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16 Changes to the Way Enterprises Are Building and Buying Generative AI

Andreessen Horowitz

Generative AI took the consumer landscape by storm in 2023, reaching over a billion dollars of consumer spend 1 in record time. Over the past couple months, we’ve spoken with dozens of Fortune 500 and top enterprise leaders , 2 and surveyed 70 more, to understand how they’re using, buying, and budgeting for generative AI.

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AI Food Fights in the Enterprise

Andreessen Horowitz

00:38] Why is it so hard for enterprise to adopt AI? [03:08] 03:08] Data wars [04:28] Big vs. small LLMs [08:13] Fine-tuning [13:52] Open source AI [17:51] Benchmarks are b t [19:30] Why Ali isn’t afraid of AI Why is it so hard for enterprise to adopt AI? Ali: I own generative AI, not Ben.

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Top LLMs in 2025: Best Large Language Models for AI, SaaS & Development

How To Buy Saas

In 2025, foundation models or generative AIs like GPT-4, Claude, Gemini, and open-source LLaMA are reshaping AI research, software development, and SaaS products. Below we survey the cutting-edge LLMs of 2025 both commercial and open-source highlighting their key features, performance benchmarks, and use cases in AI workflows.

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DeepSeek vs Claude vs Mistral: Top GPT Competitors in 2025

How To Buy Saas

Tech giants (Googles Gemini, Metas LLaMA) and startups worldwide are launching generative AI models. Access and integration : Some LLMs offer public APIs or cloud deployment (ChatGPT, Claude, Mistral on Azure), while open models can be self-hosted. As a result, GPT alternatives now come with trade-offs. Claude 4 Opus 88.8%