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39:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 2월 29일팟캐스트 · 2명MI300 Leads Inference by 2x: AMD's CTO on Winning Chip Competition Without a Walled Garden진행자 Sarah Guo, Elad GilWhen Mark Papermaster became AMD's CTO in fall 2011, nearly all of the company's revenue sat on PCs and gaming, Moore's Law was slowing, and everyone knew it needed a turnaround.인프라와 배포InferenceAI cost & performance+3
슬라이드 8장13:19EN
Matthew Berman· 2024년 1월 18일Running a Local Language Model as an Offline BackupMatthew Berman · Forward FutureMatthew Berman demonstrates a 2024 local-model setup, from selecting a quantized model and storing it on an external drive to planning backup power.Local inferenceFoundation Models인프라와 배포+1
3:37EN
Matthew Berman· 2024년 1월 18일Mark Zuckerberg Announces Llama 3 Training and Meta’s AI PlansMatthew Berman, Mark Zuckerberg · Forward FutureIn January 2024, Matthew Berman reacts to Zuckerberg’s remarks on general intelligence, compute and AI devices.Open-weight modelsAI History인프라와 배포+1
39:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 12월 14일팟캐스트 · 2명The Most Underestimated AI Buyer Is the Shop on the Corner진행자 Sarah Guo, Elad GilFormer Square CEO Alyssa Henry tells No Priors that generative AI is unlocking work small merchants always needed and never paid anyone to do.기업과 전략Product StrategyAI Adoption+3
55:34EN
Jane Street· 2023년 11월 29일Andrew Hunter on Performance Engineering for Low-Latency SystemsYaron Minsky, Andrew Hunter · Jane StreetWhy small optimizations pay at hyperscale, why trading latency is harder to measure, and how profiling, tracing, language design and hardware fit together.Software engineering관측 가능성과 안정성Programming Languages+2
슬라이드 4장17:43EN
Matthew Berman· 2023년 11월 6일OpenAI DevDay 2023: GPT-4 Turbo, Custom GPTs and Developer ToolsMatthew Berman, Sam Altman, Satya Nadella · Forward FutureMatthew Berman reviews OpenAI’s 2023 announcements, from longer context and cheaper API calls to custom GPTs and their implications for developers.OpenAI인프라와 배포에이전트 엔지니어링+2
1:19:52EN
Cognitive Revolution "How AI Changes Everything"· 2023년 10월 18일팟캐스트1,000 H100s Take 115 Days; 22,000 Take Five진행자 Nathan LabenzNathan Labenz and Trey Kollmer walk through cluster math that turns GPT-4-scale training into a weekly experiment, then four papers on search-augmented models, recursive code improvers, spatial maps inside Llama 2, and what networks do when they have no idea.모델과 학습AI researchModel Interpretability+3
슬라이드 4장7:02EN
Matthew Berman· 2023년 10월 18일Connecting AutoGen to a RunPod-Hosted Model with Text Generation WebUIMatthew Berman · Forward FutureIn a 2023 walkthrough, Matthew Berman connects AutoGen to Dolphin 2.1 Mistral 7B through an OpenAI-compatible API and tests a small coding task.에이전트 엔지니어링Open-weight modelsMulti-agent systems+2
슬라이드 3장4:42EN
Matthew Berman· 2023년 10월 17일Connecting AutoGen to a Local Model With LM StudioMatthew Berman · Forward FutureMatthew Berman demonstrates an early local-model setup and explains where agent behavior still needs work.에이전트Open-weight models인프라와 배포
30:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 9월 7일팟캐스트 · 2명A Dinner-Plate Chip Cut Training From 60 Days to 3.5진행자 Sarah Guo, Elad GilCerebras CEO Andrew Feldman tells No Priors why wafer-scale silicon, not another GPU, is the answer to the compute crunch — and why most production models will stay at 13 billion parameters or below.인프라와 배포InferenceAI cost & performance+3
슬라이드 4장4:35EN
Matthew Berman· 2023년 9월 5일Running WizardCoder on a Cloud GPU: A 2023 RunPod WalkthroughMatthew Berman · Forward FutureMatthew Berman demonstrates downloading a quantized 13B coding model into a hosted text-generation interface, then explains how to stop the pod and avoid ongoing charges.모델과 학습인프라와 배포코딩 에이전트
38:13EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 8월 31일팟캐스트 · 2명ChatGPT Runs on His Framework. He Still Doesn't Want You Training a Model진행자 Sarah Guo, Elad GilVercel founder Guillermo Rauch tells No Priors why frontend is the last mile of AI, why first-generation AI frameworks will be rewritten, and why bots are already stealing your tokens.인프라와 배포개발 워크플로와 테스트관측 가능성과 안정성+3
