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4 diapositivas17:12EN
Matthew Berman· 30 abr 2024Testing 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.BenchmarksModelos y entrenamientoAgentes de programación+1
5 diapositivas12:51EN
Matthew Berman· 21 abr 2024Llama 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 modelsInferenceEvaluaciones+2
7 diapositivas13:59EN
Matthew Berman· 5 abr 2024SWE-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.Agentes de programaciónIngeniería de agentesFlujos de desarrollo y pruebas+2
1:25:10EN
Cognitive Revolution "How AI Changes Everything"· 12 mar 2024PódcastWriting Code Is Only 30% of the Job. CodiumAI Wants the Other 70%Presenta: 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.Agentes de programaciónFlujos de desarrollo y pruebasCode review & verification+3
5 diapositivas13:57EN
Matthew Berman· 27 feb 2024Mistral 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.Modelos y entrenamientoBenchmarksAI Safety+1
5 diapositivas11:14EN
Matthew Berman· 8 feb 2024Gemini 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 ModelsAgentes de programación+2
46:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 18 ene 2024Pódcast · 2 vocesAfter a decade of code search, Sourcegraph’s CTO says the coding-AI fight is outside the modelPresenta: 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.Agentes de programaciónGeneración aumentada por recuperaciónIngeniería de contexto+3
5 diapositivas24:54EN
Matthew Berman· 22 dic 2023Matthew 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 engineeringAgentes de programaciónHuman-AI Collaboration+2
1:22:59EN
Cognitive Revolution "How AI Changes Everything"· 2 dic 2023PódcastIf Your Agent Is Right 80% of the Time, Ten Steps Leave You With 10%Presenta: 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.AgentesIngeniería de agentesReasoning & test-time compute+3
1:15:39EN
Cognitive Revolution "How AI Changes Everything"· 29 nov 2023PódcastAfter 20 Years of Frontend, v0 Wrote Better Code Than Guillermo Rauch DidPresenta: 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.Agentes de programaciónVibe CodingFlujos de desarrollo y pruebas+3
4 diapositivas7:48EN
Matthew Berman· 26 nov 2023Testing 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· 16 nov 2023Pódcast · 2 vocesFourteen People, $200 Million of Compute, and the Reliability Bottleneck for AgentsPresenta: 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.AgentesAgentes de programaciónIngeniería de agentes+3
3 diapositivas5:31EN
Matthew Berman· 30 oct 2023Connecting 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 systemsAgentes de programación
4 diapositivas7:02EN
Matthew Berman· 18 oct 2023Connecting 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.Ingeniería de agentesOpen-weight modelsMulti-agent systems+2
5 diapositivas15:03EN
Matthew Berman· 10 oct 2023A 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 systemsIngeniería de agentesAgentes de programación+2
1:32:41EN
Cognitive Revolution "How AI Changes Everything"· 5 oct 2023PódcastThere are maybe 5,000 people who can train frontier models. The rest need AI engineersPresenta: 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.Empresa y estrategiaIngeniería de agentesAgentes de programación+3
3 diapositivas7:32EN
Matthew Berman· 4 oct 2023MageGPT 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.Agentes de programaciónSoftware engineeringFlujos de desarrollo y pruebas
2:17:30EN
Cognitive Revolution "How AI Changes Everything"· 29 sept 2023PódcastGemini Became the Daily Driver. A GPT-5 Worthy of the Name Would Make Agents Work.Presenta: Nathan LabenzZvi Mowshowitz returns to Cognitive Revolution to unpack Gemini 1.5, Sora, superalignment, sleeper agents, and the live-player map of frontier labs.Empresa y estrategiaAI StrategyProduct Strategy+3
29:38EN
No Priors: AI, Machine Learning, Tech, & Startups· 21 sept 2023Pódcast · 2 vocesA Beginner Just Shipped a $250K Business. Professionals Got 30 Percent.Presenta: Sarah Guo, Elad GilReplit CEO Amjad Masad on Ghostwriter, why a 3-billion-parameter model was enough, and the agents he wants earning bounties while you sleep.Agentes de programaciónDeveloper productivityOpen-weight models+3
4 diapositivas9:59EN
Matthew Berman· 7 sept 2023Open Interpreter: A 2023 Local Code-Execution WalkthroughMatthew Berman · Forward FutureMatthew Berman installs Open Interpreter, analyzes local files with GPT-4 and tries a local Code Llama setup, with mixed results.Agentes de programaciónLocal inferenceFlujos de desarrollo y pruebas+2
3 diapositivas6:11EN
Matthew Berman· 31 ago 2023Running WizardCoder Locally with Text Generation WebUIMatthew Berman · Forward FutureMatthew Berman walks through a 2023 setup for a quantized Code Llama-based coding model, from the Python environment to a simple test prompt.Local inferenceAgentes de programaciónOpen-weight models+1
5 diapositivas10:20EN
Matthew Berman· 30 ago 2023Phind Code Llama 34B vs GPT-4: A 2023 Python Coding TestMatthew Berman · Forward FutureMatthew Berman compares a quantized Phind fine-tune with GPT-4 on games, short functions and refactoring, with mixed results.Open-weight modelsAgentes de programaciónEvaluaciones+2
1:39:53EN
Cognitive Revolution "How AI Changes Everything"· 8 ago 2023PódcastUnder 100 People, 24 Million Users: Replit's Bet on Artificial Developer IntelligencePresenta: Nathan LabenzMichele Catasta, Replit's new VP of AI, lays out a generate-execute-learn loop he will not call AGI, a 2x-to-1000x productivity ladder, and a keystroke-level data advantage.Agentes de programaciónDeveloper productivityAI startups & small teams+3
1:45:46EN
Cognitive Revolution "How AI Changes Everything"· 4 ago 2023PódcastReplit's $10 AI Programmer Already Pays for Itself. The Ambition Is Bots Hiring BotsPresenta: Nathan LabenzTyler Angert, Replit's first product designer, explains Ghostwriter, a virtual developer, and why the company calls itself the perfect substrate for AGI.Agentes de programaciónDeveloper productivityProduct Strategy+3
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