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Categories
  • All entries123,194
  • Agents10,336
  • Applications7,012
  • Companies3
  • Concepts7
  • Hardware2,694
  • Industry6,766
  • Local Ai6,840
  • Model Releases35,411
  • Research28,731
  • Safety18,965
  • Syntheses30
  • Tools1,773
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Knowledge catalogue

Search: “lambda-labs”

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Techniques

TechniqueRLHF / Alignment1 recent entries
23 Apr 2026ICLR 2026: 12 papers on making AI systems reliable, efficient, and secure

A 7B agent that beats GPT-4o. Lossless weight compression that speeds up inference by 177%. An arena where 23 teams battled across 103,000 adversarial rounds. This year at ICLR, Lambda is presenting t

TechniqueAgents8 recent entries
30 Jul 2026Keeping 100k battles of untrusted agent code in their lane

In March 2026, Lambda ran AgentBeats, an AI agent security competition in which teams submit two kinds of agents: an attacker that tries to manipulate a target LLM into doing something harmful, and a

Tutorials
4,626

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HumanDGX agent

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→4 Aug 2026Choosing the right orchestration layer for your AI use cases

Compute scarcity is not the only struggle AI teams face. Optimal utilization is also key. Friction also emerges when they outgrow informal coordination methods such as shared spreadsheets, manual SSH

→25 Aug 2026AgentFlow: when the agent's workflow learns

For two years, the field has gotten very good at training models, and it still hand-wires the agents around them. Whether an agent plans, searches, calls a tool, or checks its own work before answerin

→10 Sept 2026OpenResearcher: a reproducible and scalable pipeline for training deep research agents

A deep research agent has to do more than answer a question. It plans, searches, opens documents, gathers evidence, reasons across sources, and keeps going across dozens or hundreds of tool calls befo

→16 Sept 2026MLPerf Inference v6.1: pioneering agent, VLM benchmarks

MLPerf Inference v6.1 introduced the first agentic workload run on datacenter hardware and evaluated a model with more than one trillion parameters (Kimi K2), setting a new benchmark for scale. The te

→17 Sept 2026Closing the loop: agentic evaluation for image editing foundation models

Why evaluating image editing models is both critical and challenging Instruction-based image editing is becoming a core capability of multimodal foundation models. Users can increasingly edit images s

→24 Sept 2026Building multimodal models for spatial reasoning

What is spatial reasoning? AI is moving beyond the digital world. The next generation of AI systems needs to understand and interact with physical environments, from robots to autonomous systems navig

→1 Oct 2026From world models to active agents: the next step for physical AI

Generative AI has made remarkable progress in creating increasingly realistic representations of the world. Image models can synthesize photorealistic scenes, video models can generate complex dynamic

TechniqueMultimodal7 recent entries
23 Apr 2026ICLR 2026: 12 papers on making AI systems reliable, efficient, and secure

A 7B agent that beats GPT-4o. Lossless weight compression that speeds up inference by 177%. An arena where 23 teams battled across 103,000 adversarial rounds. This year at ICLR, Lambda is presenting t

→3 Jun 2026How Kodiak trains the brain behind 28 driverless trucks

Twenty-eight trucks, and no humans in the cab. As of March 31, 2026, Kodiak's autonomous driving system, the Kodiak Driver, runs commercial freight on public roads across long-haul trucking, and indus

→1 Jul 2026Lambda’s keynote at the ALVR workshop co-located with ACL 2026

Lambda Labs presented a keynote address at the ALVR (Augmented Language and Vision Research) workshop, which was held in conjunction with ACL 2026, a major computational linguistics conference. The pr

→16 Sept 2026MLPerf Inference v6.1: pioneering agent, VLM benchmarks

MLPerf Inference v6.1 introduced the first agentic workload run on datacenter hardware and evaluated a model with more than one trillion parameters (Kimi K2), setting a new benchmark for scale. The te

→17 Sept 2026Closing the loop: agentic evaluation for image editing foundation models

Why evaluating image editing models is both critical and challenging Instruction-based image editing is becoming a core capability of multimodal foundation models. Users can increasingly edit images s

→24 Sept 2026Building multimodal models for spatial reasoning

What is spatial reasoning? AI is moving beyond the digital world. The next generation of AI systems needs to understand and interact with physical environments, from robots to autonomous systems navig

→1 Oct 2026From world models to active agents: the next step for physical AI

Generative AI has made remarkable progress in creating increasingly realistic representations of the world. Image models can synthesize photorealistic scenes, video models can generate complex dynamic

TechniqueSafety2 recent entries
23 Apr 2026ICLR 2026: 12 papers on making AI systems reliable, efficient, and secure

A 7B agent that beats GPT-4o. Lossless weight compression that speeds up inference by 177%. An arena where 23 teams battled across 103,000 adversarial rounds. This year at ICLR, Lambda is presenting t

→3 Jun 2026How Kodiak trains the brain behind 28 driverless trucks

Twenty-eight trucks, and no humans in the cab. As of March 31, 2026, Kodiak's autonomous driving system, the Kodiak Driver, runs commercial freight on public roads across long-haul trucking, and indus