Skip to content

LLM Tools

Large Language Models have been rapidly introduced to workplace environments since ChatGPT's breakthrough launch in late 2022. The landscape is quickly evolving, with major tech companies and AI startups releasing increasingly sophisticated models tailored for different use cases.

When selecting an LLM, consider:

  • Data privacy policies
  • Integration capabilities
  • Cost structure
  • Specific feature sets

Available Tools

ChatGPT (OpenAI)

Website: chat.openai.com

First Release: November 2022

Strengths: Conversational, good for general tasks, coding assistance

Best for: Writing assistance, brainstorming, general Q&A, code generation

Considerations: Data usage policies vary by version; enterprise versions available


Claude (Anthropic)

Website: claude.ai

First Release: March 2023

Strengths: Helpful, harmless, honest approach; excellent for analysis

Best for: Analysis, research assistance, ethical reasoning, document processing

Considerations: Strong focus on safety and accuracy; large context window


Google Gemini

Website: gemini.google.com

First Release: December 2023

Strengths: Multimodal capabilities, integration with Google Workspace

Best for: Research, document analysis, creative tasks, Google ecosystem integration

Considerations: Various models available (Nano, Pro, Ultra) with different capabilities


Google NotebookLM

Website: notebooklm.google.com

First Release: July 2023

Strengths: Document-grounded AI, source-based research, podcast-style audio summaries

Best for: Research analysis, document synthesis, creating audio overviews, academic work

Considerations: Works with your uploaded sources; Plus version offers 5x higher usage limits


Meta Llama

Website: llama.meta.com

First Release: February 2023

Strengths: Open-source, customizable, strong performance

Best for: Custom applications, on-premise deployment, research

Considerations: Requires technical expertise; various sizes available (7B to 405B parameters)


Perplexity AI

Website: perplexity.ai

First Release: August 2022

Strengths: Real-time web search integration, source citations

Best for: Research, fact-checking, current information retrieval

Considerations: Excellent for staying current with latest information

Proper Attribution

Transparency Requirement

When AI tools significantly contribute to your work, proper attribution is essential for maintaining transparency and ethical standards.

Next: Context Matters: Learn why context is everything in prompt engineering →