OpenBMB has launched MiniCPM5-2B, the second checkpoint within the MiniCPM5 sequence and the follow-up to MiniCPM5-1B. It is a dense causal language mannequin with 2,516,756,480 parameters, of which 1,981,982,720 sit exterior the embeddings. It makes use of 42 layers, grouped-query consideration with 16 question heads and 2 key/worth heads, and a local context window of…
Robot manipulation datasets have grown far slower than the fashions educated on them, largely as a result of assortment stays closed and centralized. Expert operators collect demonstrations on lab {hardware}, course of them offline, and ship a set benchmark that by no means grows once more. A analysis workforce from Axis Robotics, UC Berkeley, Georgia…
MG Ship has launched an AI route optimisation and service choice module as logistics deployments exhibit speedy value and time returns. The technical module targets world retailers and business shippers, pairing automated routing algorithms with service suggestion programs throughout worldwide commerce corridors. The deployment arrives as enterprise provide chain operators report measurable operational returns from…
Most open mannequin launches launch one checkpoint and a benchmark desk. The Institute of Foundation Models (IFM) launched one thing wider final week. IFM is the frontier lab launched by MBZUAI in May 2025. K2 Horizon is a fleet of six fashions: 375B-A23B, 36B-A4B, 32B, 7B, 3.7B and 0.9B. Shipping alongside them are the pre-training…
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Most visible doc retrievers in manufacturing at this time are hand-me-downs. ColPali and the fashions that adopted it take a generative vision-language mannequin and repurpose it as an encoder. The consequence nonetheless carries a individually pretrained imaginative and prescient tower and a causal decoder that by no means generates a token. That is parameter and…
AI analysis brokers can already suggest, implement and rating their very own machine studying experiments. Idea technology is reasonable; verification isn’t. Training one candidate can eat hours to days of GPU time, so an agent proposes way more candidates than it will probably afford to run. Which ones get run is the actual lever on…
A staff of researchers from UC Berkeley have launched CUA-Lite, an open platform for computer-use brokers (CUAs). The argument behind it’s infrastructural moderately than model-centric: coaching and benchmarking a CUA requires 4 items: brokers, environments, traces, and a framework to judge and prepare them and all 4 are at present fragmented throughout separate repositories with…
Retrieval high quality in an AI search product is bounded by two issues: how good the embedding mannequin is, and how cheaply you may run it throughout an index. This week, Perplexity Engineering group printed Fast Embeddings on GPUs, an under-the-hood account of the second — the serving infrastructure behind pplx-embed and the rating fashions…
GitHub has launched Project HydraFusion, a analysis preview that stops treating mannequin selection as a one-time setting. Instead of routing your immediate to a single mannequin, HydraFusion builds an execution plan per request. It can draft with one mannequin, have a second mannequin critique the draft, or escalate to a stronger mannequin when a high…