Sıla Ermut
Sıla is an industry analyst at AIMultiple covering AI models, AI infrastructure, AI governance, and enterprise applications of AI.
Research interests
Sıla’s research focuses on the use of AI in marketing, healthcare, supply chains, and sustainability. She also covers AI evaluation, governance, ethics, and adoption.Her work includes researching and comparing AI technologies, analyzing their business applications, and contributing to AIMultiple’s technology benchmarks.
Professional experience
Sıla previously worked as a recruiter and worked in project management and consulting firms.Education
She holds:- Bachelor of Arts degree in International Relations from Bilkent University.
- Master of Science degree in Social Psychology from Başkent University.
Her Master's thesis was focused on ethical and psychological concerns about AI. Her thesis examined the relationship between AI exposure, attitudes towards AI, and existential anxieties across different levels of AI usage.
Latest Articles from Sıla
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…
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 90–95%.…
18 Procurement Case Studies & Lessons Learned
Effective procurement practices are necessary across all industries. By examining procurement case studies in various sectors, from non-profit to technology, healthcare, and beyond, we gain valuable insights into the impact of procurement solutions and best practices that can drive success in any industry. By examining procurement case studies from different sectors, we uncover how organizations…
Top 10 Mortgage Chatbots: Use Cases & Examples
Chatbots can handle mortgage-related tasks that brokers typically perform, such as answering rate and eligibility questions, collecting application data and documents, and providing loan-status updates. We examine the top 10 mortgage chatbot vendors, their practical applications, and United Wholesale Mortgage’s implementation. *The table is sorted by the number of reviews. With a chatbot, lenders pull…
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…
AI Energy Consumption Statistics
A recent forecast predicts AI will use over half of data center electricity by 2028.As compute-intensive workloads such as generative AI expand, total electricity demand is also expected to rise. We covered data from the IEA, MIT, and major cloud providers to identify AI energy consumption efficiency trends and policy responses and best practices. We…
Top 20+ Predictions from Experts on AI Job Loss
As a McKinsey consultant, I helped enterprises adopt new technologies for a decade. My quick answers: Note: The size of the plots is correlated with the size of the job loss prediction. The percentages referenced in our analysis are derived from assumptions about overall job displacement. In specific scenarios, these assumptions included potential job gains…
LLM Parameters: Types, Scaling, Fine-Tuning Guide
Parameter count is one of the most cited specifications of a large language model, but it does not determine how well a model performs or how much it costs to run. The chart below compares 31 models by their LLM Index score and their average cost per task across seven benchmarks. Four models form the…
Wu Dao 3.0: China's Multimodal AI Model Family
When the US cut off China’s access to advanced chips, the Beijing Academy of Artificial Intelligence faced a choice: complain about restrictions or work around them. They picked the second option. Wu Dao 3.0, launched in July 2023, throws out the playbook. No massive trillion-parameter models competing for headlines. Instead, BAAI now builds compact models…
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, voice and brand style adaptation capabilities: See the methodology and evaluation criteria to understand how we reached these results. The score variations across Gamma, Google Slides with Gemini, SketchBubble, Canva,…
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