Models by Google

Google is a major contributor to the development of Large Language Models (LLMs), producing powerful models such as PaLM, Gemini, and powering applications like Bard. These models are accessible through Google Cloud and Vertex AI, with enterprise-grade tooling for experimentation and deployment.

Key Models

  • PaLM (Pathways Language Model): Early large-scale model, known for strong multilingual and reasoning capabilities.
  • Gemini: Successor to PaLM; multimodal, highly capable across text, image, and code.
  • Bard: Google’s consumer-facing assistant built on PaLM/Gemini foundations.

Access & Tooling

  • Vertex AI Studio: UI for prompt design, testing, and tuning with real-time feedback.
  • Vertex AI APIs: For programmatic access to text and multimodal models.
  • Google Cloud Integration: Scalable infrastructure, monitoring, and security features for deploying LLMs in production.

Research Contributions

Google’s research has contributed foundational techniques in LLM prompting and architecture:

  • Chain of Thought (CoT) Prompting: Prompting models to reason step-by-step
  • Self-Consistency: Sampling multiple reasoning paths and selecting the most consistent output
  • Scaling Laws: Research on how model performance grows with data and parameter size

Use Cases

  • Customer service and chatbots
  • Enterprise document summarization
  • Code generation (e.g., in Colab, Android Studio)
  • Internal search and knowledge management
  • Education and tutoring applications
Links to this note

Models by Anthropic

Anthropic is the AI research company behind the Claude family of large language models. These models are designed with a strong emphasis on safety,

Prompt Engineering

LLMs Prompt Engineering Prompt Engineering LLMs Tokens Context Window Hallucination AI Agents Prompt Injection Model Weights and Parameters