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
cohere
We're excited to introduce Cohere Command-R-Plus 08-2024, a cutting-edge generative large language model optimized for a variety of use cases, including reasoning, summarization, and question answering. Model Overview Command R+ leverages an autoregressive language model with an optimized transformer architecture. It has been fine-tuned using supervised fine-tuning (SFT)
cohere
The latest update to Cohere's generative AI model series, Cohere Chat/Command-R-08-2024, brings a host of new features and improvements designed to elevate the performance and utility of AI. Here's what you need to know about this groundbreaking model. Model Overview * Model Size: 35 billion parameters
cohere
The world of large language models (LLMs) is evolving rapidly, and Cohere's Command-Nightly models stand at the forefront of this evolution. These models represent the latest in experimental LLM technology, offering a glimpse into the future of language generation. Here's what you need to know about
cohere
Cohere is proud to unveil the Command-Xlarge-Beta, a cutting-edge addition to our suite of generative language models. This model is designed to excel at tasks requiring precise adherence to user instructions. Model Overview The Command-Xlarge-Beta is fine-tuned from the Cohere xlarge model, which boasts an impressive 52.4 billion parameters.
cohere
In the rapidly evolving landscape of conversational AI, Cohere has introduced a new member to its family of Command models: Command-Light. This new model is designed to offer the robust capabilities of its larger counterparts, Command and Command R, but with significantly improved speed and efficiency. Key Features of Command-Light:
cohere
The latest update in Cohere's generative AI model series, CohereForAI/c4ai-command-r-plus-08-2024, also known as Command R+, brings significant improvements and new features designed to enhance your AI-driven tasks. Here's what you need to know: Model Overview Command R+ boasts a model size of 104 billion parameters,
cohere-command-r
In the ever-evolving landscape of artificial intelligence, Cohere Command R+ emerges as a state-of-the-art large language model (LLM) tailored for enterprise-grade applications. With its advanced features and robust capabilities, it offers a transformative solution for businesses seeking to leverage AI for diverse applications. Key Features 1. Retrieval Augmented Generation (RAG)
cohere-command-r
In the rapidly evolving landscape of artificial intelligence, Cohere Command-R stands out as a state-of-the-art large language model (LLM) designed specifically for enterprise-grade workloads. Whether you're focusing on conversational interactions or long context tasks, Command-R delivers exceptional performance and scalability. Key Features of Cohere Command-R * Scalability: Command-R balances