mistral-ai
Mistral AI has recently unveiled its new multimodal large language model, Pixtral-12B-2409. This cutting-edge model combines text and image processing capabilities to offer unparalleled performance in various applications. Model Architecture Pixtral-12B-2409 features a 12-billion-parameter multimodal decoder paired with a 400-million-parameter vision encoder. This combination allows the model to natively process
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
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.
codellama-34b-instruct
The Code Llama 34B Instruct model, developed by Meta, is a robust tool for code synthesis and understanding. Fine-tuned to follow instructions and generate safe, helpful responses, this model excels in tasks like code completion, infilling, and chat, particularly with Python and other programming languages. Model Overview The Code Llama
gemini
Google's latest marvel in the realm of large language models (LLMs) is here—meet Gemini/Codecs-G3. This groundbreaking LLM is designed with multimodal capabilities, offering unprecedented performance in processing and generating text, images, and more. Gemini/Codecs-G3 stands out with its competitive pricing: $0.35 per 1M tokens
Google has unveiled the latest addition to its Gemini family, the Gemini 1.5 Flash model. This new large language model (LLM) is designed to offer high-speed and efficient performance, tailored for high-volume applications. Here's a closer look at what makes this model stand out. Key Features and
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
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
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:
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
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)
cerebras
The tech industry is abuzz with the latest release from Cerebras: the Llama 3.1-70B. This large language model (LLM) offers groundbreaking performance, cost efficiency, and high precision, making it a game-changer for developers and enterprises alike. Unmatched Performance Cerebras Inference delivers an astonishing 450 tokens per second for Llama