#feature-selection-techniques

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#machine-learning #ai-agents #cost-optimization #data-quality #chanceometers #decision-making #uncertainty
Software development
fromArs Technica
3 days ago

Running local models on Macs gets faster with Ollama's MLX support

Ollama enhances local language model performance on Apple Silicon with MLX support and improved caching, catering to growing interest in local models.
Artificial intelligence
fromInfoWorld
1 week ago

Final training of AI models is a fraction of their total cost

Developing AI models incurs significant costs, with most expenditures on scaling and research rather than final training runs.
Science
fromNature
1 week ago

Drowning in data sets? Here's how to cut them down to size

The Square Kilometre Array Observatory will generate massive data, but storage and retention pose significant challenges for researchers.
Data science
fromMedium
1 week ago

AI KPIs That Matter: Moving Beyond Model Accuracy in 2026

Measuring AI success requires connecting model performance to business outcomes, not just focusing on accuracy metrics.
DevOps
fromInfoWorld
1 week ago

An architecture for engineering AI context

AI systems must intelligently manage context to ensure accuracy and reliability in real applications.
Digital life
fromInfoWorld
2 weeks ago

AI optimization: How we cut energy costs in social media recommendation systems

Optimizing data processing in AI can significantly reduce energy consumption and operational costs.
Artificial intelligence
fromMedium
1 week ago

Less Compute, More Impact: How Model Quantization Fuels the Next Wave of Agentic AI

Model quantization and architectural optimization can outperform larger models, challenging the belief that more GPUs equal greater intelligence.
Data science
fromInfoWorld
2 weeks ago

The 'toggle-away' efficiencies: Cutting AI costs inside the training loop

Simple optimizations can significantly reduce AI training costs and carbon emissions without needing the latest GPUs.
fromiRunFar
3 weeks ago

AI-Powered Optimization: New Frontiers in Peak Running Performance

Super shoes and ultralight gear make a difference, but with new advancements in artificial intelligence (AI) that can look at our running form and compare it to the ideal, analyze our nutrition intake from a simple photo and help us plan our diets, and offer guidance on training and recovery, the interwovenness of technology and running is only set to increase.
Running
Artificial intelligence
fromInfoWorld
2 weeks ago

Why AI evals are the new necessity for building effective AI agents

User trust in AI agents depends on interaction-layer evaluation measuring reliability and predictability, not just model performance benchmarks.
Productivity
fromEntrepreneur
3 weeks ago

How AI Clears the Path to Faster, Better Executive Decisions

Decision slowdowns stem from disorganized inputs forcing leaders to decode information rather than decide, which AI can resolve by standardizing briefs, surfacing tradeoffs, and documenting rationale.
Business
fromTechRepublic
4 weeks ago

AI-optimization is exposing HR's operational blind spots

AI efficiency in businesses exposes outdated HR systems and processes, requiring modernization of approval chains, tech stacks, and onboarding workflows to maintain operational alignment.
Artificial intelligence
fromTheregister
1 month ago

AI models get better at math but still get low marks

Current LLMs struggle with mathematical accuracy, with even top performers scoring C-grade equivalent on practical math benchmarks, though recent versions show modest improvements.
Data science
fromInfoWorld
1 month ago

How to choose the best LLM using R and vitals

Swap model by creating a new chat solver, clone or create tasks with alternative LLMs, run evaluations, and bind results for comparison and analysis.
UX design
fromscikit-learn Blog
2 months ago

Enhancing user experience through interactive inspection

Scikit-learn added interactive HTML model inspections, including parameter tables, funded by a Wellcome/CZI EOSS grant to improve model inspection and UX.
Information security
fromSecuritymagazine
1 month ago

Product Spotlight on Analytics

Taelor Sutherland is Associate Editor at Security magazine covering enterprise security, coordinating digital content, and holding a BA in English Literature from Agnes Scott College.
#ai-agents
fromFortune
2 months ago
Artificial intelligence

Want to get AI agents to work better? Improve how they retrieve data, Databricks says | Fortune

fromZDNET
2 months ago
Artificial intelligence

Is your AI agent up to the task? 3 ways to determine when to delegate

fromFortune
2 months ago
Artificial intelligence

Want to get AI agents to work better? Improve how they retrieve data, Databricks says | Fortune

fromZDNET
2 months ago
Artificial intelligence

Is your AI agent up to the task? 3 ways to determine when to delegate

more#ai-agents
Cryptocurrency
fromBusiness Matters
2 months ago

What Is the Best Way to Purchase Advanced Analytics Tools for Digital Assets?

Purchase digital-asset analytics by defining use cases, evaluating data quality and methodology, and ensuring technical integration into existing workflows.
Digital life
fromInc
2 months ago

Fed Up With AI Slop? These Platforms Will Let You Dial it Down

Platforms are adding settings to reduce low-quality AI-generated content, but fully eliminating such content from feeds is extremely difficult.
Artificial intelligence
fromTechCrunch
1 month ago

Running AI models is turning into a memory game | TechCrunch

Rising DRAM prices and sophisticated prompt-caching orchestration make memory management a critical cost and performance factor for large-scale AI deployments.
Artificial intelligence
fromEntrepreneur
2 months ago

Comparing AI Models With This Tool Can Save Your Business Time and Money

ChatPlayground AI aggregates over 25 leading AI models into one interface for instant side-by-side comparisons, streamlined workflows, and a lifetime Unlimited subscription for entrepreneurs.
fromInfoQ
1 month ago

Building Embedding Models for Large-Scale Real-World Applications

What happens under the hood? How is the search engine able to take that simple query, look for images in the billions, trillions of images that are available online? How is it able to find this one or similar photos from all that? Usually, there is an embedding model that is doing this work behind the hood.
Artificial intelligence
Artificial intelligence
fromInfoQ
2 months ago

Foundation Models for Ranking: Challenges, Successes, and Lessons Learned

Large-scale search and recommendation systems use two-stage retrieval and ranking pipelines to efficiently serve personalized results for hundreds of millions of users and items.
Artificial intelligence
fromInfoQ
2 months ago

Why Most Machine Learning Projects Fail to Reach Production

Most ML projects fail to reach production because of problem choice, data/labeling issues, model-to-product gaps, offline-online mismatches, and non-technical blockers.
Artificial intelligence
fromLogRocket Blog
2 months ago

How poor chunking increases AI costs and weakens accuracy - LogRocket Blog

Chunking determines AI feature cost, accuracy, and scalability; deliberate chunking reduces costs, improves retrieval accuracy, and enables reliable production systems.
Artificial intelligence
fromInfoQ
1 month ago

Windsurf Introduces Arena Mode to Compare AI Models During Development

Arena Mode enables side-by-side, in-IDE comparison of large language models during real coding tasks, producing personal and global model rankings based on developer votes.
Artificial intelligence
fromInfoQ
2 months ago

Autonomous Big Data Optimization: Multi-Agent Reinforcement Learning to Achieve Self-Tuning Apache Spark

A Q-learning agent autonomously learns and generalizes optimal Spark configurations by discretizing dataset features and combining with Adaptive Query Execution for superior performance.
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