A Survey of Large Language Models — Understanding AI Capabilities for Business Decision-Makers

Stop guessing about AI capabilities and start making informed decisions about which language models actually solve your business problems.

What It Does for Your Business

This comprehensive survey paper breaks down the entire landscape of large language models in plain business terms. Instead of reading dozens of vendor marketing pages or getting lost in technical jargon, you get one authoritative resource that explains what these models can and cannot do, how they've evolved, and what they actually cost to implement. It's the business owner's cheat sheet for understanding the AI tools flooding the market.

For small business owners evaluating AI solutions, this survey eliminates weeks of research. You'll understand the technical foundations without needing a PhD, see real examples of how different models perform, and learn which capabilities matter for your specific industry. Whether you're considering ChatGPT, Claude, or building custom solutions, this paper gives you the vocabulary and knowledge to talk confidently with vendors and make decisions that actually impact your bottom line.

Key Features

• Complete Evolution Timeline — Traces language model development from early versions through state-of-the-art systems, showing you why newer models cost more and what you actually get for the premium
• Technical Explanation Without the Jargon — Breaks down transformers, training methods, and scaling laws in business-friendly language so you understand model capabilities
• Performance Comparisons — Shows how different models perform on real tasks like writing, analysis, coding, and customer service, helping you pick the right tool
• Cost-Capability Analysis — Discusses the relationship between model size, training costs, and actual business performance so you're not overpaying
• Practical Application Examples — Includes real-world use cases showing how businesses actually deploy these models for content creation, customer support, data analysis, and more
• Future Roadmap — Identifies emerging capabilities and trends so you're not investing in outdated solutions

Best For

E-commerce owners evaluating AI for product descriptions and customer service; marketing agencies deciding which tools to offer clients; law firms exploring contract analysis; professional services firms considering automation; startup founders building AI-powered products; and any small business leadership team allocating budget to AI tools without technical expertise.

Pricing

Free — The paper is publicly available on arXiv with no paywall or registration required.

Business ROI

Reading this 50-page survey saves your team 20-30 hours of scattered research across vendor websites and technical blogs, translating to roughly $1,000-$2,000 in labor costs. More importantly, it prevents expensive mistakes like purchasing oversized models you don't need (potentially saving $5,000-$15,000 monthly on API costs) or choosing inadequate solutions that waste team time on poor outputs. Small businesses that understand their AI tool options before purchase typically see 40% better ROI on AI spending because they choose solutions aligned with actual needs rather than hype. For a business considering any AI investment over $500/month, this knowledge directly protects that investment.