Strategies for making reproducible research the norm (elifesciences.org)

Screenshot of elifesciences.org: Strategies for making reproducible research the norm

First screen, captured 2 years ago.

Looks similar

Screenshot of elifesciences.org: Teen neurostimulation of dopamine circuit reverses genetic deficits in PF cortex

Teen neurostimulation of dopamine circuit reverses genetic deficits in PF cortex (elifesciences.org)

53 points by birriel 3 years ago | 19 comments

Screenshot of arxiv.org: Evolving Reservoirs for Meta Reinforcement Learning

Evolving Reservoirs for Meta Reinforcement Learning (arxiv.org)

50 points by PaulHoule 2 years ago | 4 comments

Screenshot of arxiviq.substack.com: GEPA: Reflective prompt evolution can outperform reinforcement learning

GEPA: Reflective prompt evolution can outperform reinforcement learning (arxiviq.substack.com)

80 points by che_shr_cat 1 year ago | 19 comments

Screenshot of lite.berkeley-humanoid.org: Berkeley Humanoid Lite – Open-source robot

Berkeley Humanoid Lite – Open-source robot (lite.berkeley-humanoid.org)

253 points by ratsbane 1 year ago | 33 comments

Screenshot of arxiv.org: Search-R1: Training LLMs to Reason and Leverage Search Engines with RL

Search-R1: Training LLMs to Reason and Leverage Search Engines with RL (arxiv.org)

87 points by jonbaer 1 year ago | 9 comments

Screenshot of z.ai: How GLM built its own inference infrastructure

How GLM built its own inference infrastructure (z.ai)

373 points by whiteros_e 1 month ago | 261 comments

Z.ai research blog post describing how its GLM model was used to build its own inference infrastructure, framed as a step toward recursive self-improvement.

glm z-ai recursive-self-improvement inference-infrastructure

Looks similar

Teen neurostimulation of dopamine circuit reverses genetic deficits in PF cortex(elifesciences.org)

Evolving Reservoirs for Meta Reinforcement Learning(arxiv.org)

GEPA: Reflective prompt evolution can outperform reinforcement learning(arxiviq.substack.com)

Berkeley Humanoid Lite – Open-source robot(lite.berkeley-humanoid.org)

Search-R1: Training LLMs to Reason and Leverage Search Engines with RL(arxiv.org)

How GLM built its own inference infrastructure(z.ai)