openai
OpenAI has recently unveiled its latest language model, the OpenAI/O1-Mini-2024-09-12, designed specifically for chat-based applications. This new model offers an impressive balance between performance and cost-effectiveness, making it an attractive option for developers and businesses alike. Key Features * Affordable Pricing: The input price is set at just $3 per
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 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 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.
ai
Google has recently unveiled three new experimental AI models under its Gemini 1.5 series: Gemini 1.5 Flash 8B, an updated Gemini 1.5 Flash, and an updated Gemini 1.5 Pro. These models are packed with enhancements and are now available for testing via Google AI Studio and
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
cohere
The Cohere/Command-Medium-Beta model is an exciting addition to Cohere's lineup of generative AI models. This fine-tuned version of Cohere's medium-sized model is designed to excel with instruction-like prompts, making it highly suitable for a range of practical business applications. Model Overview The Command-Medium-Beta boasts an