3+ mon, 1+ week ago   (671+ words) Harness-1 reaches 0.730 average curated recall across eight benchmarks, trailing only Opus-4.6 among the searchers tested. Their answer is Harness-1, a 20B retrieval subagent built on gpt-oss-20b. It was trained with reinforcement learning inside a stateful search harness. The harness holds the…...

3+ mon, 1+ week ago   (1040+ words) The Transformer’s attention mechanism has barely changed since 2017. Most efficiency work has tried to replace softmax attention outright. A new paper takes a different route. It keeps softmax attention and bolts on a correction branch. A team of researchers from…...

3+ mon, 2+ week ago   (935+ words) In this tutorial, we explore the TuringEnterprises/Open-MM-RL dataset as a practical foundation for multimodal reasoning and reinforcement learning with verifiable rewards. We load the dataset, inspect its schema, analyze domains, formats, question lengths, answer types, and image distributions, and…...

4+ mon, 1+ week ago   (555+ words) In this tutorial, we walk through an end-to-end implementation of an advanced machine learning pipeline using ZenML. We begin by setting up the environment and initializing a ZenML project, then define a custom materializer that enables seamless serialization and metadata…...

5+ mon, 4+ week ago   (971+ words) Mistral AI has released Mistral Small 4, a new model in the Mistral Small family designed to consolidate several previously separate capabilities into a single deployment target. Mistral team describes Small 4 as its first model to combine the roles associated with…...

6+ mon, 1+ week ago   (271+ words) The primary innovation in Yuan3.0 Ultra’s training is the Layer-Adaptive Expert Pruning (LAEP) algorithm. While expert pruning is typically applied post-training, LAEP identifies and removes underutilized experts directly during the pre-training stage. Research into expert load distribution revealed two distinct phases…...

7+ mon, 2+ week ago   (317+ words) K2 V2 is a dense decoder only transformer with 80 layers, hidden size 8192, and 64 attention heads with grouped query attention and rotary position embeddings. It is trained on around 12 trillion tokens drawn from the TxT360 corpus and related curated datasets that cover web text,…...

8+ mon, 18+ hour ago   (639+ words) Let us now understand the different layers of AI observability with the help of an example. This is why traces and spans are important. A trace represents the complete lifecycle of a single resume submission—from the moment the file…...

8+ mon, 6+ day ago   (497+ words) Technology Innovation Institute (TII), Abu Dhabi, has released Falcon-H1R-7B, a 7B parameter reasoning specialized model that matches or exceeds many 14B to 47B reasoning models in math, code and general benchmarks, while staying compact and efficient. It builds on Falcon H1 7B Base and is…...

9+ mon, 1+ day ago   (308+ words) Can a 3B model deliver 30B class reasoning by fixing the training recipe instead of scaling parameters? Nanbeige LLM Lab at Boss Zhipin has released Nanbeige4-3B, a 3B parameter small language model family trained with an unusually heavy emphasis on data quality, curriculum scheduling,…...