The Thing Madisen and Renee @ The Thing

In part two of the series, Victor G delves into various aspects of machine learning, including training models, the significance of data quality, the benefits of GPUs and TPUs for processing, and the concept of fine-tuning models. We also cover quantization, cosmic rays, spam detection.



https://join.slack.com/t/unsupervisedl-1dv7569/shared_invite/zt-2f6cjnsw7-PJkw8iqsG26rECzat60a8Q

https://www.linkedin.com/in/mrgeislinger/

https://github.com/MrGeislinger

www.victorsothervector.com

unsupervisedlearning.substack.com



www.thething.co

Join us for a 2 part mini-breakdown on common ML terms you may have heard in your AI travels.

Whether you're curious about the difference between data analysis and machine learning, want to know more about adversarial attacks, or just looking to demystify AI jargon, this episode's got you covered.
Victor's stories and insights promise to light up the sometimes confusing world of AI, making it accessible and fun for everyone watching.
Guest Links-
Something new is coming   / visitthething  

  / mrgeislinger  

   • But how does AI really work? Let's st...  
www.thething.co
https://podcasts.apple.com/us/podcast...
www.unsupervisedlearning.co
pod@unsupervisedlearning.co

Sponsored by Jan https://jan.ai/
(run local llms totally offline)


0:00 Intro
00:44 Boot Camp Instructor to Machine Learning Engineer
00:49 Changing Paths
01:14 Data Science to ML
02:56 Specialising in Machine Learning and NLP
03:36 Exploring American Sign Language Through Machine Learning
03:42 A Personal Journey with American Sign Language (ASL)
22:59 Understanding Adversarial Strategies and Model Robustness
27:50 The Magic of Unsupervised Learning: Clustering and Beyond
28:14 Unsupervised Learning: The Magic Behind Clustering
28:14 The Magic of Unsupervised Learning and Clustering

This is a video about Vapi- Building the Voice AI Infastructure of the Future


00:00 Welcome to Unsupervised Learning
01:01 Introducing Jordan The Co-Founder of Vapi
01:23 Diving Deep into Latency and Voice AI Challenges
04:05 Exploring Vapi's Developer Tool and Its Impact
06:36 The Future of Voice AI
09:06 Ethical Considerations and the Dark Side of AI
10:01 Voice as the Ultimate Interface
32:48 The Potential and Pitfalls of Brain Interfaces
34:34 Wrapping Up and Where to Find Us

Guest Links-
Website
vapi.ai
Discord- https://discord.gg/pUFNcf2WmH
Vapi has office hours with their CTO and eng team.
Twitter
twitter.com/vapi_ai
TikTok
tiktok.com/@vapi_ai
Substack
vapi.substack.com
Medium
medium.com/@vapi_ai

(un)Supervised Learning links
https://www.linkedin.com/company/unsupervisedlearning
ko-fi.com/unsupervisedlearning
https://podcasts.apple.com/us/podcast/unsupervised-learning/id1728592020
www.unsupervisedlearning.co
pod@unsupervisedlearning.co
Sponsored by Jan https://jan.ai/

feeding the algo-

how to create voice with ai
Vapi
voice ai infastructure
how to make an ai voice assistant
PlayHT voice

This episode of Unsupervised Learning gets nerdy with former data science bootcamp instructor turned Google ML engineer, Victor G ! We're unpacking everything from machine learning basics to the mind-bending ethics of AI.

Guest Links-
https://www.linkedin.com/in/mrgeislinger/
https://www.youtube.com/watch?v=qXMD4PyDJTA

Discussed in show-
"Weapons of math destruction -Cathy O'Neill"

https://www.bloomberg.com/graphics/2024-openai-gpt-hiring-racial-discrimination/?leadSource=uverify%20wall

https://www.abc.net.au/news/science/2022-09-18/crab-convergent-evolution-crustacean-australia-marine-biology/101388282
https://www.indy100.com/viral/woman-chip-implanted-hand-tiktok-b1936726

(un)Supervised Learning links
https://www.linkedin.com/company/unsupervisedlearning
ko-fi.com/unsupervisedlearning
https://podcasts.apple.com/us/podcast/unsupervised-learning/id1728592020
www.unsupervisedlearning.co
pod@unsupervisedlearning.co
Sponsored by Jan https://jan.ai/
(run local llms totally offline)

Breaking Down AI Hype What are foundational models really?
How do those crazy things like GPT and BERT actually work?
Beyond the Lab How do we take machine learning models from the lab to real-world impact (that's where MLOps comes in).
The Ethics Question Can AI detect your emotions?
Should it?
We're getting into the tricky territory of bias and fairness in machine learning.
The Future is...Weird Where is this tech going?
We'll make some wild predictions and look back at how far we've come (remember the first smartphones?

