6. ComfyUI-R1 Introduces ComfyUI-R1, a 7B-parameter large reasoning model fine-tuned for automatic workflow generation in the ComfyUI ecosystem.
LLMS
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Reinforcement Pre-Training: Bridging LLM Pretraining and Reasoning
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3. Reinforcement Pre-Training This paper introduces Reinforcement Pre-Training (RPT), a new paradigm that bridges LLM pretraining and RL by reinterpreting next-token prediction as a reasoning task rewarded via verifiable correctness.
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Text-to-LoRA: Generate Adapters from Natural Language
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1. Text-to-LoRA Introduces a hypernetwork-based approach for instantly generating LoRA adapters from natural language task descriptions, removing the need for conventional task-specific fine-tuning.
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Top AI Papers of The Week: V-JEPA, TableRAG, and More
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Here are the top AI Papers of The Week (June 9-15): – V-JEPA 2
– Magistral
– TableRAG
– Text-to-LoRA – Reinforcement Pre-Training
– Self-Adapting Language Models Read on for more: -
Claude Code Agentic Mode with Opus 4 is Impressive
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oui, parce claude code c'est un mode agentic, c'est pas juste de la génération de code . Et claude code avec Opus 4 c'est juste incroyable vraiment
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GraphRAG and LangGraph agents for legal contract analysis
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GraphRAG Contract Analysis A powerful solution combining GraphRAG and LangGraph agents to analyze legal contracts using Neo4j knowledge graphs, featuring benchmarks across multiple LLMs. Check out the full implementation guide https://
towardsdatascience.com/agentic-graphr
ag-for-commercial-contracts/
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Different Ways to Provide Context and Tool Calls Before Z
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Different ways to provide context and tools calls beforeZ
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Codex Introduces Best-of-N Feature for Improved AI
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New Codex feature — Best-of-N: https://t.co/y7VtnodUCM
— Greg Brockman (@gdb) 15 juin 2025New Codex feature — Best-of-N:
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50 Key Questions Explaining Core LLM Concepts
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50 key questions explaining core LLM concepts, v/Hao Hoang: https://
bit.ly/45aq6Zn -
Recent AI Models Fall Short of Expectations in 2026
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ok fair, i overstated a bit. but look the whole field though pure pretraining would do well and then in November many reports emerged saying that recent models like Orion (relabeled as 4.5) and Behemoth didn’t meet expectations. And GPT-5 still hasn’t emerged. Did that change