What is the difference between GPT-3.5 and GPT-4?

GPT-4 has stronger reasoning, better accuracy, longer context (up to 128K tokens), and multimodal capabilities (can process images). GPT-3.5 is faster and ~20x cheaper, suitable for simpler high-volume tasks.

How does GPT compare to Claude and Llama?

GPT-4, Claude 3 Opus, and Llama 3 70B are broadly comparable for most tasks. GPT has the largest ecosystem; Claude excels at long documents and safety; Llama offers open-source flexibility. The best choice depends on specific requirements.

Can I run GPT locally?

No, GPT models are closed-source and only available through OpenAI's API. For local deployment, consider open-source alternatives like Llama, Mistral, or Falcon.

What does GPT's context window limit mean in practice?

GPT-4 Turbo's 128K token context fits roughly 300 pages. This enables processing entire documents, long conversations, or extensive code. GPT-3.5 is limited to 16K tokens (~40 pages).

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GPT (Generative Pre-trained Transformer)

OpenAI's family of language models that generate human-like text. GPT-4 is currently the most capable version, excelling at reasoning, coding, and analysis.

In-Depth Explanation

GPT (Generative Pre-trained Transformer) is OpenAI's series of language models that have defined the current AI era. The name describes three key aspects: they generate text, they're pre-trained on vast data before deployment, and they use transformer architecture.

Evolution of GPT:

GPT-1 (2018): Proved the pre-training approach works
GPT-2 (2019): Demonstrated coherent long-form text generation
GPT-3 (2020): Revealed emergent capabilities and few-shot learning
GPT-3.5/ChatGPT (2022): Made AI conversational and accessible
GPT-4 (2023): Multimodal, stronger reasoning, longer context
GPT-4o (2024): Optimised for speed and multimodal interaction

Key capabilities include:

Natural language understanding and generation
Code writing, review, and explanation
Analysis and reasoning
Translation and summarisation
Following complex multi-step instructions

GPT models set the benchmark that other models are compared against. Their API is the most widely-used for AI application development.

Business Context

GPT models set the standard for general-purpose AI capabilities. GPT-4 is ideal for complex tasks; GPT-3.5 offers cost-effective high-volume processing.

How Clever Ops Uses This

We work extensively with GPT models for Australian business clients. We help select the right GPT variant for each use case, optimising the balance between capability and cost.

Example Use Case

"Using GPT-4 for complex document analysis and report generation where high accuracy and reasoning are required."

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Understand how LLMs work, compare GPT-4, Claude, Gemini, and Llama, and learn to choose the right model for your business needs. Complete guide to capabilities, limitations, and practical applications.

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