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6:11ENRunning WizardCoder Locally with Text Generation WebUIMatthew Berman · Forward FutureMatthew Berman walks through a 2023 setup for a quantized Code Llama-based coding model, from the Python environment to a simple test prompt.
0:23ENWhy Product Quality Matters After the Sale게스트 Meltem Kuran BerkowitzMeltem Kuran Berkowitz on customer expectations in business software.
10:20ENPhind Code Llama 34B vs GPT-4: A 2023 Python Coding TestMatthew Berman · Forward FutureMatthew Berman compares a quantized Phind fine-tune with GPT-4 on games, short functions and refactoring, with mixed results.
55:08ENOne Model Inside 38 Products: Paige Bailey on How Google Trains and Ships PaLM 2진행자 Nathan LabenzAt Google I/O in May 2023, PaLM 2 arrived already running in more than two dozen products — and its lead product manager walks through what that actually took.
6:28ENA Historical GPT-3.5 Fine-Tuning WalkthroughMatthew Berman · Forward FutureMatthew Berman demonstrates generating synthetic examples in Colab and training a model to use a distinctive tone.
52:48ENCris Valenzuela on Creative AI, Runway and Building Through Change게스트 Cris Valenzuela · 진행자 Harry StebbingsRunway’s co-founder discusses early experimentation with video models, creative work, hiring and fundraising, and answers questions about the writers’ strike.
56:44ENHowie Liu on Airtable’s Enterprise Strategy and AI Adoption게스트 Howie Liu · 진행자 Harry StebbingsThe Airtable founder discusses product-led growth, enterprise buying, AI implementation and the work that follows product-market fit.
16:22ENAI News in August 2023: Models, Copyright Disputes and the Business of AIMatthew Berman · Forward FutureMatthew Berman reviews a week of AI releases and legal battles, from Python in Excel and Meta's translation model to copyright and personalized feeds.
52:48ENOpenAI Cut Fine-Tuning 90 Percent, and Founders Crossed Llama 2 Off the List진행자 Nathan LabenzNathan Labenz and Erik Torenberg walk through GPT-3.5 Turbo fine-tuning, why self-hosting still loses on total cost, and what is actually working in code, school, and medicine.
35:24ENThe Author of Attention Is All You Need Now Compiles mRNA Like Bytecode진행자 Sarah Guo, Elad GilJakob Uszkoreit on why Transformers won, why models spend compute on the wrong things, and why drug discovery has to become generation rather than screening.
15:49ENMatthew Berman on AI Adoption, Hype and the Case for CautionMatthew Berman · Forward FutureA 2023 response to a skeptical assessment of ChatGPT and Bing weighs early usage patterns, creative work and AI risks.
3:23ENLori Jiménez on Listening, Sales Leadership and Retention게스트 Lori Jiménez · 진행자 Harry StebbingsA quickfire discussion of hiring expectations, remote selling and customer success.
1:12:29ENJason Lemkin and Rick Zullo Debate Venture Fund Size, Paper Marks and Founder Relationships게스트 Jason Lemkin, Rick Zullo · 진행자 Harry StebbingsThe investors disagree over pitching and portfolio construction while examining how fund economics shape founders, boards and returns.
24:40ENTim Urban on Curiosity, Research and the Writing Process게스트 Tim Urban · 진행자 Harry StebbingsThe Wait But Why writer explains how he chooses questions, learns unfamiliar subjects and turns research into stories for curious readers.
1:04:28ENNick Huber on Delegation, Wealth and Building a Balanced Life게스트 Nick Huber · 진행자 Harry StebbingsThe entrepreneur discusses managing people, the pressures of an online brand, family choices and his views on wealth and entrepreneurship.
14:03ENAI News in August 2023: CAPTCHAs, LK-99, Medical Models and Generative AgentsMatthew Berman · Forward FutureMatthew Berman surveys a week of AI and technology stories, from automated CAPTCHA solving and robot prices to clinical research, content moderation and model safety.
58:04ENRichard Socher on Language Models, Search and the Limits of AGI Predictions게스트 Richard Socher · 진행자 Harry StebbingsThe You.com founder discusses unified models, factual retrieval, competition in search and why rapid AI progress does not settle the future.
2:12:22ENIf It Is Not a Hundred Percent, It Is Not Happening: Huberman on Loyalty, Covert Contracts, and Love게스트 Andrew Huberman · 진행자 Lex FridmanOn Lex Fridman's birthday, Andrew Huberman flew to Austin for dinner, talked into the night, and they recorded a last-minute podcast about the body, the shadow, betrayal, sex, and peace.
1:00:02EN98% of Users Froze on a Blank Page. Then Gamma Let AI Finish 90% of the Deck진행자 Nathan LabenzJon Noronha on building the anti-PowerPoint, coaxing models to write HTML, and why incumbents will let startups prove the pattern first.
13:19ENTesting WizardLM 70B: Setup, Coding and Reasoning ResultsMatthew Berman · Forward FutureMatthew Berman runs a quantized Llama 2-based model through an informal collection of coding, writing, arithmetic and logic prompts.
47:42ENSal Khan Thinks Every Child Can Finally Have a Tutor진행자 Sarah Guo, Elad GilThe Khan Academy founder tells Sarah Guo and Elad Gil how a family tutoring side project became an AI teaching assistant, and why he believes education is on the cusp of its biggest positive shift.
1:10:10ENBrian Balfour on Growth Loops, Channel Fit and Building a Repeatable Growth System게스트 Brian Balfour · 진행자 Harry StebbingsThe Reforge founder and former HubSpot growth leader explains how to identify constraints, choose channels and avoid mistaking attention for sustainable growth.
1:23:40ENA $9 Tutor That Refuses to Give the Answer진행자 Nathan LabenzHow Khan Academy spent five months of GPT-4 early access building Khanmigo, a Socratic tutor shipped on the model's launch day.
1:02:17ENPeter Bogart-Johnson on Product Management, Poetry and ListeningYaron Minsky, Peter Bogart-Johnson · Jane StreetA poet and program manager explains how to earn a team’s trust, preserve what works and coordinate change without separating engineers from their users.
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