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Daily bookmarks: relevant news, facts and discoveries.
Published on October 19, 2025, the study examines data, algorithms, and reasoning modes for training agentic LLMs. Its preview highlights a comparison between concatenated synthetic trajectories and real end-to-end tool-use trajectories.
Read articlePublished on October 18, 2025, the account presents Router-R1 as a reinforcement learning approach that alternates between reasoning and calls to multiple LLMs. It reports results on seven question-answering benchmarks.
Read articlePublished on October 17, 2025, this item shares a course on optimizing language-model prompts with DSPy GEPA, aimed at engineers. The description provides no detailed curriculum or evaluation results.
Read articlePublished on October 17, 2025, the report describes a speech synthesis framework combining IPA representation, dialect-aware experts, and adaptation methods.
Read articleOn October 17, 2025, Meituan released an open-source tokenizer and detokenizer optimized for Speech LLMs, featuring parallel tokens and a low-latency streaming decoder.
Read articleA Python implementation of Recursive Language Models keeps long inputs in a Python REPL for analysis and reports support for more than 100 LLM providers through LiteLLM.
Read articleAalto University offers a free, practical course on algorithm engineering for modern parallel computers, including multicore CPUs and GPUs. Its materials cover designing programs to make use of these resources.
Read articleA commentary on an AGI paper praises its discussion of capability variation but questions its benchmarks and narrow view of artificial intelligence.
Read articleA cookbook reports that reflective prompt optimization with DSPy GEPA raised accuracy on NuminaMath-1.5 by 11%, for a total cost of less than US$0.50.
Read articlePublished on October 15, 2025, the entry recommends Guy Blelloch’s book as a companion to an MIT course and highlights memory hierarchy in parallel computing.
Read articleA publication dated October 15, 2025 describes Recursive Language Models, which interact recursively with very long prompts through a REPL, and reports results on the OOLONG and BrowseComp-Plus benchmarks.
Read articlePublished on October 14, 2025, the study examines data, algorithms, and reasoning modes in reinforcement learning for agents, including trajectories and tool use.
Read articlePublished on October 14, 2025, this entry describes the Radxa Orion O6N, a Nano-ITX board with a 12-core CIX P1 SoC, up to 64 GB of LPDDR5, and a 30/45 TOPS AI accelerator.
Read articlePublished on October 14, 2025, the announcement says SkyRL tx version v0.0.2 enables multi-LoRA training through the Tinker API.
Read articlePublished on October 13, 2025, the summary presents Agentic Context Engineering (ACE), an approach that incrementally accumulates and refines structured context items based on performance.
Read articleThe report gives an audio reasoning model a 92% score on Big Bench Audio and compares time to first token with and without its reasoning step.
Read articlePublished on October 13, 2025, the article presents a system that switches between dense and sparse attention to adapt processing from short to long sequences.
Read articlePublished on October 13, 2025, the report presents an approach that analyzes models’ internal circuits to predict incorrect reasoning and reports results on arithmetic tasks.
Read articleExperiments reported with 13 LLMs found the best result at 17% attention, equivalent to two of 12 layers. The comparison may inform architecture choices, but does not establish a universal rule.
Read articlePublished on October 12, 2025, the guide covers the shift from next-token prediction to instruction following, along with methods and evaluation.
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