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27:37EN
Matthew Berman· 2024년 6월 17일Leo Pekelis on Extending Llama 3 to a Million-Token ContextMatthew Berman, Leo Pekelis · Forward FutureGradient’s chief scientist explains long-context training, coding use cases, inference costs and why retrieval benchmarks tell only part of the story.컨텍스트 엔지니어링모델과 학습Inference+2
슬라이드 6장17:03EN
Matthew Berman· 2024년 6월 8일Qwen2 0.5B and 72B: A Hands-On ComparisonMatthew Berman · Forward FutureMatthew Berman tests coding, arithmetic and reasoning prompts on the smallest and largest Qwen2 models in a 2024 demonstration.Open-weight modelsBenchmarksLocal inference+2
슬라이드 4장25:00EN
Matthew Berman· 2024년 5월 23일Microsoft Build 2024: Copilot+ PCs, Phi-3 and AI DemosMatthew Berman, Satya Nadella, Sam Altman, Seth Juarez · Forward FutureMatthew Berman reviews selected Microsoft keynote announcements, product demonstrations and a conversation with Sam Altman.AI platform engineeringLocal inferenceMultimodal AI+2
슬라이드 6장20:00EN
Matthew Berman· 2024년 5월 7일GitHub Copilot Workspace, Amazon Q and Sam Altman on AI’s Next StepsMatthew Berman, Sam Altman · Forward FutureA May 2024 roundup examines task-centered coding assistants, Rabbit R1, AI infrastructure, generated video and voice cloning.코딩 에이전트개발 워크플로와 테스트엔터프라이즈 AI+2
29:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 5월 2일팟캐스트 · 2명Devin Will Not Replace Engineers. It Will Multiply Them, Says Cognition’s Scott Wu진행자 Sarah Guo, Elad GilThe IOI champion behind Devin explains why an AI software engineer that you can watch over the shoulder creates more human engineers, not fewer.코딩 에이전트에이전트 엔지니어링Developer productivity+3
슬라이드 4장17:12EN
Matthew Berman· 2024년 4월 30일Testing the Mystery 'gpt2-chatbot' Model in April 2024Matthew Berman · Forward FutureMatthew Berman tries an anonymous model on coding, arithmetic and reasoning tasks while its identity remains uncertain.Benchmarks모델과 학습코딩 에이전트+1
슬라이드 5장12:51EN
Matthew Berman· 2024년 4월 21일Llama 3 70B on Groq: Fast Inference and an Informal Prompt TestMatthew Berman · Forward FutureMatthew Berman tests coding, reasoning and repeated prompts on Groq’s April 2024 Llama 3 service, with mixed results and several scoring caveats.Open-weight modelsInference평가(Evals)+2
슬라이드 7장12:02EN
Matthew Berman· 2024년 4월 13일Testing Karasu Mixtral 8x22B on Coding and Reasoning TasksMatthew Berman · Forward FutureMatthew Berman tries an early community fine-tune of Mistral's large mixture-of-experts model on a Snake game, arithmetic and logic puzzles.Open-weight models모델과 학습평가(Evals)+1
슬라이드 7장13:59EN
Matthew Berman· 2024년 4월 5일SWE-agent Tutorial: Navigating Repositories and Attempting GitHub FixesMatthew Berman, Carlos · Forward FutureMatthew Berman sets up a research coding agent, hits an installation problem and a cost limit, then shows an author’s successful SymPy benchmark example.코딩 에이전트에이전트 엔지니어링개발 워크플로와 테스트+2
1:25:10EN
Cognitive Revolution "How AI Changes Everything"· 2024년 3월 12일팟캐스트Writing Code Is Only 30% of the Job. CodiumAI Wants the Other 70%진행자 Nathan LabenzItamar Friedman argues that completion is already a commodity, that code integrity is where AI still lags, and that flow engineering—not fancier prompts—is how GPT-4 doubled its score on coding contests.코딩 에이전트개발 워크플로와 테스트Code review & verification+3
슬라이드 5장13:57EN
Matthew Berman· 2024년 2월 27일Mistral Large: A 2024 Review of Coding, Reasoning and Safety ResponsesMatthew Berman · Forward FutureMatthew Berman reviews Mistral’s launch claims and tests the model with a small set of prompts.모델과 학습BenchmarksAI Safety+1
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
46:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 1월 18일팟캐스트 · 2명After a decade of code search, Sourcegraph’s CTO says the coding-AI fight is outside the model진행자 Sarah Guo, Elad GilBeyang Liu on Cody, why keyword search still does most of RAG, and why CS fundamentals get more valuable as AI compresses the middleware.코딩 에이전트검색 증강 생성(RAG)컨텍스트 엔지니어링+3
슬라이드 5장24:54EN
Matthew Berman· 2023년 12월 22일Matthew Berman's 2023 Prediction for AI and the Future of ProgrammingMatthew Berman, Matt Welsh, McKay Wrigley · Forward FutureBerman argues that natural-language interfaces and AI agents could transform software development, while acknowledging the limits of coding tools and his uncertain timeline.Software engineering코딩 에이전트Human-AI Collaboration+2
1:22:59EN
Cognitive Revolution "How AI Changes Everything"· 2023년 12월 2일팟캐스트If Your Agent Is Right 80% of the Time, Ten Steps Leave You With 10%진행자 Nathan LabenzImbue CTO Josh Albrecht tells Nathan Labenz how a 27-person, pre-product research company is putting $200 million and 10,000 H100s toward agents that can actually finish a long job.에이전트에이전트 엔지니어링Reasoning & test-time compute+3
1:15:39EN
Cognitive Revolution "How AI Changes Everything"· 2023년 11월 29일팟캐스트After 20 Years of Frontend, v0 Wrote Better Code Than Guillermo Rauch Did진행자 Nathan LabenzThe Vercel CEO tells Nathan Labenz why every product needs ghost text, why Software 2.0 will ossify the old stack, and why betting against open source is still the expensive mistake.코딩 에이전트Vibe Coding개발 워크플로와 테스트+3
슬라이드 4장7:48EN
Matthew Berman· 2023년 11월 26일Testing Dolphin 2.2 Yi 34B on Coding and Reasoning TasksMatthew Berman · Forward FutureMatthew Berman runs a quantized Yi fine-tune through informal coding, writing and logic prompts in November 2023, with uneven results.Open-weight modelsFoundation ModelsBenchmarks+2
32:48EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 11월 16일팟캐스트 · 2명Fourteen People, $200 Million of Compute, and the Reliability Bottleneck for Agents진행자 Sarah Guo, Elad GilImbue co-founders Kanjun Qiu and Josh Albrecht on why agents fail, why language models cannot learn general algorithms, and why they are spending a giant round on GPUs rather than headcount.에이전트코딩 에이전트에이전트 엔지니어링+3
슬라이드 3장5:31EN
Matthew Berman· 2023년 10월 30일Connecting MemGPT to AutoGen AgentsMatthew Berman · Forward FutureIn a 2023 tutorial, Matthew Berman configures a MemGPT-backed coding agent alongside an AutoGen product manager and runs a short group chat.Agent memoryMulti-agent systems코딩 에이전트
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 5장15:03EN
Matthew Berman· 2023년 10월 10일A 2023 AutoGen Tutorial: Local Agent Setup and Code ExecutionMatthew Berman · Forward FutureMatthew Berman builds a local assistant and user-proxy workflow, then tests how the agents generate and run Python. AutoGen’s packages and APIs have changed since this tutorial.Multi-agent systems에이전트 엔지니어링코딩 에이전트+2
1:32:41EN
Cognitive Revolution "How AI Changes Everything"· 2023년 10월 5일팟캐스트There are maybe 5,000 people who can train frontier models. The rest need AI engineers진행자 Nathan LabenzSwyx of Latent Space tells Nathan Labenz how a new job is forming, why OpenAI will Sherlock its developers, and what still does not count as an agent.기업과 전략에이전트 엔지니어링코딩 에이전트+3
슬라이드 3장7:32EN
Matthew Berman· 2023년 10월 4일MageGPT Generates a Wasp To-Do App: A 2023 DemonstrationMatthew Berman · Forward FutureMatthew Berman uses a Wasp-sponsored app generator to build, run and deploy a basic full-stack to-do app.코딩 에이전트Software engineering개발 워크플로와 테스트
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
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