What Is Llama 2? - IBM
2024年12月19日 · Llama 2 is a family of pre-trained and fine-tuned large language models (LLMs) released by Meta AI in 2023. . Released free of charge for research and commercial use, Llama 2 AI models are capable of a variety of natural language processing (NLP) tasks, from text generation to programming
Meta releases new Llama 3.1 models, including highly anticipated …
2024年7月23日 · Readily build custom AI applications for your business, manage all data sources, and accelerate responsible AI workflows—all on one platform. Llama 3.1-405B will be available in IBM watsonx.ai today, with the 8B and 70B models soon to …
Meta Llama 3.2 models now available on watsonx, including ... - IBM
2024年9月25日 · Readily build custom AI applications for your business, manage all data sources, and accelerate responsible AI workflows—all on one platform. The following models are available today in IBM watsonx.ai: Llama-3.2-90B-Vision-Instruct (text and image input) Llama-3.2-11B-Vision-Instruct (text and image input) Llama-3.2-3B-Instruct (text only)
Use Llama 3.2-90b-vision-instruct for multimodal AI queries in
2024年9月25日 · These different modalities produced by the generative AI model, sometimes called gen AI models, can include text, images, video and audio input. Multimodal AI systems have many real-world use cases ranging from medical image diagnoses in healthcare settings using computer vision to speech recognition in translation applications.
Apa Itu Llama 2? - IBM
2023年7月20日 · Makalah penelitian Llama 2 memperinci beberapa keuntungan yang ditawarkan model AI generasi terbaru dibandingkan model LLaMa yang asli. Panjang konteks yang lebih besar: Model Llama 2 menawarkan panjang konteks 4.096 token, dua kali lipat dari LLaMa 1.
What is LlamaIndex? - IBM
2024年8月21日 · IBM® Granite™ is our family of open, performant and trusted AI models, tailored for business and optimized to scale your AI applications. Explore language, code, time series and guardrail options. Meet Granite
What are small language models? - IBM
2024年10月31日 · Llama 3.2 comes in 1 and 3 billion parameter sizes, 6 even smaller than the earlier 7-billion-parameter version of Llama 2. 7 The quantized versions of these multilingual text-only models have been cut down to more than half their size and are 2 to 3 times faster. 6 These SLMs can be accessed through Meta, Hugging Face and Kaggle.
Supported foundation models in watsonx.ai - IBM
After the custom models are deployed and registered with watsonx.ai, you can create prompts that inference the custom models from the Prompt Lab and from the watsonx.ai API. To learn more about how to upload, register, and deploy a custom foundation model, see Deploying a custom foundation model .
You asked. watsonx.ai delivers. - IBM
No need to scramble to pull together what you need for model training and generative AI development. Access a variety of powerful, low-cost, fit-for-purpose models, MLOps pipelines and AI runtimes that reside in one place for more efficient building of powerful applications with trusted data and built-in governance―that you can effectively manage, monitor and govern across the …
What are large language models (LLMs)? - IBM
2023年11月2日 · Other examples include Meta’s Llama models and Google’s bidirectional encoder representations from transformers (BERT/RoBERTa) and PaLM models. IBM has also recently launched its Granite model series on watsonx.ai, which has become the generative AI backbone for other IBM products like watsonx Assistant and watsonx Orchestrate.