Call them changemakers. Call them rule breakers. We call them Redefiners. And in this provocative podcast, we explore how daring leaders from across industries and around the globe are redefining their organizations—and themselves—to create extraordinary impact in today’s rapidly changing world. In each episode, Russell Reynolds Associates Leadership Advisor Hoda Tahoun and former CEO Clarke Murphy host engaging, purposeful conversations with leaders in and out of the business world who shar ...
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Making LLMs hallucinate less, how to diagnose ML models, from PM in Google AI to CEO of Galileo - Vikram Chatterji - The Data Scientist Show #066
Manage episode 372919414 series 3012777
Content provided by Daliana Liu. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daliana Liu or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Vikram is the co-founder of Galileo – an AI diagnostics and explainability platform used by data science teams building NLP, LLMs and Computer Vision models across the Fortune 500 and high growth startups. Prior to Galileo, Vikram led Product Management at Google AI, where his team built models for the Fortune 2000 across retail, financial services, healthcare and contact centers. He has a master degree from Carnegie Mellon University from the school of computer science. If you enjoy the show, subscribe to the channel and leave a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.
Resources:LLM Studio: https://www.rungalileo.io/blog/announcing-llm-studio
Galileo: https://www.rungalileo.io/
Blog on LLM Hallucination: https://thesequence.substack.com/p/guest-post-stop-hallucinations-from
Vikram Chatterji’s LinkedIn: https://www.linkedin.com/in/vikram-chatterji/
"The Mom Test": https://www.amazon.com/The-Mom-Test-Rob-Fitzpatrick-audiobook/dp/B07RJZKZ7F
Daliana's Twitter: https://twitter.com/DalianaLiu
Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu
(00:00:00) Introduction
(00:04:24) How he got into machine learning
(00:06:53) Diagnosing large language models
(00:09:56) Addressing model hallucination
(00:12:46) Metrics for measuring hallucination
(00:17:30) From Google AI to starting Galileo
(00:24:08) Developing LLMs and putting them into production
(00:32:51) Galileo's diagnostics and explainability platform
(00:43:16) Advice for data scientists when joining a startup
93 episodes
ShareManage episode 372919414 series 3012777
Content provided by Daliana Liu. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daliana Liu or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Vikram is the co-founder of Galileo – an AI diagnostics and explainability platform used by data science teams building NLP, LLMs and Computer Vision models across the Fortune 500 and high growth startups. Prior to Galileo, Vikram led Product Management at Google AI, where his team built models for the Fortune 2000 across retail, financial services, healthcare and contact centers. He has a master degree from Carnegie Mellon University from the school of computer science. If you enjoy the show, subscribe to the channel and leave a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.
Resources:LLM Studio: https://www.rungalileo.io/blog/announcing-llm-studio
Galileo: https://www.rungalileo.io/
Blog on LLM Hallucination: https://thesequence.substack.com/p/guest-post-stop-hallucinations-from
Vikram Chatterji’s LinkedIn: https://www.linkedin.com/in/vikram-chatterji/
"The Mom Test": https://www.amazon.com/The-Mom-Test-Rob-Fitzpatrick-audiobook/dp/B07RJZKZ7F
Daliana's Twitter: https://twitter.com/DalianaLiu
Daliana's LinkedIn: https://www.linkedin.com/in/dalianaliu
(00:00:00) Introduction
(00:04:24) How he got into machine learning
(00:06:53) Diagnosing large language models
(00:09:56) Addressing model hallucination
(00:12:46) Metrics for measuring hallucination
(00:17:30) From Google AI to starting Galileo
(00:24:08) Developing LLMs and putting them into production
(00:32:51) Galileo's diagnostics and explainability platform
(00:43:16) Advice for data scientists when joining a startup
93 episodes
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The Data Scientist Show - Daliana Liu
1 Why I’m ending this show. Death, afterlife, Chinese philosophy, and what’s next? Daliana Liu ft. Tina Huang #92 44:24
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Play Later Play Later Lists Like LikedI had a fun “funeral” of this show with Tina Huang, we talked about death, afterlife, and the various transitions as content creators. Get coached by Daliana:• DS/ML Career Accelerator • Personal Branding Accelerator • Join the newsletter with 20k readers to read my career stories here .
