This short ep sees us tallking about data privacy, SB1047 (Californian AI bill), what a new world looks like + more Thanks for joining us were inspired by early bulletin board systems and online communities where a project that's just getting started. But our goal is to make tech more human for the public and to reduce monopolies, you can get in touch with @ thething.co and until next week. Stay curious.

Best viewed on youtube! https://youtu.be/SmZLS4BjN7g?feature=shared Welcome to The Thing! We're a non-profit media studio making machine learning more human through stories and education. Think a chaotic good 4chan meets a more artistic Wikipedia, building a free digital commons for everyone. Ever wondered how a company actually gets built? (lol same).This is part one of us saying wth we're doing. Join us (Madisen and Renee) in part one of our origin story, as we share how we met, our approach to open company building (yes, we're showing you actual meetings!), and our vision for merging tech and media. Connect with us Slack:https://join.slack.com/t/buildingthething/shared_invite/zt-2f6cjnsw7-PJkw8iqsG26rECzat60a8Q Email: hello@thething.co We're exploring- Machine learning AI for social good Open company building And much more!

In this episode, cofounders Madisen and Renee break down their thoughts on the wild world of social media.  Get ready for some real talk about the attention economy, hive mind mentality, and the differences between digital curation and creation.  Welcome to The Thing!  We're a nonprofit media studio making machine learning  more human through stories and education.  Think a chaotic good 4chan meets a more artistic Wikipedia, building a free digital commons for everyone.  We're diving deep into AI with journalism, case studies,  events, research, and more. This is just the beginning. Join us! Connect with us: Slack: https://join.slack.com/t/buildingthething Email: hello@thething.co We're exploring: Machine learning AI for social good AI Ethics Social media and the attention economy

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/ 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

AI, Interfaces and Engaging with Users In this Unsupervised Learning podcast episode, Renee converses with Chief of Staff at AI sales startup Aomni, about the evolution and challenges of interacting with AI tools. Guest Links- https://www.linkedin.com/in/sawyer-middeleer/ https://twitter.com/aomniapp https://twitter.com/sawyermidddd https://www.sawyerm.xyz/ https://www.aomni.com/ (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 Introduction 02:52 Guest Background and Journey into AI 04:24 Deep Dive into Aomni and its Services 08:00 Exploring the Intersection of AI and Generalist Mindsets 13:58 Challenges and Future Directions in AI Interactions 21:48 The Power of AI in Sales 23:00 Overcoming Objections in B2B Sales 25:54 Challenges and Opportunities in AI Adoption 28:19 The Future of AI and Tech 31:27 Closing Thoughts and Future Aspirations

A chat with People ops evangelist Emily WitkoIn this episode Emily discusses their role at AI startup darling, Hugging Face, and what working in a deeply technical field looks like for someone with a "non-technical" background. With a background in customer-facing roles, Emily discusses the journey of career transitions to AI and opensource.Guest Links-https://huggingface.co/chat/assistantshttps://www.linkedin.com/in/emilywitko/https://hf.co/chat/assistant/65c116edf1df938c33a1b944(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/Timeline00:00 Introduction and Initial Struggles00:25 Discussing Roles and Responsibilities01:08 Career Background and Transition to Tech03:04 The Journey to Understanding Technical Conversations03:24 Discovering Hugging Face and Joining the Team06:42 The Culture and Diversity at Hugging Face07:48 The Hiring Process and Job Description at Hugging Face08:39 The Role of Openness and Experimentation in Open Source10:25 The Importance of Flexibility and Confidence in Open Source15:34 The Journey to Hugging Face and the Importance of Psychological Safety22:51 The Growth and Impact of Hugging Face23:05 The Challenges and Rewards of Working in AI26:54 The Importance of Knowledge Sharing and Communication32:45 The Role of AI in Pay Equity and Inclusivity41:43 Conclusion: The Future of AI and Hugging Face

Mike Bird, Technical Community Manager at OpenInterpreter, joins Renee on the Unsupervised Learning podcast. They talk about hackathons, local ai setups using a streamdeck and opensource LLMs. Open Interpreter enables AI to translate tasks into code, automating repetitive tasks. 00:35 Exploring Open Interpreter and its Capabilities 01:13 Mike's Journey to Joining Open Interpreter 02:37 The Impact of Open Source and AI on Society 05:51 Understanding the Use of AI in Different Fields 19:41 Understanding Open Interpreter and AI Alignment 20:53 Exploring the Power of Automation with Stream Deck 23:59 The Open Source Journey and Its Impact 29:57 Embedded AI and Open Interpreter 35:23 Final Thoughts and Contact Information Guest-Mike Bird https://openinterpreter.com/ https://twitter.com/MikeBirdTech https://github.com/KillianLucas/open-interpreter/ Chat "arena" https://chat.lmsys.org/ (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 mailto:pod@unsupervisedlearning.co Sponsored by Jan https://jan.ai/

