LLMs8 min read
AI Code Volume Up But Productivity Stays Flat
A Harvard study shows AI tools increase code lines but fail to boost completed work due to review bottlenecks.
From InfoQ: AI, ML and data engineering
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LLMs8 min read
A Harvard study shows AI tools increase code lines but fail to boost completed work due to review bottlenecks.
From InfoQ: AI, ML and data engineering
AI12 min read
Researchers found Large Language Models frequently answer using search snippets without reading the actual web pages. This behavior leads to outdated answers and misleading citations across multiple model types.
From Unite.AI
Photo: Yan Krukau
Vision-language models link visual data with text to describe, compare, and reason about images. They differ from standard computer vision by using open-ended language instead of fixed labels.
From Unite.AI
AI13 min read
Mirror Particle raises capital to create an AI engine that simulates changing human motivations. The company rejects large language models in favor of a foundation model trained on longitudinal data.
From TechCrunch AI
Agents9 min read
Amazon SageMaker AI now supports fine-tuning search agents using multi-turn reinforcement learning, improving retrieval quality and reliability with minimal setup.
From AWS machine learning blog
AI1 min read
An AlphaGo researcher argues current language models do not reason and proposes a new system design.
From MIT Technology Review AI
Research1 min read
Controlling the output of Large Language Models (LLMs) is a central challenge for their reliable deployment, yet a clear understanding of the involved trade-offs remains elusive. Current approaches to conditioning are often evaluated wit...
From Apple machine learning research
LLMs1 min read
Vision-language models have made it possible to build visual AI agents that understand video at production scale. The harder problem is turning that capability...
From NVIDIA technical blog
AI1 min read
America.gov is intended to simplify the process of navigating government bureaucracy, but language models are imperfect and remain prone to hallucinations, which could cause new issues.
From TechCrunch AI
LLMs1 min read
A Visual Guide to RNNs, CNNs, Transformers, and Calibration, with Hands-On Experiments on Accuracy and Efficiency
From Ahead of AI (Sebastian Raschka)
Research1 min read
When language models reason in chain-of-thought or exchange free-text intermediates, they serialize structured information into natural language. How much tree-structured compositional content survives this bottleneck? We propose a round...
From Apple machine learning research
AI2 min read
Jev is TypeSafe AI’s first model that makes typed decisions with probabilities. It is faster and cheaper than some large language models for small judgments.
From MarkTechPost
AI1 min read
Liquid AI has released LFM2.5-VL-3B-DSpark, a 279.5M-parameter draft model that brings speculative decoding to its LFM2.5-VL-3B vision-language model. It delivers up to 3.13x faster decoding on Apple M5 Max and 2.66x on H100, with identi...
From MarkTechPost
Agents2 min read
Jev is a new decision model that is faster and cheaper than traditional large language models. LangGraph helps build reliable AI workflows.
From LangChain blog
Agents2 min read
Amazon EKS, Elastic Fabric Adapter, and DeepEP boost large-scale MoE reinforcement learning training by 40% throughput.
From AWS machine learning blog
Agents2 min read
Amazon SageMaker HyperPod now supports large-scale reinforcement learning training with SkyRL. It improves training speed and resilience for vision-language models.
From AWS machine learning blog
LLMs2 min read
A new draft model for vision-language tasks offers faster decoding on devices and GPUs, with small memory costs and day-one support for popular frameworks.
From Hugging Face blog
LLMs1 min read
As language models grow, scaling dense architectures becomes increasingly expensive. In a dense transformer, every token passes through every layer, so adding...
From NVIDIA technical blog
Agents1 min read
EXL built an AI-powered Medical intelligent document processing (IDP) solution on AWS, combining IDP with domain-specific large language models on Amazon SageMaker and Amazon Bedrock to extract, summarize, and query medical records at en...
From AWS machine learning blog
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
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