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The Data Scientist Show - Daliana Liu
1 Unfiltered advice - How to advance your career in data science & ML - The Data Scientist Show with Daliana Liu and Jon Krohn #091 1:33:38
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Play Later Play Later Lists Like Liked➡️ Learn more about the DS Career Coaching Course . I went on Super Data Science with Jon Krohn to discuss how to accelerate your career in data science, why I paused the podcast, and how to navigate the industry's change. Join 20k subscribers to read more about career influence and personal branding. Subscribe here .…
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The Data Scientist Show - Daliana Liu
1 From Meta to independent data consultant, Seattle Data Guy moved to Denver, Ben Rogojan, the data scientist show #090 1:02:13
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Play Later Play Later Lists Like LikedBen Rogojan, aka, Seattle data guy is an ex-Meta data engineer turned data engineering consultant and YouTuber. He has 100k followers each on YouTube and LinkedIn. We talked about how he become an independent consultant and the current state of data engineering. - Ben’s LinkedIn: https://www.linkedin.com/in/benjaminrogojan/ - Daliana’s newsletter on career growth and personal branding: https://dalianaliu.kit.com/profile Hi! I'm Daliana Liu Join 20,000+ subscribers to read the career lessons from my 7-year experience at Amazon and my solo-founder journey.…
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The Data Scientist Show - Daliana Liu
1 Why data scientists are tired, six real data scientists' frustrations - The Data Scientist Show #089 42:22
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Play Later Play Later Lists Like LikedDaliana interviewed 6 data scientists from her meetup in New York City. It's a unique episode where you get to hear the real frustrations of data scientists. We talked about struggles working in healthcare, finance, data quality and AI, how to advocate for yourself, and align with your managers. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career. Daliana's Twitter: https://twitter.com/DalianaLiu Daliana’s LinkedIn: https://www.linkedin.com/in/dalianaliu/…
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The Data Scientist Show - Daliana Liu
1 Why 80% of A/B tests fail, how to 10X your experimentation velocity - Kristi Angel - The Data Scientist Show #088 43:46
43:46 Play Later Play Later Lists Like Liked43:46
Play Later Play Later Lists Like LikedMost experimentations fail, Kristi Angel shares her expertise on scaling experimentation and avoiding common A/B testing pitfalls. Learn five things that can help boost test velocity, designing impactful experiments, and leveraging knowledge repos. (Chapters below) Kristi Angel’s LinkedIn: https://www.linkedin.com/in/kristiangel/ Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career. Daliana's Twitter: https://twitter.com/DalianaLiu Daliana’s LinkedIn: https://www.linkedin.com/in/dalianaliu/ (00:00:00) Intro (00:01:26) Why do most experimentations fail? (00:07:05) Mistakes in choosing metrics (00:10:05) Is revenue a good metric? (00:13:18) Split metrics in three ways (00:15:10) Daliana's story with too many category breakdowns (00:16:59) What makes the best data science team? (00:19:24) Data scientist work in silo vs in a data science team (00:21:15) Building a knowledge center (00:23:40) Example of knowledge center; nuance of experimentations (00:26:09) How many metrics and variants? (00:30:56) How to reduce noise - CUPED (00:33:01) Future of A/B testing (00:38:33) Q&A: Low statistical power…
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The Data Scientist Show - Daliana Liu
1 From physics PhD to data science leader, unexpected challenges in survey data, Python vs R, EDA best practices, building MLOps toolkit - Julia Silge - The Data Scientist Show #087 46:18
46:18 Play Later Play Later Lists Like Liked46:18
Play Later Play Later Lists Like LikedJulia Silge is an engineering manager at Posit PBC, formerly know as R-studio, where she leads a team of developers building open source software MLOps. Before Posit, she finished a PhD in astrophysics, worked for several years in the nonprofit space, and was a data scientist at Stack Overflow where some of her most public work involved the annual developer survey. We talked about MLOps tools, challenges in survey data, text analysis, and balancing her interests in data science and engineering. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career. Daliana's Twitter: https://twitter.com/DalianaLiu Daliana’s LinkedIn: https://www.linkedin.com/in/dalianaliu/ (00:00:00) Introduction (00:00:56) Getting into data science (00:04:50) Transition from data centers to engineering manager (00:14:04) Common challenges in tool development (00:17:38) Challenges with survey data (00:26:47) Engineering skills for data scientists (00:28:59) Balancing roles (00:34:49) Developing skills in Exploratory Data Analysis (EDA) (00:39:19) Python vs. R for data analysis (00:44:40) Exciting aspects in career and personal life…