1:01:26EN
Cognitive Revolution "How AI Changes Everything"· 2023년 7월 25일팟캐스트AlexNet Used Two GPUs. GPT-4 Took Twenty Thousand. The Shortage Will Be Back.진행자 Nathan LabenzRun:ai CTO Ronen Dar on filling idle accelerators, why H100s can be cheaper per experiment, and why Llama 2 undercuts compute governance.인프라와 배포AI cost & performanceDistributed training & inference+3
3:08:46EN
Lex Fridman· 2023년 6월 29일팟캐스트 · 2명Who owns the off switch? George Hotz on tinygrad, open-source AI, and God게스트 George Hotz · 진행자 Lex FridmanOn his third Lex Fridman podcast, the comma.ai and tiny corp founder argues that compute, intelligence, and the off switch should live in people's houses, not in a trusted few.오픈소스와 커뮤니티인프라와 배포Open-source ecosystems+3
슬라이드 3장8:17EN
Matthew Berman· 2023년 6월 22일Using OpenLLM to Serve Open Models Through an APIMatthew Berman · Forward FutureMatthew Berman demonstrates a local model server, its interactive API and a Python client in a 2023 walkthrough.Open-weight modelsInference인프라와 배포+1
슬라이드 5장9:46EN
Matthew Berman· 2023년 6월 19일Installing Text Generation WebUI on Windows: A 2023 Local-Model WalkthroughMatthew Berman · Forward FutureMatthew Berman installs an early version of Text Generation WebUI, resolves setup errors and explains model downloads and interface settings. The steps and packages are historical; consult the project’s current documentation for a modern installation.Local inferenceOpen-weight models인프라와 배포+1
3:34:03EN
Lex Fridman· 2023년 6월 2일팟캐스트 · 2명Python Isn't Finished: Chris Lattner on Mojo and the Hardware Mess게스트 Chris Lattner · 진행자 Lex FridmanThe LLVM creator returns to Lex Fridman to argue that Python should grow C-like performance instead of forcing people out of the language.인프라와 배포AI platform engineeringSoftware engineering+3
슬라이드 6장11:49EN
Matthew Berman· 2023년 6월 1일Testing Wizard-Vicuna 30B: Responses, Reasoning, and CodeMatthew Berman · Forward FutureMatthew Berman examines a model marketed as uncensored, demonstrates a 2023 cloud setup, and runs an informal collection of tests.모델과 학습평가(Evals)AI Safety+1
슬라이드 2장7:51EN
Matthew Berman· 2023년 5월 30일Running Guanaco 65B on a Cloud GPU with Runpod and Text Generation Web UIMatthew Berman · Forward FutureMatthew Berman demonstrates a 2023 workflow for renting a GPU, loading a quantized model and generating text. Model requirements, pricing and interfaces depend on the chosen version.Local inference인프라와 배포Open-weight models+2
1:20:49EN
Cognitive Revolution "How AI Changes Everything"· 2023년 5월 25일팟캐스트A Wafer-Scale Chip So AI Stops Waiting on Amdahl진행자 Nathan LabenzAndrew Feldman, CEO of Cerebras, tells Nathan Labenz why one 2.5-trillion-transistor die, sparse linear algebra, and a 16-machine supercomputer are a better shape than a GPU cluster.인프라와 배포InferenceAI cost & performance+3
54:56EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 5월 24일팟캐스트 · 2명Kevin Scott Seized Microsoft's GPU Budget, Bet on OpenAI, and Still Didn't See ChatGPT Coming진행자 Sarah Guo, Elad GilFive months after ChatGPT launched, Microsoft's CTO walked No Priors through the all-in bet, the Copilot stack, and why he is still bullish on jobs.기업과 전략AI Strategy엔터프라이즈 AI+3
6:42EN
Jane Street· 2023년 5월 23일Ezio on Linux Engineering and Collaboration at Jane StreetEzio · Jane StreetA London engineer explains his team’s infrastructure work, the Pride community group and why new hires should ask questions.인프라와 배포Company CultureCareers+1
3:03EN
Jane Street· 2023년 5월 10일Rajan on IT, Collaboration and Learning at Jane StreetRajan · Jane StreetRajan describes the IT team's role supporting critical systems and the problem-solving skills he brought from studying chemistry.CareersCompany Culture인프라와 배포
52:11EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 4월 20일팟캐스트 · 2명Jensen Huang: For 25 Years, 99 Percent Were Right. NVIDIA Bet on the 1 Percent진행자 Sarah Guo, Elad GilThe NVIDIA CEO tells No Priors how CUDA survived a decade without customers, why the company tries to stay lazy, and what he wants built for drugs and climate.인프라와 배포GPU programming & kernelsAI platform engineering+3
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