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4 diapositivas32:14EN
Matthew Berman· 20 oct 2023MemGPT: Managing LLM Memory Beyond a Fixed Context WindowMatthew Berman, Charles Packer, Vivian Fang · Forward FutureMatthew Berman reviews the 2023 research, demonstrates document retrieval and hears from authors Charles Packer and Vivian Fang about their plans.Agent memoryIngeniería de contextoGeneración aumentada por recuperación+2
1:40:44EN
Cognitive Revolution "How AI Changes Everything"· 19 jul 2023PódcastGive the Model Time, Memory, and Tools: Nathan Labenz’s 2023 Field Guide to Using GPT-4Presenta: Nathan LabenzPart two of the AI Scouting Report walks from H100 clusters and RLHF through chain-of-thought, retrieval, agents, and mixture-of-experts.AgentesGeneración aumentada por recuperaciónPrompting & in-context learning+3
3 diapositivas7:05EN
Matthew Berman· 2 jul 2023Aider’s Early Coding Assistant: Snake and an Existing Rails ProjectMatthew Berman · Forward FutureMatthew Berman demonstrates the terminal tool’s 2023 workflow, from generating and iterating on a game to proposing a dependency change in a repository.Agentes de programaciónFlujos de desarrollo y pruebasSoftware engineering+1
1:47:05EN
Cognitive Revolution "How AI Changes Everything"· 1 jul 2023PódcastEdit Meaning, Not Tokens: Linus Lee on Latent-Space InterfacesPresenta: Nathan LabenzThe Notion AI product lead walks Nathan Labenz through the interfaces, model autopsies, and agency questions behind his research prototypes.Producto y UXAI interface designProduct Strategy+3
2 diapositivas5:11EN
Matthew Berman· 25 abr 2023AI Memory in 2023: Long Context, Retrieval and Recurrent MemoryMatthew Berman · Forward FutureMatthew Berman compares external agent memories with a recurrent-memory research experiment, and explains why longer context remains a limited result.Agent memoryIngeniería de contextoTransformers & attention+1
17:22EN
Lenny's PodcastPódcastDon't Become a Software Factory: Why Context Is the Real ProductPresenta: Lenny RachitskyLinear CEO Karri Saarinen argues that as AI automates execution, product teams must protect the learning that makes great products possible.Producto y UXProduct StrategyProduct Leadership+3
1:36:57EN
Unsupervised Learning: With Jacob EffronPódcastDo the Dumb Thing First: A CTO's Playbook for Building an AI Coding AssistantPresenta: Jacob EffronSourcegraph CTO Beyang Liu on which AI coding features actually earn daily use, how new models get shipped and evaluated, and why retrieval is still a search problem.Agentes de programaciónEvaluacionesGeneración aumentada por recuperación+3
21:31EN
Lenny's PodcastPódcastRowing or Steering: How Atlassian's PMs Became AI BuildersPresenta: Lenny RachitskyAtlassian CPO Tamar Yehoshua explains, through three internal projects, when product managers should write code and when they should guide the team.Producto y UXProduct ManagementAI Product Management+3
54:52EN
Unsupervised Learning: With Jacob EffronPódcastCoding Agents Are Breaking Containment: The 2026 AI Stack, the Coding Wars, and the Next FrontierPresenta: Jacob EffronJacob Effron and Swyx map the state of AI engineering, from agent harnesses and infrastructure churn to coding-market economics, open models, dark factories, and world models.Agentes de programaciónIngeniería de agentesIngeniería de contexto+3
1:03:10EN
Cognitive Revolution "How AI Changes Everything"PódcastPause Tokens, Analogical Prompts and Ring Attention: A Tour of the Transformer's Next UpgradesPresenta: Nathan LabenzNathan Labenz and Trey Kollmer walk through five recent papers on pausing, backspacing, prompting, streaming and long-context training, and sketch how they might combine into a more capable model.Modelos y entrenamientoTransformers & attentionFundamentos de ML+3