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The Data Scientist Show - Daliana Liu
1 Why he created Pandas, the future of data systems, why he left his CTO role to become a chief architect - Wes McKinney - The Data Scientist Show #086 52:24
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Play Later Play Later Lists Like LikedWes McKinney is the co-creator of pandas library and he is the cofounder of Voltron data. Currently he is a principal Architect at Posit and an investor in data systems. Daliana's Twitter: https://twitter.com/DalianaLiu Daliana’s LinkedIn: https://www.linkedin.com/in/dalianaliu/ Wes' LinkedIn: https://www.linkedin.com/in/wesmckinn/ (00:00:00) Introduction (00:00:44) How Pandas Started (00:06:40) Voltron Data (00:10:03) Benefits of Easy-to-Use Data Tools (00:13:20) The Rise of New Data Tools (00:18:07) Choosing Tools: Vertical or Flexible? (00:23:01) Big Models and Data Tools (00:29:29) Challenges in Building a Product (00:31:28) Becoming a Top Architect (00:34:55) Missed Aspects of Previous Roles (00:39:04) A Busy Week: Advising, Designing, Investing (00:43:42) Improving Open Source (00:45:24) How to Decide What to Work On (00:46:28) What he’s learning now (00:47:56) Excitement in Career and Life (00:48:29) Using ChatGPT for Learning (00:50:27) Future Impact Goals…
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The Data Scientist Show - Daliana Liu
1 From financial analyst to director of analytics, how to get promoted quickly, 7 elements of influence - Christopher Fricker - The Data Scientist Show #085 1:13:51
1:13:51 Play Later Play Later Lists Like Liked1:13:51
Play Later Play Later Lists Like LikedChristopher Fricker is a senior director in analytics and BI at Renaissance Learning. He started his career in finance and later became a data science consultant working with Meta, Netflix, and pre-IPO tech companies doing analytics. We talked about the mental models that helped him grow from a finance analyst to an analytics leader. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career. Chris’ LinkedIn: https://www.linkedin.com/in/christopherfricker/ Daliana's Twitter: https://twitter.com/DalianaLiu Daliana’s LinkedIn: https://www.linkedin.com/in/dalianaliu/ (00:00:00) Introduction (00:01:46) How to get promoted quickly (00:08:40) Power vs authority (00:11:21) First principal thinking (00:32:34) ROI of a data team (00:40:29) How to be persuasive (00:54:52) All Data is wrong (00:56:22) How he audits the data (01:00:52) How to make someone help you at work…
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The Data Scientist Show - Daliana Liu
1 Adapters: the game changer for fine-tuning - Geoffrey Angus - The Data Scientist Show #084 52:45
52:45 Play Later Play Later Lists Like Liked52:45
Play Later Play Later Lists Like LikedI interviewed Geoffery Angus, ML team lead @Predibase to talk about why adapter-based training is a game changer. We started with an overview of fine-tuning and then discussed five reasons why adapters are the future of LLMs. Later we also shared a demo and answered questions from the live audience. Try fine-tuning for free: https://pbase.ai/GetStarted Geoffrey’s LinkedIn:https://www.linkedin.com/in/geoffreyangus Daliana's Twitter: https://twitter.com/DalianaLiu Daliana’s LinkedIn: https://www.linkedin.com/in/dalianaliu/ Daliana's Twitter: https://twitter.com/DalianaLiu Daliana’s LinkedIn: https://www.linkedin.com/in/dalianaliu/ Geoffrey’s LinkedIn: https://www.linkedin.com/in/geoffreyangus Try finetuning for free: https://pbase.ai/GetStarted (00:00:00) Intro (00:01:19) What is Fine-tuning? (00:08:18) Utilizing Adapters for Finetuning Enhancement (00:09:50) 5 reasons why adapters are the future of LLMs (00:26:34) Common Mistakes in Adapters Usage (00:28:34) Training Your Own Adapter (00:32:23) Behind the Scenes of the Adapter Training Process (00:37:51) Config File Guidance for Fine-Tuning (00:39:41) Debugging Strategies for Suboptimal Fine-Tuning Results (00:42:23) User Queries: Creating a LoRa Adapter and Future Support (00:51:06) Key Takeaways and Recap…
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The Data Scientist Show - Daliana Liu
