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Machine Learning

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14:00
2026-08-03
kdnuggets.com
artificial-intelligence

A Guide to Saving Token Usage with Multi-Agent AI

A new guide outlines four strategies for reducing token usage in multi-agent AI systems: static instruction caching, semantic caching, just-in-time tooling, and task escalation. The guide, published by an unnamed source,…

14:00
2026-07-28
kdnuggets.com
large-language-models

An Introductory Guide to Practical Constraint Decoding

Practical constraint decoding, also known as structured generation, forces large language models to generate outputs that strictly follow a specified data schema, grammar, or regex by masking logits at the token selectio…

13:02
2026-07-24
kdnuggets.com
large-language-models

Language Model Hallucination Evaluation with GraphEval

Amazon researchers have developed GraphEval, a framework that uses knowledge graphs to detect hallucinations in large language model (LLM) outputs. The method constructs semantic triples from a model's response and evalu…

14:00
2026-07-13
kdnuggets.com
large-language-models

Structured Language Model Generation with Outlines

Outlines, an open-source library, introduces deterministic certainty into large language model output generation to produce reliable structured outputs such as JSON objects and classification results. The library masks o…

12:00
2026-07-02
kdnuggets.com
artificial-intelligence

Humanity’s Last Exam is a Distraction

The Center for AI Safety, with world experts, created Humanity's Last Exam (HLE), a benchmark of over 2,500 expert-level questions across disciplines to test AI reasoning. Even top models like GPT, Gemini, and Claude sco…

16:40
2026-06-17
github.com
machine-learning

Show HN: Chess bot based on the transformer architecture

A developer built a chess bot using a transformer architecture with 11 million parameters, achieving a 1500 Elo rating from the model alone and 2100 Elo when combined with Monte Carlo Tree Search. The bot is available as…

08:45
2026-06-16
thecomputersciencebook.com
large-language-models

PagedAttention is more than virtual memory

PagedAttention, a memory optimization technique in the vLLM inference server, applies virtual memory concepts to manage the KV cache in large language models, improving throughput by reducing fragmentation. The KV cache …

16:00
2026-06-08
kdnuggets.com
large-language-models

Why Do LLMs Corrupt Your Documents When You Delegate?

A new study reveals that large language models (LLMs) silently corrupt documents when delegated editing tasks, with even top-tier models like Gemini Pro, Claude Opus, and GPT-5 degrading 25% of original content after 20 …

14:00
2026-06-02
kdnuggets.com
artificial-intelligence

A Gentle Primer on LLM Explainability

The field of LLM explainability is advancing with new frameworks like SMILE and gSMILE that use statistical methods to create visual heatmaps showing which parts of a user prompt most influenced a model's output. Researc…

11:31
2026-06-12
dev.to
computer-vision

Image Reconstruction Using Deep Learning: A Complete Guide

A comprehensive guide has been published covering the history, techniques, datasets, algorithms, tools, and real-world applications of image reconstruction using deep learning. The resource details how deep learning mode…

08:38
2026-07-07
vanuan.github.io
ai-safety

The first AI safety letter was sent in 1949

A mathematician named Norbert Wiener sent a letter in 1949 warning about the dangers of intelligent machines, but his concerns were ignored. The piece traces the history of AI safety concerns from Wiener's cybernetics to…

11:54
2026-06-29
wealthsystems.ai
artificial-intelligence

Five Forecasts for the Future of Work

Cheap AI intelligence is repricing labor, shifting work from human execution to machine delegation. Five forecasts predict that prompts become work orders, agents replace chatbots, and companies treat tokens as labor sub…

00:00
2026-06-22
aclanthology.org
machine-learning

A Counterfactual Explanation Framework for Retrieval Models

Researchers Bhavik Chandna and Procheta Sen introduced a counterfactual explanation framework for retrieval models that identifies which terms need to be added to a document to improve its ranking, addressing why a docum…

22:04
2026-07-11
sourcefeed.dev
ai-infrastructure

Demystifying the NVIDIA DGX Spark for API Developers

NVIDIA's DGX Spark desktop GPU, with 128 GB unified memory and a 140W ARM64 processor, challenges API developers to shift from cloud-based AI consumption to local systems engineering. The device's shared memory architect…

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