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Artificial Intelligence

Explore practical insights, research, and benchmarks on artificial intelligence, including generative AI, large language models, RAG, governance frameworks, MLOps practices, and AI hardware. Gain an understanding of key tools, implementation strategies, and enterprise use cases shaping the AI landscape.

Explore Artificial Intelligence

Agentic RAG Benchmark: Multi-Database Routing Across 36 LLMs

RAG
Benchmark
Aug 7

We benchmarked 36 large language models on cross-database routing. Each model receives a natural language question and 11 SQL databases described at paragraph level, then has to decide which database holds the answer before it writes any SQL. The 11 databases were drawn from 80 BIRD-SQL candidates by clustering their description embeddings, so the candidates…

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LLM
Benchmark
Aug 7

Text-to-SQL: Comparison of LLM Accuracy

We ran 36 large language models over 759 questions from BIRD-SQL, each model writing SQL against a database it had to identify for itself out of 11 candidates. Every parseable query was executed against the real database and its result set compared with the result set of BIRD’s gold query. Missing, malformed and execution-failing queries…

AI Models
Open World Evaluation
Aug 7

Best Flat-Rate LLM API Providers in 2026

Flat-rate LLM providers sell unlimited model usage for a fixed monthly price instead of billing per token. This model spread because agentic coding sessions can use tens of millions of tokens, so a per-token bill is hard to predict. Very few providers offer a true flat fee; most plans marketed as flat carry a usage…

AI
Insight
Aug 7

800+ Leading AI Benchmarks

We curated a list with over 800 AI benchmarks for LLMs, GPUs, cloud GPUs, AI agents, tabular AI, and cybersecurity that are not yet saturated. We found that benchmarking activity was fairly low and steady through 2024–2025, then rose at the beginning of 2026. This reflects the rapid growth of AI systems requiring evaluation, especially…

AI ModelsAug 7

Time Series Classification Benchmark: Foundation Models vs Classical Methods

We benchmarked 13 time series classification methods, from pretrained time series foundation models to a 22-feature baseline from 2019, on 33 UCR/UEA datasets under one frozen protocol. That is 14,638 recorded method-dataset-resample cells, 11,874 of them scored. The chart shows the benchmark’s main comparison: 12 methods on the 15 univariate datasets where every one of…

AI Ethics
Insight
Aug 6

Bias in AI: Examples and 6 Ways to Fix it in 2026

Interest in AI is increasing as businesses witness its benefits in AI use cases. However, there are valid concerns surrounding AI technology: To see if there would be any biases that could arise from the question format, we tested the same questions in both open-ended and multiple-choice formats. We found that when open-ended questions were…

LLM
Benchmark
Aug 6

LLM Latency Benchmark by Use Cases in 2026

We benchmarked 11 top large language models with a total of 1,320 requests, splitting reasoning and non-reasoning models, and measured first-token latency, per-token latency, and overall response time. You can find details on how we measured latency here. We report reasoning and non-reasoning models separately. Reasoning models spend several seconds thinking before the first visible…

AI Governance
Open World Evaluation
Aug 6

Top 12 AI Control Plane Tools for Regulated Deployments

An AI control plane provides a shared layer for operating AI agents and agent-based applications. We compared the top 12 AI control plane tools for enterprise architects, security teams, and AI governance owners planning AI adoption at enterprise scale. Read the methodology to see how we scored these products. Vendor selection criteria: We included vendors…

Healthcare AI
Insight
Aug 6

25 Healthcare AI Use Cases with Examples

A recent study shows that hybrid teams of human clinicians and AI systems make more accurate medical diagnoses, largely because they tend to make different and complementary errors that help correct one another. These findings indicate strong potential of AI to enhance patient safety and promote more equitable healthcare.71 How do healthcare AI systems perform?…

GenAI Applications
Insight
Aug 6

Top 125 Generative AI Applications

Based on our analysis of 30+ case studies and 10 benchmarks, where we tested and compared over 40 products, we identified 125 generative AI use cases across the following categories: For other applications of AI for requests where there is a single correct answer (e.g., prediction or classification), check out AI applications. You can also…

AI Foundations
Insight
Aug 6

Compare AI Revenues Across the Stack

The AI market expanded rapidly across all four layers (data, compute, models, and applications). For example, NVIDIA’s data center revenue increased from $47.5B to $115.2B in a single fiscal year (FY2024 to FY2025, ending January 2024 and January 2025). We tracked revenue data from over 80 AI companies. Explore how revenues shifted across compute, data,…