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
Embedding Models: 22 Models Benchmarked for Retrieval
We benchmarked 22 embedding models on 200 retrieval questions across finance, legal contracts, technical support and medical literature. The four corpora contained 341,040 text passages in total. Each query searched its own domain. nDCG@10 measures how highly the recorded relevant passages appear in the first ten results. Scores range from 0 to 1, with higher…
Top 20 AI-Generated Text Detectors Comparison
We conducted a benchmark of the most commonly used 10 AI-generated text detector. Here’s a quick summary of our findings: Explore detailed feature & pricing comparison of the top 20 AI-content detectors, along with benchmark results, and the AI detection models powering these tools: For details on the benchmark, read AI content detector tools benchmark…
Agentic RAG Benchmark: Routing Across 11 SQL Databases
Routing accuracy is the percentage of scored questions for which the model explicitly names the correct database in its final answer. The headline uses the 184 questions flagged as difficult by both our similarity test and a jury of three LLMs. Missing explicit declarations receive no credit. claude-opus-5.5 selected the correct database for 166 of…
Text-to-SQL Benchmark: SQL Accuracy Across 40+ LLMs
SQL accuracy is the percentage of scored queries that return the reference result. Incorrect routes and references flagged as broken are excluded. A reference query is the SQL supplied as the expected answer. Each model reaches a different set of SQL questions because scoring depends on its database choices. Differences in these subsets and execution…
Compare Top 6 AI Presentation Makers
We evaluated the top 6 AI presentation makers across 9 dimensions with 4 different prompts to assess their context and prompt understanding, visual AI integration, and voice and brand style adaptation capabilities: See the methodology and evaluation criteria to understand how we calculated these results. The score variations across Gamma, Google Slides with Gemini, SketchBubble,…
Compare Top 21 Manufacturing AI Solutions & Software
Manufacturing AI solutions can lower maintenance costs and customize product designs. After reviewing over 50 manufacturing AI tools, we identified the top options in the market. Sorting by alphabetic order within their specific group, except the subscribers which are placed at the top. We typically consider B2B reviews, but since large manufacturing AI providers have…
Compare Top 7 AI Image Detectors
We compared the top 7 AI image detectors across 5 dimensions and found that most perform no better than a coin toss. See insights into their accuracy, limitations, and readiness for real-world applications: Read the methodology to learn how we measured and compared these tools. SightEngine provides image moderation tools via APIs that automatically detect…
LLM Market Share: Compare Usage & Adoption
We analyzed LLM market share by combining usage-based data and web visit estimates to show how demand for large language models is distributed across AI labs and AI applications. Read the methodology to see how we measured and calculated these results. The United States dominated web visits across all four months, consistently accounting for 85–95%.…
AIM-Decision: Jev vs Kev vs LLMs
Decision models, also called System One models,39 choose an agent’s next action in a single pass instead of generating text token by token. To see whether they can make browser automation cheaper than LLMs, we ran three decision models and two LLMs, Gemini 3.8 Flash and GPT-6 Astra, on the same 50 browser tasks, for…
Bias in AI: Examples and 6 Ways to Fix it
Because LLMs learn from human-generated text, they can absorb its biases, which matters when they screen candidates, assess risk, or support decisions. We benchmarked 28 leading LLMs on bias questions spanning gender, race/ethnicity, age, appearance, religion, socioeconomic status, sexual orientation, and disability, each designed so that “cannot be determined” is the only defensible answer. Every…