Adding New Models from Llama, Mistral, GPT, and Gemini

New models available

• Llama 3.1 (via Groq, Together AI and Meta nodes):

  • World's largest and most capable open-source foundation model with 405 billion parameters (smaller versions are also available in Stack AI -> 70B and 8B for simpler tasks and faster execution)

  • Supports advanced use cases like long-form text summarization, multilingual conversational agents, and coding assistants, with a context length of 128K tokens.

• Mistral Large 2

  • 123 billion-parameter model with a 128K-token context window** (less parameters than Llama 3.1 an similar performance 🤯)

  • Excels in code generation, mathematics, and multilingual tasks, outperforming many leading models in these areas.

• GPT 4o mini

  • Cost-efficient small model that surpasses GPT-3.5 Turbo.

  • It offers superior textual intelligence and multimodal reasoning, with 128K-token context window.

  • Enables a broad range of tasks, including real-time text responses and applications requiring large context handling. Best for every day simple tasks

• Gemini 1.5 Flash

  • Lightweight and fast model optimized for speed and efficiency (comparable to GPT 4o mini)

  • Breakthrough one-million-token context window, making it ideal for processing extensive video, audio, and large codebases.

• Mistral nemo

  • Specialized model designed for high-precision tasks in scientific and technical domains, with a 128K-token context window.

  • It focuses on reducing hallucinations and improving reasoning capabilities, making it suitable for research and development applications.

Other features

• Images to LLMs with vision: upload or copy paste images in the chat assistant for processing by GPT 4o or Anthropic Claude 3.5 Sonnet.

• Google Search: select the country in which to perform the search.