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241 件
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55:34EN
Jane Street· 2023年11月29日Andrew 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 engineeringオブザーバビリティと信頼性Programming Languages+2
スライド 4 枚17:43EN
Matthew Berman· 2023年11月6日OpenAI 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.OpenAIインフラとデプロイエージェント工学+2
1:19:52EN
Cognitive Revolution "How AI Changes Everything"· 2023年10月18日ポッドキャスト1,000 H100s Take 115 Days; 22,000 Take Fiveホスト 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.モデルと学習AI researchModel Interpretability+3
スライド 4 枚7:02EN
Matthew Berman· 2023年10月18日Connecting 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.エージェント工学Open-weight modelsMulti-agent systems+2
スライド 3 枚4:42EN
Matthew Berman· 2023年10月17日Connecting 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.エージェントOpen-weight modelsインフラとデプロイ
30:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年9月7日ポッドキャスト · 2 人A Dinner-Plate Chip Cut Training From 60 Days to 3.5ホスト 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.インフラとデプロイInferenceAI cost & performance+3
スライド 4 枚4:35EN
Matthew Berman· 2023年9月5日Running 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.モデルと学習インフラとデプロイコーディングエージェント
38:13EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年8月31日ポッドキャスト · 2 人ChatGPT Runs on His Framework. He Still Doesn't Want You Training a Modelホスト 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.インフラとデプロイ開発ワークフローとテストオブザーバビリティと信頼性+3
1:01:26EN
Cognitive Revolution "How AI Changes Everything"· 2023年7月25日ポッドキャストAlexNet Used Two GPUs. GPT-4 Took Twenty Thousand. The Shortage Will Be Back.ホスト Nathan LabenzRun:ai CTO Ronen Dar on filling idle accelerators, why H100s can be cheaper per experiment, and why Llama 2 undercuts compute governance.インフラとデプロイAI cost & performanceDistributed training & inference+3
3:08:46EN
Lex Fridman· 2023年6月29日ポッドキャスト · 2 人Who owns the off switch? George Hotz on tinygrad, open-source AI, and Godゲスト George Hotz · ホスト 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.オープンソースとコミュニティインフラとデプロイOpen-source ecosystems+3
スライド 3 枚8:17EN
Matthew Berman· 2023年6月22日Using 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 modelsInferenceインフラとデプロイ+1
スライド 5 枚9:46EN
Matthew Berman· 2023年6月19日Installing 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 modelsインフラとデプロイ+1
3:34:03EN
Lex Fridman· 2023年6月2日ポッドキャスト · 2 人Python Isn't Finished: Chris Lattner on Mojo and the Hardware Messゲスト Chris Lattner · ホスト 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.インフラとデプロイAI platform engineeringSoftware engineering+3
スライド 6 枚11:49EN
Matthew Berman· 2023年6月1日Testing 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.モデルと学習評価(Evals)AI Safety+1
スライド 2 枚7:51EN
Matthew Berman· 2023年5月30日Running 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 inferenceインフラとデプロイOpen-weight models+2
1:20:49EN
Cognitive Revolution "How AI Changes Everything"· 2023年5月25日ポッドキャストA Wafer-Scale Chip So AI Stops Waiting on Amdahlホスト 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.インフラとデプロイInferenceAI cost & performance+3
54:56EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年5月24日ポッドキャスト · 2 人Kevin Scott Seized Microsoft's GPU Budget, Bet on OpenAI, and Still Didn't See ChatGPT Comingホスト 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.企業と戦略AI Strategyエンタープライズ AI+3
6:42EN
Jane Street· 2023年5月23日Ezio 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.インフラとデプロイCompany CultureCareers+1
3:03EN
Jane Street· 2023年5月10日Rajan 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 Cultureインフラとデプロイ
52:11EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年4月20日ポッドキャスト · 2 人Jensen Huang: For 25 Years, 99 Percent Were Right. NVIDIA Bet on the 1 Percentホスト 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.インフラとデプロイGPU programming & kernelsAI platform engineering+3
スライド 5 枚8:05EN
Matthew Berman· 2023年3月29日A 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.Open-weight modelsモデルと学習インフラとデプロイ
37:26EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年2月23日ポッドキャスト · 2 人Without Open Source, Machine Learning Would Be Decades Behindホスト 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.オープンソースとコミュニティOpen-source ecosystemsOpen-weight models+3
1:00:28EN
Jane Street· 2022年9月12日Ella 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.Software engineeringインフラとデプロイオブザーバビリティと信頼性+1
1:09:10EN
Lex Fridman· 2022年4月27日ポッドキャスト · 2 人The Same Snapdragon That Flies on Mars Powers a Galaxy Phoneゲスト Cristiano Amon · ホスト 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.インフラとデプロイSemiconductorsProduct Strategy+3
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