1 Landing a job by analyzing Seattle's crime data, from data scientist to founder of interview query, building a lifestyle business - Jay Feng - The Data Scientist Show #083 35:41
35:41 Play Later Play Later Lists Like Liked35:41
Play Later Play Later Lists Like LikedJay Feng created a viral project using Seattle crime data and later got into data science. He later founded "Interview Query" helping data scientists get jobs. We'll talk about how he landed his data science job through his blog, and his journey from data scientist to founder. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career. Daliana's Twitter: https://twitter.com/DalianaLiu Daliana’s LinkedIn: https://www.linkedin.com/in/dalianaliu/ Jay Feng's LinkedIn: https://www.linkedin.com/in/jay-feng-ab66b049/ Jay Feng's YouTube: https://www.youtube.com/c/DataScienceJay (00:00:00) Introduction (00:01:11) From engineer to data scientist (00:03:10) Got a job through a project (00:05:35) Daliana's portfolio project with Zillow (00:09:13) From data scientist to entreprenuer (00:13:19) "Tinder" for job (00:15:01) How he chose companies to work for (00:15:56) Why he became an entreprenuer (00:17:37) How many hours does he work (00:18:54) Challenges when building "interview query" (00:20:18) Speed vs scale (00:22:11) Growth hacks he used (00:24:22) YouTube vs newsletter (00:27:21) Lessons he learned as a CEO (00:29:16) How to grow from tech employee to founder (00:31:59) How he defines success (00:34:38) If you have a business idea for Jay…
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The Data Scientist Show - Daliana Liu
1 Case studies from the GenAI frontier, scaling ML teams, from biologist to machine learning consultant- Erik Gafni - The Data Scientist Show #082 1:03:40
1:03:40 Play Later Play Later Lists Like Liked1:03:40
Play Later Play Later Lists Like LikedErik Gafni builds AI systems and teams. He founded Eventum AI (https://bit.ly/eventum-ai), an ML consulting company working with high-growth startups. We talked about GenAI projects he worked on, how he built production ML systems, how to scale ML teams, and his journey from biologist to ML researcher. Interested in working with Erik: https://bit.ly/erik-consulting Erik's LinkedIn: https://bit.ly/erik-gafni-LI (00:00:00) Introduction (00:01:59) Is GenAI overhyped? (00:04:28) Ascent translation with AI (00:11:58) Social media app with AI (00:14:00) Stable diffusion model evaluation (00:15:57) "Consult-to-hire" model (00:17:35) AI in biotech (00:22:46) Self-supervised learning (00:31:22) How he hires people (00:33:19) Research vs production (00:35:57) Is AGI coming? (00:37:30) New trends in GenAI (00:41:45) Data quality in GenAI (00:42:58) Philosophy in LLMs (00:49:48) OpenAI vs Open Source (00:53:58) Mistakes he made (00:57:41) How did he get into ML…
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The Data Scientist Show - Daliana Liu
1 Data science job market in 2024, softskills for interviews, AI engineering - Jay Feng - The Data Scientist Show #081 1:07:14
1:07:14 Play Later Play Later Lists Like Liked1:07:14
Play Later Play Later Lists Like LikedJay Feng is the CEO of interview query, a service that help data scientists get jobs. Previously he worked as a data scientist at Nextdoor, Monster. We talked about data science job market, the rise of AI engineering, and the softskills people overlook during interviews. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career. Daliana's Twitter: https://twitter.com/DalianaLiu Daliana’s LinkedIn: https://www.linkedin.com/in/dalianaliu/ Jay Feng's LinkedIn: https://www.linkedin.com/in/jay-feng-ab66b049/ Jay Feng's YouTube: https://www.youtube.com/c/DataScienceJay 00:00:00 Introduction 00:01:11 Data science job market in 2024 00:09:13 Build projects with AI 00:16:19 Softskills in interviews 00:23:18 Daliana's story on "socializing ideas" 00:28:38 Common mistakes in interviews 00:35:30 Product DS vs ML interviews 00:36:27 Product analytics interview questions 00:39:18 Career transition in DS 00:43:04 Jay's career journey 00:45:38 Is there a principal data analyst? 00:51:52 AI engineer 00:54:28 New roles vs obsolete roles in DS 01:04:46 Is data science dead?…
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The Data Scientist Show - Daliana Liu
1 How to handle being laid off (as data scientists), severance negotiation, full-time employment vs independent consultant - The Data Scientist Show #080 1:06:33
1:06:33 Play Later Play Later Lists Like Liked1:06:33
