필터 결과
241개정렬
4:42ENConnecting 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.
30:03ENA 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.
4:35ENRunning 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.
38:13ENChatGPT 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.
1:01:26ENAlexNet 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.
3:08:46ENWho 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.
8:17ENUsing 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.
9:46ENInstalling 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.
3:34:03ENPython 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.
11:49ENTesting 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.
7:51ENRunning 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.
1:20:49ENA 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.
54:56ENKevin 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.
6:42ENEzio 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.
3:03ENRajan 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.
52:11ENJensen 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.
8:05ENA 2023 Guide to Running the Original GPT4All Model LocallyMatthew Berman · Forward FutureMatthew Berman demonstrates an early CPU-based GPT4All release, its terminal installation and the resources available for fine-tuning.
37:26ENWithout Open Source, Machine Learning Would Be Decades Behind진행자 Sarah Guo, Elad GilHugging Face CEO Clem Delangue on the Tamagotchi pivot, why the company never hired a community manager, and why he does not believe one model will rule them all.
1:00:28ENElla Ehrlich on Modernizing a Critical Trading SystemYaron Minsky, Ella Ehrlich · Jane StreetJane Street’s Gord team rebuilt parts of a legacy data pipeline while preserving availability, and Ehrlich describes the recruiting programs she helped develop.
1:09:10ENThe Same Snapdragon That Flies on Mars Powers a Galaxy Phone게스트 Cristiano Amon · 진행자 Lex FridmanQualcomm CEO Cristiano Amon talks with Lex Fridman about 5G, Snapdragon, cars, the chip shortage, and how to map the border of your own competence.
1:12:09ENDoug Patti on State Machine Replication at Jane StreetYaron Minsky, Doug Patti · Jane StreetHow Concord and Aria use ordered logs and deterministic state machines to build recoverable trading services.
3:02:00ENVitalik Buterin Walked Away From Billions of Dog Coins — Then Mapped Ethereum's Next Decade게스트 Vitalik Buterin · 진행자 Lex FridmanIn a three-hour conversation with Lex Fridman, the Ethereum co-founder explains the Shiba Inu dump, proof of stake, rollups, and why he thinks most evil comes from fear.
2:39:15ENCraftsmanship, Graphs and Consciousness: Jim Keller on Building Computers That Think게스트 Jim Keller · 진행자 Lex FridmanLegendary chip architect Jim Keller talks with Lex Fridman about design philosophy, the future of AI hardware, the human mind and how to live well.
2:46:57ENProgramming Languages Are Bicycles for the Mind게스트 Chris Lattner · 진행자 Lex FridmanChris Lattner talks with Lex Fridman about Swift, LLVM, RISC-V, and why the next leap in computing is as much a language problem as a silicon one.
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