Generative AI

Sigmoidal Scaling Curves for Reinforcement of RL Learning Post-LLMS Training

Sigmoidal Scaling Curves for Reinforcement of RL Learning Post-LLMS Training

Intensification of learning RL RL-Training is now a great desire for retiming-centric LLMS, but unlike previous training, it has never…
Code implementation of integrated tools framework from documentation to automated pipelines

Code implementation of integrated tools framework from documentation to automated pipelines

In this tutorial, we create a compact, practical framework that shows how to convert tool scripts into general, converged, and…
Baidu's PaddlePaddle Team releases PaddleDecc-VL (0.9B): Navit-style 4.5-0.3b vlm aimed at high end

Baidu's PaddlePaddle Team releases PaddleDecc-VL (0.9B): Navit-style 4.5-0.3b vlm aimed at high end

How do you convert complex, multilingual structures, small documents, formulas, charts, and handwriting – online with systematic accuracy while maintaining…
QERL: NVFP4-intensive learning (RL) brings 32B LLM training to H100-while improving assessment

QERL: NVFP4-intensive learning (RL) brings 32B LLM training to H100-while improving assessment

What can you build if you can run Emphasis on Reading (RL) Training after 32B LLM in 4-bit NVFP4-in H100-in…
Building a Collapsing LLM Agent for Long Term Consulting with Memory Compression and Tooling

Building a Collapsing LLM Agent for Long Term Consulting with Memory Compression and Tooling

In this tutorial, we explore how to build an onshore LLM agent processor that efficiently solves long, complex tasks by…
Meta Ai 'FIRST experience' Train 'Training Language Agents Without Rewards – and Immigration

Meta Ai 'FIRST experience' Train 'Training Language Agents Without Rewards – and Immigration

How does your agent change if the policy can only train from its outcomes – free rewards – no rewards,…
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