Play Later Play Later Lists Like LikedWe are joined by two data scientists who have firsthand experience with layoffs. We’ll talk about how to negotiate severance packages, how to handle stress, strategies for job hunting post-layoff, and how to reduce risks in full-time employment. Working with Daliana on personal branding: https://forms.gle/heNuZzaHjaAMQwLu6 Her email: daliana@dalianaliu.com Guests: Susan Shu Chang: Linkedin: https://www.linkedin.com/in/susan-shu-chang/ Newsletter: susanshu.substack.com Sundar Swaminathan Linkedin: https://www.linkedin.com/in/sswamina3/ Website: https://www.sundarswaminathan.com/ ( 00:00:00 ) Introduction ( 00:06:13 ) Severance Negotiation ( 00:20:29 ) Identity crisis ( 00:26:22 ) Job search after layoff ( 00:30:21 ) Networking ( 00:35:23 ) Risk at pre-seed startups ( 00:37:03 ) How should data scientists pick companies ( 00:40:43 ) What to ask hiring managers ( 00:45:01 ) Does GenAI change interview processes? ( 00:47:17 ) Are data science teams getting leaner? ( 00:48:56 ) Future of data science roles ( 00:50:37 ) Full time employment and job security ( 00:53:46 ) Benefits of full time jobs ( 00:58:14 ) Reduce risk of being laid off ( 01:00:43 ) How to sell yourself ( 01:02:43 ) How to plan your finances ( 01:05:09 ) How to become an independent consultant…
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The Data Scientist Show - Daliana Liu
1 From data analyst to sales engineer, personality-based career design, sales skills for data people - Jenny Wu - The Data Scientist Show #079 57:26
57:26 Play Later Play Later Lists Like Liked57:26
Play Later Play Later Lists Like LikedJenny Wu is a data analyst turned sales engineer for data products at Hex. We talked about sales engineer vs data analyst, how to design a career based on your personality, and how to transition into a customer-facing role. Jenny’s LinkedIn: https://www.linkedin.com/in/jenny-wu-... Daliana's Twitter: https://twitter.com/DalianaLiu Daliana’s LinkedIn: https://www.linkedin.com/in/dalianaliu/ (00:00:00) Introduction (00:01:34) What is a Sales Engineer? (00:09:35) Sales Engineering Day-to-Day (00:13:09) Challenge in sales (00:21:37) Traits of Successful Salespeople (00:30:32) Stakeholder Engagement (00:36:24) Getting into customer-facing roles (00:43:55) Quitting her job to travel the world (00:48:05) Advice on Career Breaks (00:50:39) Embedding Career and Personal Goals (00:51:57) How do you achieve happiness?…
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The Data Scientist Show - Daliana Liu
1 The future of data science teams, integrating AI into data science workflows, building data apps for stakeholders - Barry McCardel - The Data Scientist Show #078 1:04:56
1:04:56 Play Later Play Later Lists Like Liked1:04:56
Play Later Play Later Lists Like LikedBarry McCardel is the cofounder and CEO of Hex(free trial: hex.tech/dsshow), a collaborative data workspace. Their customers include FiveTran, Notion, and Anthropic. We talked about what does the future of data team look like, how to tackle challenges of data team collaborations, and how to leverage AI in data science’s workflow. 60-day Free Trial: hex.tech/dsshow Barry’s LinkedIn: https://www.linkedin.com/in/barrymccardel (00:00:00) Introduction (00:01:25) Is AI replacing data scientists? (00:06:08) Are data science teams getting smaller? (00:09:54) What is Hex? (00:11:24) How to communicate with stakeholders (00:24:29) Should data scientists be full stack? (00:31:23) How data team measure ROI (00:33:35) Quantitative vs qualitative analysis (00:35:33) When you shouldn't use data? Data vs product intuition (00:41:39) How to hire your first data team? (00:48:59) Is the modern data stack dead? (00:53:55) GenAI in data science workflows (00:59:03) Future of data scientist (01:02:30) New features in Hex…
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Career Tools is a weekly podcast focused on specific actions you can take to grow and enhance your career, whether you are a manager or not. Career Tools won the Podcast Awards Best Business podcast in 2010 and was nominated every other year it has been eligible. Whether you are interested in jump-starting a stalled career, or sharpening your edge, Career Tools is the podcast for you. Go to http://www.manager-tools.com/testimonials to read what others are saying about the impact Career Tools ...
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Awarded Best of Apple Podcasts, The $100 MBA Show delivers practical business lessons for the real world. These no fluff episodes are packed with only the pure business building training you want. Omar Zenhom shares lessons, strategies and insights from 20+ years of entrepreneurship. He’s bootstrapped two multi-million dollar businesses (and several smaller businesses, too). Join him for short, actionable lessons on how to do everything from validating your idea, to audience-building and mar ...
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