최근 업데이트된 채널

선택하면 해당 채널만 표시모든 채널 보기 →

필터 결과

134개
정렬
1:01:53EN
Cognitive Revolution "How AI Changes Everything"· 2024년 2월 13일팟캐스트Companion Apps Open Twice as Often as TikTok. a16z Only Funds Weird but Working진행자 Nathan Labenza16z consumer partners Anish Acharya and Justine Moore walk Nathan Labenz through their Abundance Agenda for AI-native consumer apps.제품과 UXAI startups & small teamsProduct Strategy+3
슬라이드 5장11:14EN
Matthew Berman· 2024년 2월 8일Gemini Advanced and Ultra 1.0: A First Look and Hands-On TestMatthew Berman · Forward FutureIn February 2024, Matthew Berman reviews Google’s Bard rebrand and tests its new paid Gemini experience on coding, logic and image recognition.GeminiFoundation Models코딩 에이전트+2
슬라이드 2장0:42EN
Matthew Berman· 2024년 1월 31일LLaVA 1.6 Adds Higher-Resolution Image UnderstandingMatthew Berman · Forward FutureMatthew Berman reviews the January 2024 release of LLaVA 1.6 and its local availability through Ollama.Multimodal AI모델과 학습Local inference+1
1:21:28EN
Cognitive Revolution "How AI Changes Everything"· 2024년 1월 26일팟캐스트The Prompt Is a Bug: Suhail Doshi’s Bet on Control Over Pixels진행자 Nathan LabenzThe Mixpanel founder tells Nathan Labenz how a cloud browser, a canceled tweet, and a Thursday weight drop shaped Playground AI’s bet on images.멀티모달과 미디어Generative media비전과 영상+3
슬라이드 2장35:22EN
Matthew Berman· 2024년 1월 3일Matthew Berman’s Ten AI Predictions for 2024Matthew Berman, Mark Zuckerberg, Lex Fridman, Jaron Lanier, Joon Park, Elon Musk · Forward FutureAn early-2024 forecast covers model releases, robotics, agents, synthetic data and the risks of increasingly convincing bots.AI researchOpen-weight modelsRobotics+2
1:17:20EN
Cognitive Revolution "How AI Changes Everything"· 2023년 12월 9일팟캐스트Hume wants well-being in the objective function, measured 53 emotions at a time진행자 Nathan LabenzAlan Cowen tells Nathan Labenz how Hume AI reads face, voice, and language, sells custom models at $1.66 an hour, and wants long-horizon well-being to override every other AI goal.멀티모달과 미디어Multimodal AI음성 AI+3
슬라이드 10장26:52EN
Matthew Berman· 2023년 12월 7일Google’s Gemini Launch: Multimodal Demos, Benchmarks and Research ApplicationsMatthew Berman · Forward FutureMatthew Berman reviews Google’s December 2023 Gemini report and promotional demonstrations, from visual reasoning to scientific literature screening.GeminiMultimodal AIBenchmarks+2
슬라이드6:57EN
Matthew Berman· 2023년 11월 22일A Camera Narrator Using GPT-4 Vision and ElevenLabsMatthew Berman · Forward FutureMatthew Berman demonstrates a 2023 project that turns webcam frames into spoken nature-documentary-style narration.음성 AIMultimodal AI비전과 영상
1:19:24EN
Cognitive Revolution "How AI Changes Everything"· 2023년 11월 17일팟캐스트A Toy Paper Did Not Prove LLMs Cannot Generalize. The Discourse Still Ran With It.진행자 Nathan LabenzNathan Labenz and Erik Torenberg unpack a viral DeepMind result, a weekend reproduction, and a premature war over voluntary AI commitments.모델과 학습AI research머신러닝 기초+3
1:36:39EN
Cognitive Revolution "How AI Changes Everything"· 2023년 11월 9일팟캐스트OpenAI’s $5 Million Bet: A 60-Person Team Wants GPT-4V to Give Cars Common Sense진행자 Nathan LabenzGhost Autonomy cofounder John Hayes tells Cognitive Revolution why a multimodal model on the driving path could reset self-driving after two decades of DARPA-era stacks.에이전트Autonomous DrivingMultimodal AI+3
1:14:48EN
Cognitive Revolution "How AI Changes Everything"· 2023년 11월 8일팟캐스트DevDay Probably Created Thousands of Startups, Says OpenAI's Logan Kilpatrick진행자 Nathan LabenzThe day after OpenAI's first developer conference, Dev Relations lead Logan Kilpatrick tells Nathan Labenz why thin wrappers were never companies, why agents were deliberately not shipped fully autonomous, and what $2 million custom models are for.기업과 전략Product Strategy에이전트 엔지니어링+3
1:32:40EN
Cognitive Revolution "How AI Changes Everything"· 2023년 10월 31일팟캐스트The Historian Who Taught GPT-3.5 to Beat GPT-4진행자 Nathan LabenzMark Humphries on a kilometer of unread paper, fur-trade jargon that embeddings cannot see, and why cheap processing will force history to be rewritten.RAG와 지식검색 증강 생성(RAG)파인튜닝+3
