requirements and considerations for running these models on your own hardware, and provide practical tips and advice to get you started.
Join us as we uncover the secrets to unleashing the full potential of large language models and taking your AI game to the next level!
Sponsors
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References
https://agi-sphere.com/llama-models/
https://crfm.stanford.edu/2023/03/13/alpaca.html
https://beebom.com/how-run-chatgpt-like-language-model-pc-offline/
https://sharegpt.com/
https://stability.ai/