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Trending Research Studies on AIMultiple
Top 122 Generative AI Applications & Real-Life Examples
Large Language Model Evaluation: 10+ Metrics & Methods
Top 20 AI Chip Makers: NVIDIA & Its Competitors
Popular Research Studies
Enterprise Generative AI: 10+ Use Cases & Best Practices
Generative AI, also called GenAI, presents novel opportunities for enterprises compared to middle-market companies or startups including: However, generative AI is a new technology with unique challenges for enterprises: Executives wonder how their organizations can reap the benefits of generative AI while overcoming these challenges.
Benchmark Best 25 AI Governance Tools in August
We analyzed ~20 AI governance tools and ~40 MLOps platforms that deliver AI governance capability to identify the market leaders based on quantifiable metrics. Click the links below to explore their profiles: Compare AI governance software AI governance tools landscape below shows the relevant categories for each tool mentioned in the article.
Best RAG tools: Frameworks and Libraries
RAG (Retrieval-Augmented Generation) improves LLM responses by adding external data sources. We benchmarked different embedding models with various chunk sizes to see what works best. Explore the RAG frameworks and tools, what RAG is, how it works, its benefits, and the current situation in the LLM landscape.
Top 30 Cloud GPU Providers & Their GPUs
We benchmarked 10 most common GPUs in typical scenarios (e.g. finetuning an LLM like Llama 3.2). Based on these learnings, if you: Ranking: Sponsors have links and are highlighted at the top. After that, hyperscalers are listed by US market share. Then, providers are sorted by the number of models that they offer.
Cloud GPUs for Deep Learning: Availability& Price / Performance
If you are flexible about the GPU model, identify the most cost-effective cloud GPU based on our benchmark of 10 GPU models in image and text generation & finetuning scenarios. If you prefer a specific model (e.g. A100), identify the lowest-cost GPU cloud provider offering it.
Best 10 Serverless GPU Clouds & 14 Cost-Effective GPUs
Serverless GPU can provide easy-to-scale computing services for AI workloads. However, their costs can be substantial for large-scale projects. Navigate to sections based on your needs: Serverless GPU price per throughput Serverless GPU providers offer different performance levels and pricing for AI workloads.
Top 40+ LLMOps Tools & Compare them to MLOPs
LLMs are growing rapidly, but development and fine-tuning remain expensive. LLMOps tools help reduce these costs by streamlining LLM management.To better understand the landscape, we’ve also prepared a detailed comparison of LLMOps and MLOps tools to highlight how they differ in capabilities, focus areas, and workflows.
Compare Top 7 Generative AI Services & Vendors
Since OpenAI launched ChatGPT, generative AI technology has rapidly expanded across industries. This spread led businesses to utilize various services to build and implement generative AI tools effectively. Here, we explore seven types of generative AI services that help businesses gain a competitive edge: Table 1.
Top 100 RPA Use Cases with Real Life Examples
RPA can automate repetitive tasks in the front and back offices. A use case-focused approach is critical to optimizing the value of technology investments. We identify 100 use cases and real-life examples of Robotic Process Automation, illustrating its application in automating repetitive tasks across various business, industry-specific, and personal contexts.
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Recently published research
AI Sandbox Risks & Wins: 30 Tools & 7 Real-Life Examples
Hyper-Personalization in Marketing: Use Cases & Examples
AI in SOC with Real-life Examples
AI-Based Stock Trading: Which Gen AI Tool Is Better
Although LLM tools have been used in AI-based stock trading since their emergence, the growing availability of these tools raises the question of which generative AI solution offers the best accuracy in predicting stock markets.
Multimodal AI in Healthcare: Use Cases with Examples
Healthcare systems face challenges in delivering accurate diagnoses, timely interventions, and personalized treatments, often because critical patient information is scattered across different data sources. Multimodal AI offers a solution by combining medical images, clinical notes, lab results, and other data into a unified framework that mirrors how clinicians think and reason.
Time Series Foundation Models: Use Cases & Benefits
Time series foundation models (TSFMs) build on advances in foundation models from natural language processing and vision. Using transformer-based architectures and large-scale training data, they achieve zero-shot performance and adapt across sectors such as finance, retail, energy, and healthcare.
Building a No-Code AI Lead Generation Workflow with n8n
I have been reviewing popular AI sales agents, including AiSDR and Outreach.io. While these platforms support lead management, they are typically focused on broader sales engagement and delivered as commercial packages with costs ranging from $2K to $5K per user per month.
Synthetic Users Explained: Top 7 AI User Research Tools
Traditional research requires weeks of finding participants, scheduling interviews, and analyzing results manually. Synthetic user platforms enable teams to create thousands of realistic user profiles instantly, allowing them to test ideas, messaging, and user flows.
