Llama 3.2
Llama 3.2 is the latest iteration of Meta's open-source large language model series, designed to provide developers and researchers with a powerful, flexible tool for creating sophisticated AI applications. This version introduces significant advancements, including multi-modal processing capabilities that allow it to handle both text and image inputs. With models containing up to 9 trillion tokens of training data, Llama 3.2 is one of the most comprehensive open-source AI models available. It comes in various sizes, ranging from 1B to 90B parameters, catering to different deployment needs, from on-device to large-scale applications.
The model supports multiple languages and includes vision capabilities, emphasizing responsible AI development with built-in safety measures and tools for developers. Llama 3.2's extended context length supports up to 128K tokens, enabling the processing of longer text inputs, making it suitable for a wide range of applications, from on-device AI assistants to multimodal content analysis and multilingual applications.
This content is either user submitted or generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral), based on automated research and analysis of public data sources from search engines like DuckDuckGo, Google Search, and SearXNG, and directly from the tool's own website and with minimal to no human editing/review. THEJO AI is not affiliated with or endorsed by the AI tools or services mentioned. This is provided for informational and reference purposes only, is not an endorsement or official advice, and may contain inaccuracies or biases. Please verify details with original sources.
Comments
Please log in to post a comment.