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
Top 25 Generative AI Finance Use Cases in 2026
I spent a decade consulting for financial services firms. Every AI implementation I saw followed the same pattern: pilot projects that looked impressive in presentations but stalled in production. That’s changing. Banks are now deploying generative AI at scale, and the results are measurable. Here’s what’s actually working, based on implementations you can verify. Specialized…
Open Source Embedding Models Benchmark for RAG
We benchmarked 14 open-source embedding models, self-hosted on a single H100, across 500+ manually curated retrieval queries spanning legal contracts, customer support tech notes, and medical abstracts. NVIDIA Llama-Embed-Nemotron-8B leads in accuracy. On cost, Google’s EmbeddingGemma-300m runs roughly 4x cheaper than Nemotron at the cost of a small accuracy loss. nDCG@3: Normalized discounted cumulative gain…
Top 7 Methods for Audio Sentiment Analysis in 2026
As the number of consumers increases and users’ data accumulates daily, a data explosion is no surprise. Companies use data collection and analytics to improve sales, customer insights, or brand reputation. Even though voice data is the most direct feedback businesses receive from customers, they often overlook its importance. To better understand how customers evaluate…
Tabular Models Benchmark: Performance Across 19 Datasets 2026
We benchmarked 8 tabular learning models on 19 real-world datasets covering roughly 260,000 samples, with dataset sizes from 435 to 48,800 rows. Every model ran on the same machine with 5-fold cross-validation and identical splits. Each dataset is a round-robin of head-to-head matches between models, decided by the primary metric. Elo aggregates all 483 matches…
Comparison of Top 6 Free Cloud GPU Services
The best free GPU tier is worth about $19 a month at rental rates, and eight platforms give a real GPU with no credit card. Six of them cap free usage by the month, and we priced those at the cheapest current on-demand rate for each GPU in our cloud GPU pricing data. Each bar…
AI Web Browsers: Selection Guide in 2026
We tested 10 AI-powered browsers by running identical tasks across each platform: webpage summarization, multi-site research, form automation, and cross-tab workflows. We documented which features worked as advertised and which failed during actual use. A comparison of 10 browsers tested across 4 categories, updates on product launches, and concrete examples of what each browser can…
Compare Multimodal AI Models on Visual Reasoning
We benchmarked 15 leading multimodal AI models on visual reasoning using 200 visual-based questions. The evaluation consisted of two tracks: 100 chart understanding questions testing data visualization interpretation, and 100 visual logic questions assessing pattern recognition and spatial reasoning. Each question was run 5 times to ensure consistent and reliable results. See our benchmark methodology…
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…
Compare Relational Foundation Models
We benchmarked SAP-RPT-1-OSS against gradient boosting (LightGBM, CatBoost) on 17 tabular datasets spanning the semantic-numeral spectrum, small/high-semantic tables, mixed business datasets, and large low-semantic numerical datasets. Our goal is to measure where a relational LLM’s pretrained semantic priors may provide advantages over traditional tree models and where they face challenges under scale or low-semantic structure.…
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 85.5–90.5%.…