Top 16 AI Agent Observability Tools: Langfuse, Arize & More
After diving into documentation, reading user reviews, and spending hours with demos of AI popular observability tools for AI agents, I categorized these platforms into three tiers based on their primary functions: Core observability features See core observability features explanation.
Top 29 DevOps Automation Tools for Efficient Workflows
35% of last year’s automation efforts were dedicated to DevOps automation, based on a recent report on IT automation. This reflects the growing need for tools that help development and operations teams automate their development process and efficiently implement DevOps practices.
GPU Concurrency Benchmark
We benchmarked the latest NVIDIA GPUs, including the H100, H200, and B200, for concurrency scaling analysis. Using the vLLM framework with the gpt-oss-20b model, we tested how these GPUs handle concurrent requests, from 1 to 1024.
How to Connect Your AI Apps with MCP Memory
In this tutorial, we’ll explore how to integrate Claude with Cursor to implement context-aware shared memory with OpenMemory MCP. This integration will allow us to demonstrate how memory is retrieved and managed in real-time. We’ll also dive into testing MCP’s ability to differentiate between various projects.
Optimizing Agentic Coding: How I use Claude Code
AI coding tools have become indispensable for many tasks. In our tests, popular AI coding tools like Cursor have been responsible for generating over 70% of the code required for tasks. With AI agents still being relatively new, I observed some useful patterns in my workflow that I want to share.
Recently updated research
AI Sandbox Risks & Wins: 30 Tools & 7 Real-Life Examples
Building a No-Code AI Lead Generation Workflow with n8n
Agentic CLI Tools Compared: Claude Code vs Cline vs Aider
Hyper-Personalization in Marketing: Use Cases & Examples
Gen Z is reshaping retail with unique consumer behaviors. With their projected $12 trillion spending power by 2030, they will heavily influence what brands sell.They see marketing as valuable only when it is authentic, values-driven, and empathetic, rejecting anything that feels fake, jargon-heavy, or disconnected from real people and causes.
AI in SOC with Real-life Examples
AI capabilities in Security Operations Centers (SOCs) represent a fundamental shift from reactive threat hunting to proactive, intelligent security orchestration. Modern AI-powered SOCs leverage multiple generations of artificial intelligence to automate detection, investigation, and response processes.
AI-Based Stock Trading: Which Gen AI Tool Is Better
Although LLM tools have been used in AI-based stock trading since their emergence, the growing availability of these tools raises the question of which generative AI solution offers the best accuracy in predicting stock markets.
Text-to-SQL: Comparison of LLM Accuracy
I have been relying on SQL for data analysis for 18 years, beginning with my days as a consultant. Translating natural-language questions into SQL makes data more accessible, allowing anyone, even those without technical skills, to work directly with databases.
World Foundation Models: 10 Use Cases & Examples
Training robots and autonomous vehicles (AVs) in the physical world can be costly, time-consuming, and risky. World Foundation Models offer a scalable alternative by enabling realistic simulations of real-world environments. These models accelerate development and deployment in robotics, AVs, and other domains by reducing reliance on physical testing.
Top 20+ Agentic RAG Frameworks
Agentic RAG enhances traditional RAG by boosting LLM performance and enabling greater specialization. We conducted a benchmark to assess its performance on routing between multiple databases and generating queries. Explore agentic RAG frameworks and libraries, key differences from standard RAG, benefits, and challenges to unlock their full potential.
Top 10 DAST Tools: Features & Benchmark Results
As a CISO of a high-growth company in a highly-regulated industry, application security is my top priority. I selected the top DAST tools based on my experience and our research efforts.
10+ Large Language Model Examples & Benchmark
We have used open-source benchmarks to compare top proprietary and open-source large language model (LLM) examples. You can choose your use case to find the right model for it. Comparison of the most popular large language models We have created a model scoring system using 3 metrics: User preference, coding, and reliability.
Top 7 AI Avatar Generation Tools
When choosing the right AI avatar generation tool, businesses can take into account the following components: Top 7 AI avatar generation tools The table above is sorted based on the number of reviews. Sources: For more on prices, check the pricing comparison.
When Will AGI/Singularity Happen? 8,590 Predictions Analyzed
We analyzed 8,590 scientists’, leading entrepreneurs’, andthe community’s predictions for quick answers on Artificial General Intelligence (AGI) / singularity timeline: Explore key predictions on AGI from experts like Sam Altman and Demis Hassabis, insights from five major AI surveys on AGI timelines, and arguments for and against the feasibility of AGI: Artificial General Intelligence timeline