My Framework for LLM Use Cases and AI Tooling (With Phi-4, Gemini 2.0, Llama 3.3)

The generative AI ecosystem is rapidly evolving, with OpenAI and Microsoft making significant advancements. Notable releases include the O1 model, ChatGPT Pro, and Microsoft’s 54 billion parameter model, which is recognized for its performance and compactness compared to existing models like GPT-4 and Gemini 2. A new framework for categorizing large language model use cases has been introduced, encompassing six main types: expansion, compression, conversion, seeker, action, and reasoning prompts. This categorization simplifies prompt engineering and enhances AI project efficiency while driving decision-making processes.

OpenAI and Microsoft release significant advancements in generative AI models.

Framework categorizes types of prompts for large language model use cases.

Types of prompts include expansion, compression, conversion, seeker, action, and reasoning.

Expansion prompts convert small inputs into larger content outputs.

Compression prompts summarize large inputs into concise outputs.

AI Expert Commentary about this Video

AI Governance Expert

Prompt engineering, as highlighted in the video, raises crucial governance considerations, particularly in ensuring that AI-generated outputs align with ethical and legal standards. The categorization of prompts facilitates more responsible AI usage, helping organizations implement more structured governance frameworks. For instance, clear definitions around action prompts can prevent misuse by ensuring accountability in AI operations.

AI Market Analyst Expert

The advancements discussed in the video position OpenAI and Microsoft as key players in the competitive AI landscape, potentially influencing market dynamics significantly. The emergence of compact yet powerful models may drive adoption across industries, allowing businesses to utilize AI without the need for extensive infrastructure. This trend could lead to increased investment in AI technologies, as firms seek competitive advantages through state-of-the-art AI systems.

Key AI Terms Mentioned in this Video

Large Language Model (LLM)

The video discusses various LLMs, emphasizing their rapid development and features.

Expansion Prompts

The discussion illustrates the generation of extensive content from brief queries.

Compression Prompts

Examples in the video show how to effectively use these prompts to simplify complex data.

Companies Mentioned in this Video

OpenAI

The video highlights OpenAI's consistent updates and model releases.

Microsoft

Its groundbreaking AI solutions showcase deep learning advances.

Company Mentioned:

Industry:

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