슬라이드 2장8:26EN
Matthew Berman· 2023년 10월 12일Installing LLaVA on a GPU Server: Matthew Berman’s 2023 WalkthroughMatthew Berman · Matthew BermanA historical walkthrough of a LLaVA setup on RunPod, from GPU configuration to image-questioning examples and an observed repetition error.Multimodal AIOpen Source인프라와 배포+1
슬라이드 7장9:21EN
Matthew Berman· 2023년 10월 9일DALL·E 3 in Bing and ChatGPT: A 2023 WalkthroughMatthew Berman · Forward FutureMatthew Berman tries DALL·E 3 in two interfaces and compares logo lettering and image styles with Leonardo.ai, documenting both promising results and service delays.Generative mediaMultimodal AIPrompting & in-context learning+1
슬라이드 6장18:23EN
Matthew Berman· 2023년 10월 2일Early ChatGPT Vision Examples: From Diagrams to Code and Visual MistakesMatthew Berman · Forward FutureMatthew Berman surveys 2023 image-input demonstrations, including education, design and programming, and examines examples that were not verified or got details wrong.Computer VisionMultimodal AIEducation+2
2:17:30EN
Cognitive Revolution "How AI Changes Everything"· 2023년 9월 29일팟캐스트Gemini Became the Daily Driver. A GPT-5 Worthy of the Name Would Make Agents Work.진행자 Nathan LabenzZvi Mowshowitz returns to Cognitive Revolution to unpack Gemini 1.5, Sora, superalignment, sleeper agents, and the live-player map of frontier labs.기업과 전략AI StrategyProduct Strategy+3
슬라이드 4장20:26EN
Matthew Berman· 2023년 9월 29일AI News in September 2023: ChatGPT Vision, Meta AI and Mistral 7BMatthew Berman · Forward FutureMatthew Berman reviews a busy week of AI launches, robotics demos and investment announcements, along with emerging questions about privacy and security.AI HistoryOpenAIMultimodal AI+2
1:04:38EN
Lex Fridman· 2023년 9월 28일팟캐스트 · 2명Hundreds of Miles Apart, Zuckerberg and Fridman Sat Close Enough to See the Wrinkles게스트 Mark Zuckerberg · 진행자 Lex FridmanLex Fridman sat in a dark room in Austin wearing a Quest headset; Mark Zuckerberg sat in another conference room, also wearing one, and it did not feel like a video call.멀티모달과 미디어Product StrategyHuman-AI Collaboration+3
55:08EN
Cognitive Revolution "How AI Changes Everything"· 2023년 8월 29일팟캐스트One 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.모델과 학습Multimodal AI평가(Evals)+3
39:02EN
Cognitive Revolution "How AI Changes Everything"· 2023년 8월 10일팟캐스트AI’s product advantage is consistency. Its real weakness is getting conned.진행자 Nathan LabenzNathan Labenz updates the Cognitive Revolution scouting report: jailbreaks, resume automation, Med-PaLM’s 40% radiology win, and what might follow Transformers.기업과 전략Multimodal AIAI in healthcare+3
39:50EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 7월 20일팟캐스트 · 2명Why AI Video Is Still a Four-Second Corgi진행자 Sarah Guo, Elad GilMeta research director Devi Parikh explains why text-to-video has stalled on short animated images, and what it will take to get past that plateau.멀티모달과 미디어Generative media비전과 영상+3
1:32:22EN
Cognitive Revolution "How AI Changes Everything"· 2023년 6월 29일팟캐스트A Million Bytes and 256 Symbols: Meta's MEGABYTE Wants to Throw the Tokenizer Away진행자 Nathan LabenzLili Yu of Meta AI explains a multiscale transformer that predicts million-byte sequences, skips tokenization, and aims to model any file as raw bytes.모델과 학습Multimodal AITransformers & attention+3
1:18:18EN
Cognitive Revolution "How AI Changes Everything"· 2023년 6월 20일팟캐스트Fifteen Thousand Brain Numbers Were Enough to Reconstruct What Someone Saw진행자 Nathan LabenzTanishq Mathew Abraham walks through MindEye, the fMRI-to-image system that maps a handful of voxel values onto CLIP and diffusion models.멀티모달과 미디어Neuroscience & AIMultimodal AI+3
1:25:35EN
Cognitive Revolution "How AI Changes Everything"· 2023년 5월 21일팟캐스트Two and a Half Years From 33.3% to 86.5%: Google Sent Foundation Models to Medical School진행자 Nathan LabenzVivek Natarajan walks Nathan Labenz through Med-PaLM and Med-PaLM 2: the data-light techniques, the nine-axis clinician evals, and why a high USMLE-style score is the wrong trophy.모델과 학습AI in healthcare파인튜닝+3
더 보기134개 중 24개 표시