00:00 Welcome to Unsupervised Learning: Diving into Open Source Tech
00:55 Exploring the Concept of Foundational Models in AI
03:44 BERT: Unpacking Its Mechanism and Impact
11:59 The Intricacies of Machine Learning Operations (MLOps)
15:08 Ethical Considerations in AI: From Emotion Detection to Biometrics
27:37 Exploring the Impact of Bias in AI and Machine Learning
29:20 The Challenge of Accessing Quality Research Behind Paywalls
30:24 The Intricacies of Machine Learning and Bias Mitigation
36:57 Future Predictions and the Evolution of Technology
44:31 Reflecting on the Past and Imagining the Future of Smartphones

This episode of 'Unsupervised Learning' features an insightful conversation with Ritendra Datta, Head of Applied AI at Databricks, exploring the intersection of human behavior, technology innovation, and the creative process behind directing a movie and building a product.

Find the video version here : https://youtu.be/GdomL_dGssw?feature=shared

Datta discusses his career journey from Google to Facebook to Databricks and his involvement in external mentorship through Mentor Cruise. The dialogue delves into AI's influence on society, the differences between applied and generative AI, and the utility of AI in diverse applications like anomaly detection in industrial settings.



Datta also shares his thoughts on leadership, team building, the synergy between engineering and filmmaking, and the importance of bridging technological advancement with human-centric design and empathy. The conversation also touches upon his efforts to support independent cinema through mentoring revenue.



Guest Links-

https://www.databricks.com/customers/shell

https://www.linkedin.com/in/ritendradatta

https://ritendra.weebly.com/

https://mentorcruise.com/mentor/ritendradatta/

https://medium.com/@ritendra.datta



Culture of Code

https://www.youtube.com/channel/UCCNZuZjMs8jkGFEKKcVUzfw



One of Ritendra's Short Film

https://www.youtube.com/watch?v=dK6OK_p0PLc&t=107s&ab_channel=ShortCutProductions%28SCP%29



https://www.linkedin.com/posts/ritendradatta_i-have-decided-to-remove-paywall-on-all-the-activity-7169229825465892865-R2To?utm_source=share&utm_medium=member_desktop



Show Links

https://www.unsupervisedlearning.co

Product analytics is a weird, complex world. Posthog gives users (small and large) a way to dig into their user behaviour without vendor lock-in. Join me for a fascinating conversation with James Hawkins, co-founder of PostHog. We chat about

The Y Combinator journey...with shoes?
Why open-source? Strategy, spaghetti-slinging, luck and choices
Building with devs in mind- How PostHog shifted its focus.
Want the video of this?

https://youtu.be/ZXjn9ZOrMDg?feature=shared
James
https://twitter.com/james406posthog.com​​/handbook
GitHub-https://github.com/PostHog/posthoghttps://www.linkedin.com/in/j-hawkinshttps://posthog.com/https://twitter.com/posthog





(un)Supervised Learning linkshttps://www.linkedin.com/company/unsupervisedlearningko-fi.com/unsupervisedlearninghttps://podcasts.apple.com/us/podcast/unsupervised-learning/id1728592020www.unsupervisedlearning.copod@unsupervisedlearning.co Sponsored by Jan https://jan.ai/

00:00 Intro
01:02 The Unsettled Debt 
01:40 Omg, Shoes  
03:14 The Evolution of Post Hog: From Idea to Open Source Analytics
06:47 The Genesis of Post Hog and Marketing Insights
08:36 Redefining Customer Retention and Product Development
12:17 Engineering Culture and Remote Work Dynamics at Post Hog
13:05 The Philosophy of Minimum Viable Understanding
16:17 Personal Reflections and the Craft of Invention
18:39 The Philosophy Behind Posthog's Product Strategy
18:45 Embracing Competition and Execution Over Concept
19:33 The Genesis of the Handbook: A Story of Trust and Transparency
20:12 Building Trust with Early Users Through Transparency
21:26 The Impact of the Handbook on Company Culture and Brand
22:07 Addressing Organizational Debt and Pay Transparency
23:38 The Unconventional Path
24:16 How Y Combinator Transformed Posthog
30:14 Navigating the Challenges of Building a Community