together-ai
Together AI, a pioneering company in generative artificial intelligence, has recently launched a new language model with up to 4 billion parameters. This development reflects their unwavering commitment to advancing AI capabilities while delivering high performance and efficiency. Let’s delve into what this new LLM brings to the table
together-ai
Together AI continues to push the boundaries of AI technology with their latest offering: the Together AI/together-ai-embedding-151m-to-350m models. These new language models are designed to provide efficient and cost-effective solutions for embedding tasks, making them ideal for a wide range of applications. One of the standout features of these
azure-ai
Azure AI has integrated the latest Cohere Embed V3 Multilingual model, a cutting-edge tool for advanced semantic search and text-based applications. Let's explore the key features, use cases, and deployment options that make this model a game-changer. Key Features * Multilingual Support: Supports over 100 languages for seamless cross-language
together-ai
Together AI continues to push the boundaries of artificial intelligence with their latest development: an embedding model capable of processing up to 150 million tokens. This new offering is a part of Together AI's broader suite of solutions aimed at enhancing the capabilities of AI for various business
together-ai
Together AI continues to push the boundaries of generative artificial intelligence with the introduction of their new large language model, the together-ai-81.1b-110b. This state-of-the-art model is designed to provide high-quality, efficient, and cost-effective AI services for a variety of applications. Key Features and Pricing * Input and Output Price: $1.
together-ai
Together AI is excited to unveil its latest advancements in the realm of large language models with the introduction of Together AI/together-ai-8.1b-21b. This new model is designed to provide exceptional performance for a variety of AI-driven tasks, while maintaining cost-efficiency and scalability. Key Features: * Cost-Effective: Both input and
azure-ai
Azure AI has integrated the cutting-edge Cohere Embed v3 - English model, a state-of-the-art text embedding model that transforms text into 1024-dimensional numerical vectors. This model is designed to excel in various tasks including semantic search, retrieval-augmented generation (RAG), classification, and clustering. Model Overview The Cohere Embed v3 - English
gemini-1-5
We are excited to announce the release of the Gemini-1.5-Flash-8B-Exp-0924, an experimental version of the Gemini 1.5 Flash model by Google. This advanced language model comes packed with significant improvements and capabilities designed to enhance performance, efficiency, and usability for a range of applications. Model Updates and Improvements
vertex-ai
The Vertex AI platform has just unveiled the Llama-3.2-90B Vision-Instruct model, a cutting-edge addition to Meta's new generation of multimodal large language models (LLMs). This model is designed to integrate text and image inputs, enabling a wide range of advanced AI tasks. Model Architecture and Capabilities The
vertex-ai
The landscape of AI is evolving rapidly, and Google Cloud’s Vertex AI continues to lead the charge with the launch of the Gemini 1.5 Flash-002 model. This latest iteration promises to deliver enhanced performance, efficiency, and cost-effectiveness, making it a standout choice for developers and enterprises alike. Model
vertex-ai
The AI landscape is rapidly evolving, and Google Cloud's Vertex AI is at the forefront with the latest release of the Gemini-1.5-Pro-002 model. This update brings a host of new features and improvements that are set to revolutionize the way developers and businesses leverage AI technology. General
llama-3-2
Fireworks AI is excited to announce the availability of the Llama 3.2 1B (text-only) model. This new language model is designed to cater to a wide range of tasks, including retrieval, summarization, personal information management, multilingual knowledge retrieval, and rewriting tasks. Model Availability and Capabilities The Llama 3.2