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Available Models

There are various models available from OpenAI, Google, and others, each offering unique capabilities suited to different use cases.

OpenAI – GPT

  1. GPT-3.5:
    • Description: GPT-3.5 is a powerful language model that excels in understanding context, performing complex reasoning tasks, and generating human-like text. Compared to its predecessors, it provides more accurate responses and offers options for fine-tuning.
    • Use Cases:
      • Natural Language Understanding: GPT-3.5 can be used for chatbots, virtual assistants, and content generation.
      • Code Assistance: It assists with writing code, explaining errors, and suggesting fixes.
      • Multilingual Applications: GPT-3.5 supports multiple languages.
  2. GPT-4o (“omni”):
    • Description: GPT-4o is OpenAI’s flagship model that combines audio, vision, and text processing. It accepts input in any combination of text, audio, image, and video, and generates corresponding outputs. It responds to audio inputs in as little as 232 milliseconds, similar to human conversation speed.
    • Capabilities:
      • Matches GPT-4 Turbo performance on English text and code.
      • Improved performance on non-English text.
      • Better vision and audio understanding.
      • Real-time translation.
      • End-to-end processing across modalities.
    • Use Cases:
      • Real-Time Interaction: GPT-4o enables more natural human-computer interaction.
      • Multimodal Applications: It’s ideal for projects involving text, audio, and visual data.
      • Customer Service Chatbots: Faster and more accurate responses.
      • Exploring New Possibilities: We’re still discovering its full potential.

Google – Gemini

  1. Gemini 1.5 Pro:
    • Description: Gemini 1.5 Pro received significant quality improvements across various tasks, including translation and coding. It’s designed to handle broader and more complex tasks effectively.
    • Best Use Cases:
      • Translation Services: Gemini 1.5 Pro excels in multilingual translation.
      • Coding Assistance: It’s great for code generation and error detection.
      • Complex Tasks: Use it for intricate natural language understanding.
  2. Gemini 1.5 Flash:
    • Description: Gemini 1.5 Flash is Google’s fastest and most versatile multimodal AI model. It maintains a 1 million context window and is optimized for low latency and cost-effective use cases.
    • Best Use Cases:
      • Summarization: Quickly summarize large volumes of text.
      • Chat Applications: Ideal for chatbots and real-time interactions.
      • Data Extraction: Efficiently extract relevant information.

Meta – LLAMA3

Meta Llama 3 is a family of large language models (LLMs) developed by Meta. It comes in two sizes: 8B and 70B parameters.

  1. Meta Llama 3-8B:
    • Parameters: 8 billion.
    • Use Cases: Designed for a wide array of applications, including natural language understanding, text generation, and dialogue systems.
    • Capabilities: Rivals state-of-the-art commercial LLMs.
    • Optimization: Instruction-tuned for dialogue use cases.
    • Benchmark Performance: Outperforms many open-source chat models on industry benchmarks.
  2. Meta Llama 3-70B:
    • Parameters: A whopping open source 70 billion.
    • Use Cases: Similar to the 8B version, but with even greater capacity for complex tasks.
    • Performance: Continues to excel in dialogue scenarios and other language-related applications.
    • Safety Evaluation: Meta assessed its safety using CyberSecEval, measuring its propensity for insecure code suggestions and compliance with requests for cyber attacks.
    • Industry Benchmark: Outperforms many existing open-source chat models.

Perplexity – AI-powered answer engine

Perplexity AI is an advanced artificial intelligence tool designed to assist with copywriting tasks by generating creative and engaging content. It acts as a bridge between users and the Internet, providing accurate, trusted, and real-time answers to questions.

  1. Functionality:
    • Answer Engine: Perplexity AI generates custom answers based on information it finds on the web.
    • Predictive Text: It uses natural language predictive text to respond to queries.
    • Citations: When providing answers, Perplexity cites links within the text response.
  2. Use Cases:
    • Copywriting: Perplexity AI assists with creating engaging content for various purposes.
    • Research: It streamlines the process of searching for information online, making it more personalized and efficient.
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