What Is Llama 2? - IBM
2024年12月19日 · Instead, base Llama 2 models are intended to serve as a foundation to build a purpose-specific model upon. To date, Llama 2 (and the original LLaMa) models have served as the base of several prominent open source LLMs, including: Alpaca: A version of LLaMa 7B fine-tuned for instruction-following by Stanford University researchers.
Meta Llama 3.2 models now available on watsonx, including ... - IBM
2024年9月25日 · The Llama 3.2 collection includes an updated Llama Guard 3 model, Llama-Guard-3-11B-Vision, that provides a set of input-output inference guardrails compatible with Llama’s new multimodal functionality. IBM watsonx further enhances responsible, accountable AI with dynamic AI guardrails and robust security, privacy and safety measures.
Meta releases new Llama 3.1 models, including highly anticipated …
2024年7月23日 · While Llama 3.1 models share the same dense transformer architecture of Llama 3, they represent several significant upgrades to their Llama 3 counterparts at all model sizes. Longer context windows For all pre-trained and instruction-tuned Llama 3.1 models, the context length has been profoundly expanded from 8,192 tokens in Llama 3 to 128,000 ...
Time Series Forecasting with Lag-Llama - IBM
Lag-Llama is a general-purpose open source foundation model for probabilistic time series forecasting on univariate datasets that uses a transformer architecture. The paper announcing this is titled Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting by Kashif Rasul, Arjun Ashok, Andrew Robert Williams, Hena Ghonia ...
Foundation Models - IBM watsonx.ai
Open: Bring best-in-class IBM and proven open-source models to watsonx foundation model library or your library. Trusted: Train models on trusted and governed data for applications that require enterprise-level transparency, governance and performance. Targeted: Designed for the enterprise and optimized for targeted business domains and use cases.
Use Llama 3.2-90b-vision-instruct for multimodal AI queries in
2024年9月25日 · In this tutorial, you used the Llama 3.2-90b-vision-instruct model to perform multimodal operations including image captioning and visual question answering. For more use cases of this model, we encourage you to check out the official documentation page. There you will find more information on the model’s parameters and capabilities.
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.
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.
What is LlamaIndex? - IBM
2024年5月28日 · Foundation models similar to the IBM Granite™ series are trained on curated data, however whether the model is trained on a large data set or a pretrained foundation model, they will likely need to be trained on external sources of domain-specific data. This process is facilitated by a system framework that connects the LLM to private data to ...
Supported foundation models in watsonx.ai - IBM
Model name Provider Input price (USD/1,000 tokens) Output price (USD/1,000 tokens) Context window (input + output tokens) More information; allam-1-13b-instruct: National Center for Artificial Intelligence and Saudi Authority for Data and Artificial Intelligence: $0.0018: $0.0018: 4,096 • Model card: codellama-34b-instruct: Code Llama: $0. ...
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