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Games people — and machines — play: Untangling strategic reasoning to advance AI

Source: MIT News – Artificial intelligence Gabriele Farina grew up in a small town in a hilly winemaking...
May 5, 2026
a-coding-guide-to-survey-bias-correction-using-facebook-research-balance-with-ipw-cbps-ranking-and-post-stratification-methods

A Coding Guide to Survey Bias Correction Using Facebook Research Balance with IPW CBPS Ranking and Post Stratification Methods

Source: MarkTechPost In this tutorial, we walk through a complete, end-to-end workflow for correcting bias in survey data...
May 5, 2026
zyphra-introduces-tensor-and-sequence-parallelism-(tsp):-a-hardware-aware-training-and-inference-strategy-that-delivers-2.6x-throughput-over-matched-tp+sp-baselines

Zyphra Introduces Tensor and Sequence Parallelism (TSP): A Hardware-Aware Training and Inference Strategy That Delivers 2.6x Throughput Over Matched TP+SP Baselines

Source: MarkTechPost Training and serving large transformer models at scale is fundamentally a memory management problem. Every GPU...
May 4, 2026
how-to-build-an-end-to-end-production-grade-machine-learning-pipeline-with-zenml,-including-custom-materializers,-metadata-tracking,-and-hyperparameter-optimization

How to Build an End-to-End Production Grade Machine Learning Pipeline with ZenML, Including Custom Materializers, Metadata Tracking, and Hyperparameter Optimization

Source: MarkTechPost In this tutorial, we walk through an end-to-end implementation of an advanced machine learning pipeline using...
May 4, 2026
a-developer’s-guide-to-systematic-prompting:-mastering-negative-constraints,-structured-json-outputs,-and-multi-hypothesis-verbalized-sampling

A Developer’s Guide to Systematic Prompting: Mastering Negative Constraints, Structured JSON Outputs, and Multi-Hypothesis Verbalized Sampling

Source: MarkTechPost Most developers treat prompting as an afterthought—write something reasonable, observe the output, and iterate if needed....
May 3, 2026
a-coding-implementation-to-explore-and-analyze-the-tasktrove-dataset-with-streaming-parsing-visualization-and-verifier-detection

A Coding Implementation to Explore and Analyze the TaskTrove Dataset with Streaming Parsing Visualization and Verifier Detection

Source: MarkTechPost In this tutorial, we take a deep dive into the TaskTrove dataset on Hugging Face and...
May 3, 2026
mistral-ai-launches-remote-agents-in-vibe-and-mistral-medium-35-with-77.6%-swe-bench-verified-score

Mistral AI Launches Remote Agents in Vibe and Mistral Medium 3.5 with 77.6% SWE-Bench Verified Score

Source: MarkTechPost Mistral AI has been quietly building one of the more practical coding agent ecosystems in the...
May 3, 2026
build-a-multi-agent-ai-workflow-for-biological-network-modeling,-protein-interactions,-metabolism,-and-cell-signaling-simulation

Build a Multi-Agent AI Workflow for Biological Network Modeling, Protein Interactions, Metabolism, and Cell Signaling Simulation

Source: MarkTechPost In this tutorial, we build a multi-agent workflow for biological systems modeling and explore how different...
May 2, 2026
a-new-nvidia-research-shows-speculative-decoding-in-nemo-rl-achieves-18×-rollout-generation-speedup-at-8b-and-projects-2.5×-end-to-end-speedup-at-235b

A New NVIDIA Research Shows Speculative Decoding in NeMo RL Achieves 1.8× Rollout Generation Speedup at 8B and Projects 2.5× End-to-End Speedup at 235B

Source: MarkTechPost If you have been running reinforcement learning (RL) post-training on a language model for math reasoning,...
May 2, 2026
a-coding-implementation-of-end-to-end-brain-decoding-from-meg-signals-using-neuralset-and-deep-learning-for-predicting-linguistic-features

A Coding Implementation of End-to-End Brain Decoding from MEG Signals Using NeuralSet and Deep Learning for Predicting Linguistic Features

Source: MarkTechPost In this tutorial, we explore how we can decode linguistic features directly from brain signals using...
May 1, 2026
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