Exploring B2B Automation and AI in Conversation with Kyle Legare In this episode of (un)Supervised Learning, host Renee interviews Kyle Legare, an Account Executive in the B2B sector, on various topics from home automation to making tech more accessible. They also chat on LLM projects from coding to voice recognition, and how building a phone number for children to interact with a synthetic 'Santa' voice became a reality. The two discuss the importance of offline AI operation, especially in home automation settings, and how platforms, like Jan.ai and LangChain, make the use of AI technology seamless for non-technical people. They also chat on how banking and finance are using AI. Lastly, the conversation ventures into the AI community in Vancouver, noting the diverse perspectives on AI's capabilities and potential. Guest Links- https://www.linkedin.com/in/kylelegare Mentioned- https://www.linkedin.com/in/reidtrobinson/ https://www.linkedin.com/in/harrison-chase-961287118/ (un)Supervised Learning links https://www.linkedin.com/company/unsupervisedlearning ko-fi.com/unsupervisedlearning https://podcasts.apple.com/us/podcast/-un-supervised-learning-pod/id1728592020 www.unsupervisedlearning.co pod @ unsupervisedlearning . co Common links Finetuning 30x faster- https://unsloth.ai/ Sponsored by Jan https://jan.ai/ Opensource AI agent – https://superagent.sh/ Langchain – https://python.langchain.com/docs/expression_language/cookbook/ Big list of local ai repos- https://www.unsupervisedlearning.co/p/os-local-ai-list 0:00 Unsupervised 00:23 Introduction and Initial Conversations 00:31 Exploring Practical Applications of LLMs 03:16 Discovering the Power of LLMs 05:17 The Intersection of Technical and Non-Technical Worlds 07:37 The Future of AI and Communication 20:43 The Art of Communication and Feedback 21:02 Language Models and Fine-Tuning 22:25 The Excitement and Challenges of AI Agents 24:48 Misconceptions and Realities of AI 29:27 The Impact of AI in the Banking and Finance Industry 38:35 Keeping Up with the Rapidly Evolving AI Space

In this episode of the Unsupervised Learning podcast, host Renee speaks with AI pioneer and OpenRouter founder, Alex Attala, about using machine learning models in a cost-effective way. They go into ways to reduce LLM costs, leveraging different models based on cost and stability. The conversation also covers the functionality of OpenRouter, which allows users to access multiple language models from one place. Alex discusses his hopes for decentralization and greater user control, which can be seen in his project, Window AI. Stay tuned for the next episode featuring Rajiv Shah, a veteran in AI and data science. Links mentioned- Where to find Alex https://twitter.com/xanderatallah https://www.linkedin.com/in/alexatallah https://openrouter.ai/ LLM video by AI Jason- https://www.youtube.com/watch?v=lHxl5SchjPA&t=853s Unsupervised Learning- Website Linkedin Donate Got a question?- pod@unsupervisedlearning.co 0:00 Ep 2- LLM cost reduction 01:51 Alex Attala and His Contributions to Open Source AI 01:57 Understanding Open Router and Its Benefits 04:29 Exploring Window AI and Its Potential 05:50 The Birth of OpenRouter and Its Impact 06:14 The Future of Decentralization and AI 07:00 Making AI Models More Accessible 08:10 The Importance of Incentives in AI Protocols 08:32 The Evolution of GPUs and AI Models 09:32 Conclusion: The Power of Good Data

Episode 1!!! Today we chat about AI Training with (un)Supervised Learning and Daniel from Unsloth.ai The good stuff- Unsloth https://www.unsloth.ai https://ko-fi.com/unsloth https://github.com/unslothai In this episode of Unsupervised Learning, host Renee interviews Daniel, the co-founder of Unsloth, an AI training system that fine-tunes language models 30 times faster. They discuss Daniel's beginnings at Nvidia, his passion for making AI accessible and efficient, and his ultimate vision of creating a personal ChatGPT for everyone that operates on local machines. Daniel explains the concept of Retrieval Augmented Generation (RAG) as a knowledge injection system and elaborates on the current uses and future plans for Unsloth. The episode also touches on the issues with representing maths in language models and the misconceptions people have about working with large language models. Have something to say? feedback, love notes or recommend a mate to join the pod @ renee@unsupervisedlearning.co 00:00 Introduction to the Podcast 00:26 Understanding Unsloth: The AI Training System 00:58 Daniel's Journey from NVIDIA to Unsloth 02:15 The Power of OpenAI's Triton Language 02:38 The Magic Behind Unsloth's Fine-Tuning Process 03:42 Community Engagement and Use Cases of Unsloth 05:03 Working with Family in the AI Space 05:35 The Role of Autonomous Agents in AI Development 06:57 Challenges of Using Language Models for Math 09:03 Unsloth's Vision for Democratizing AI 09:56 Misconceptions and Best Practices in Working with LLMs 14:21 Understanding Retrieval Augmented Generation (RAG) 17:29 Staying Updated in the AI Space 18:26 Supporting Unsloth's Open Source Initiative 19:29 Conclusion: The Future of AI with Unsloth