LLM Use Cases, Analyses & Benchmarks

We benchmark performance, use cases, cost analyses, deployment options, and best practices to guide enterprise LLM adoption.

Text To SQL

We used our text-to-SQL benchmark methodology on 35+ large language models (LLMs) to assess their performance in SQL command generation:

Text To SQL

Finance LLM

We evaluated 40+ LLMs in finance on 238 hard questions from the FinanceReasoning benchmark to identify which models excel at complex financial reasoning tasks like statement analysis, forecasting, and ratio calculations.

Finance LLM

LLM Latency Benchmark

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.

LLM Latency Benchmark

AI Hallucination

HALC-Bench (LLM Hallucination on Long-Context Retrieval Benchmark) measures a large language model's resistance to fabricating evidence for a metric that does not exist in the target document by using 3 haystacks placed at the beginning, middle, and end of the model’s context window, with 204 questions.

AI Hallucination

Explore LLM Use Cases, Analyses & Benchmarks

Audience Simulation: Can LLMs Predict Human Behavior?

LLM

Benchmark

Jun 22

In marketing, evaluating how accurately LLMs predict human behavior is crucial for assessing their effectiveness in anticipating audience needs and recognizing the risks of misalignment, ineffective communication, or unintended influence. Audience simulation with LLMs enables the modeling of virtual audiences, helping organizations anticipate reactions to content or products without relying on costly surveys or focus…

LLM

Benchmark

Jun 15

AI Gateways for OpenAI: OpenRouter Alternatives

We benchmarked OpenRouter, SambaNova, TogetherAI, Groq, and AI/ML API across three indicators (first-token latency, total latency, and output-token count), with 300 tests using short prompts (approx. 18 tokens) and long prompts (approx. 203 tokens) for total latency. If you plan to use one of these AI gateways, you can: In this benchmark, we compared OpenRouter,…

LLM

Benchmark

Jun 5

Large Language Models in Cybersecurity

We evaluated 7 large language models across 9 cybersecurity domains using SecBench, a large-scale and multi-format benchmark for security tasks. We tested each model on 44,823 multiple-choice questions (MCQs) and 3,087 short-answer questions (SAQs), covering data security, identity & access management, network security, vulnerability management, and cloud security. MCQs (Multiple-Choice Questions) benchmarking: SAQs (Short Answer…

LLM

Insight

May 26

ChatGPT for Customer Service: Top 10 Use Cases

ChatGPT has moved from novelty to infrastructure in customer service. Companies are using it to cut response times, handle volume their teams can’t absorb, and reduce the cost of routine interactions. But results vary sharply depending on how it’s implemented. OpenAI launched GPT-5.2, a materially more capable model that is better at instruction-following, reasoning across…

LLM

Benchmark

Apr 15

LLM Quantization: BF16 vs FP8 vs INT4

We benchmarked Qwen3-32B at 4 precision levels (BF16, FP8, GPTQ-Int8, GPTQ-Int4) on a single NVIDIA H100 80GB GPU. Each configuration was evaluated on 2 benchmarks (~12.2K questions) covering knowledge and code generation, plus 2,000+ inference runs to measure throughput. Int4 is 2.7x faster than BF16 while losing less than 2 points on MMLU-Pro, but code…

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LLM Use Cases, Analyses & Benchmarks

Text To SQL

Finance LLM

LLM Latency Benchmark

AI Hallucination

Explore LLM Use Cases, Analyses & Benchmarks

Audience Simulation: Can LLMs Predict Human Behavior?

AI Gateways for OpenAI: OpenRouter Alternatives

Large Language Models in Cybersecurity

ChatGPT for Customer Service: Top 10 Use Cases

LLM Quantization: BF16 vs FP8 vs INT4

FAQ

Text To SQL

Finance LLM

LLM Latency Benchmark

AI Hallucination