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
- LLMFeature ComparisonSep 15
Compare 9 Large Language Models in Healthcare
We benchmarked 9 LLMs using the MedQA dataset, a graduate-level clinical exam benchmark derived from USMLE questions. Each model answered the same multiple-choice clinical scenarios using a standardized prompt, enabling direct comparison of accuracy. We also recorded latency per question by dividing total runtime by the number of MedQA items completed. Benchmark methodology: This benchmark…
- GenAI ApplicationsInsightSep 15
Top 13 Use Cases of Generative AI in Education
According to the OECD Digital Education Outlook, 57% of lower secondary teachers state that AI helps them create or improve lesson plans.Used with a clear teaching purpose, generative AI technologies can improve learning and support skills such as critical thinking, creativity, and collaboration. Explore the top 13 use cases to learn how generative AI can…
- GenAI ApplicationsInsightSep 15
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 FoundationsInsightSep 15
Top 5 Facial Recognition Challenges & Solutions
Facial recognition is now part of everyday life, from unlocking phones to verifying identities in public spaces. Its reach continues to grow, bringing both convenience and new possibilities. However, this expansion also raises concerns about accuracy, privacy, bias, and fairness that need careful attention. The chart compares eight facial recognition systems using the Racial Faces…
- Document AutomationInsightSep 15
Test Automation Documentation with Best Practices
Test automation is vital for ensuring the quality and reliability of applications in software testing and development. Businesses and QA teams are transitioning from manual testing to automation testing as it can: What often goes overlooked is the role of effective documentation in maximizing the benefits of test automation. We explore the importance of test…
- LLMBenchmarkSep 15
Audience Simulation: Can LLMs Predict Human Behavior?
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…
- LLMBenchmarkSep 15
HALC-Bench: LLM Hallucination on Long-Context Retrieval Benchmark
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. claude-fable-5 answered all 204 traps correctly at every haystack…
- AI FoundationsOpen World EvaluationSep 14
Enterprise AI Companies: Landscape Breakdown
Artificial intelligence is revolutionizing every industry with various use cases. Demand for AI products grows as more companies shift their legacy systems to digital products to survive in the competitive business landscape. However, the AI vendor landscape is crowded, and most executives or decision-makers have limited knowledge of the AI landscape. Check out our comprehensive…