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.

AI Bias

We benchmarked 14 leading LLMs on 66 bias evaluation questions across gender, race, age, disability, socioeconomic status, and sexual orientation.

AI Bias

Multimodal Embeddings

We benchmarked 7 leading models across MS-COCO and Winoground to measure this specific limitation.

Multimodal Embeddings

Finance LLM

We evaluated LLMs on 238 hard questions from the FinanceReasoning benchmark (Tang et al.).https://arxiv.org/abs/2506.05828 This subset targets the most challenging financial-reasoning tasks, assessing complex, multi-step quantitative reasoning involving financial concepts and formulas.

Finance LLM

Embedding Models Compared

We benchmarked 15 English text-embedding models and a BM25 baseline on over 500 manually curated queries across three retrieval domains: legal contracts (CUAD), customer support (IBM TechQA), and healthcare (MedRAG PubMed).

Embedding Models Compared

Explore Artificial Intelligence

Chatbot vs ChatGPT: Differences & Features

Chatbots

Insight

May 26

Traditional chatbots retrieve pre-written answers from a fixed knowledge base. ChatGPT generates responses from scratch using a large language model trained on broad internet-scale data. That single architectural difference is why they solve completely different problems and why choosing the wrong one costs time and money. Let’s clear up what separates traditional chatbots from ChatGPT,…

Chatbots

Open World Evaluation

May 26

20 Chatbot Companies To Deploy in 2026

With 200+ chatbot platforms on the market, the choice isn’t obvious. The right vendor depends on three things: how your team wants to build (drag-and-drop vs. code), which systems you need to connect to, and how much conversation volume you’re actually handling. We compared the 20 most widely used chatbot platforms for building production applications.…

Voice AI

Insight

May 14

Speech Recognition: 12 Use Cases & Examples

Businesses generate large volumes of voice data from calls, meetings, and voice interfaces, but manually processing this data is slow and difficult to scale. Speech recognition (also called automatic speech recognition or speech-to-text) converts spoken language into text, enabling systems to analyze and automate voice-based workflows such as call transcription, voice assistants, and meeting summaries.…

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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