databricks
The world of large language models (LLMs) continues to evolve, with new models offering improved performance and cost efficiencies. One of the latest entrants is the Databricks-Meta-Llama-3-3-70B, a model developed by Meta AI, designed to address both performance and cost challenges in AI deployments. Model Overview The Llama 3.3
databricks
The Databricks GTE Large (English) model is a cutting-edge text embedding model designed to enhance your data processing capabilities. Leveraging the prowess of Databricks Foundation Model APIs, this model offers a robust solution for various text-related tasks. Here are the key features that make Databricks GTE Large a standout: * Model
databricks
The databricks/databricks-bge-large-en model is a part of the BAAI General Embedding (BGE) series, specifically designed for generating high-quality text embeddings. This model boasts an embedding dimension of 1024 and a sequence length of 512, delivering exceptional performance across tasks such as retrieval, clustering, and pair classification. Integration with Databricks
databricks
The MPT-30B-Instruct model, developed by MosaicML, represents a significant advancement in the world of large language models (LLMs). This model is a fine-tuned variant of the MPT-30B, specifically optimized for short-form instruction-following tasks. Here's a comprehensive overview of what makes this model stand out: Model Overview Designed to
databricks
Databricks is excited to introduce the Llama 2 70B Chat, a state-of-the-art 70 billion parameter language model developed by Meta AI. Optimized for chat and interactive applications, this model excels in tasks such as summarization, question-answering, and dialogue. Availability and Support The Llama 2 70B Chat model is currently available
meta-llama-3-1
We are thrilled to announce the launch of Meta Llama 3.1 70B Instruct, a cutting-edge large language model developed by Meta and supported by Databricks. Starting July 23, 2024, this model will replace the Meta-Llama-3-70B-Instruct in Foundation Model APIs pay-per-token endpoints. Model Details: * Parameters: 70 billion parameters. * Context Length:
databricks
We are excited to introduce MPT-7B-Instruct, a specialized variant of the MPT-7B model designed for short-form instruction following. This model is the result of extensive finetuning on datasets derived from Databricks Dolly-15k and Anthropic's Helpful and Harmless (HH-RLHF) datasets. Model Description: * MPT-7B-Instruct adopts a modified decoder-only transformer architecture,
databricks
Databricks has unveiled the Mixtral-8x7B Instruct, a cutting-edge sparse mixture of experts (MoE) language model developed by Mistral AI. This model offers exceptional performance and efficiency, setting a new standard in the world of language models. Model Architecture The Mixtral-8x7B is designed as a high-quality sparse mixture of experts model.
meta-llama-3-1-70b-instruct
The Meta Llama 3.1 70B Instruct model, now integrated with Databricks, brings a plethora of features and improvements designed to revolutionize your enterprise AI capabilities. The model boasts a substantial 70 billion parameters and supports up to 128,000 tokens in a context, making it a powerhouse for dialogue-centric
databricks
Databricks has unveiled its latest innovation in the field of large language models: DBRX Instruct. Released in 2024, this state-of-the-art model combines cutting-edge architecture with exceptional performance, making it a game-changer for various natural language processing tasks. Model Architecture and Training DBRX Instruct boasts a transformer-based, decoder-only architecture with a
databricks
We are excited to announce the release of Databricks-Meta-Llama-3-1-405b-Instruct, a groundbreaking advancement in the realm of open-source large language models (LLMs). This model, boasting a staggering 405 billion parameters, sets a new standard for performance and capability in AI. Key Features of Llama 3.1 Model Size and Parameters: The