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Together AI

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Products & Solutions

Together AI offers a comprehensive suite of products and solutions designed to support various aspects of AI development, deployment, and management. Here's an overview of their key offerings:

Products

  1. Together Inference:
    • The fastest inference stack available, delivering speeds up to 3 times faster than competitors.
    • Supports leading open-source models like Llama-2.
    • Offers significant cost savings, e.g., 6 times lower than GPT 3.5 Turbo when using Llama2-13B.
  2. Together Custom Models:
    • Allows users to train their own advanced AI models using state-of-the-art optimizations like FlashAttention-2.
    • Users maintain full ownership of the models and can deploy them as needed.
  3. Together GPU Clusters:
    • High-performance computing clusters optimized for training and refining AI models.
    • Includes a software layer with necessary optimizations.
    • Supported by Together AI's expert team.
    • Ensures reliability and performance, with a renewal rate higher than 95%.

Solutions

  1. Full-Stack Approach:
    • Combines compute and software to cater to various AI workloads (training, fine-tuning, and inference).
    • Offers dedicated clusters, serverless endpoints, and model deployment in customers' cloud environments.
  2. Fine-Tuning and Training:
    • Provides fine-tuning capabilities, particularly valuable for open-source use cases.
    • Allows users to build and fine-tune custom models using Together AI's software and hardware stack.
    • Offers support from their technical team.
  3. Deployment and Integration:
    • Supports serverless or on-demand model deployments.
    • Scalable with monthly reserved instances and VPC for larger deployments.
    • Easy integration into existing applications with minimal setup using an intuitive API.
  4. Performance and Scalability:
    • Known for unmatched performance and effortless horizontal scalability.
    • Optimized to deliver peak performance based on user traffic demands.
    • Ensures low latency and high accuracy.
  5. Model Management and Optimization:
    • Enables users to manage, orchestrate, and optimize models in one place.
    • Supports model deployment using dedicated API instances built on the Together Inference Engine.
    • Utilizes both open-source and proprietary optimization techniques.
  6. Support and Expertise:
    • Provides top-notch support from an expert team.
    • Assists users in preparing and optimizing datasets, and in training personalized AI models.
    • Leverages the expertise of co-founders who are luminaries in the AI research community.

Key Features

  • High Performance: Advanced efficiencies in training and inference processes.
  • Scalability: Horizontally scalable platform delivering peak performance based on user traffic demands.
  • Rapid Integration: Easy integration into existing applications with minimal setup.
  • Cost-Effectiveness: Significant cost savings compared to other providers and efficient use of GPU resources.
  • Flexibility: Supports serverless inference endpoints, fine-tuning, and hosted deployments, allowing optimization between latency, throughput, and cost.

Industry Peers

Together AI operates in the competitive landscape of generative artificial intelligence, with several industry peers and competitors. Here's an overview of key players in this space:

Major Competitors in Generative AI

  1. OpenAI: Known for cutting-edge research and models like GPT-3.
  2. DeepMind: A leader in advanced AI research and development.
  3. Google AI: Offers a wide range of AI products and services.
  4. Microsoft AI: Provides AI tools and services catering to various industries and use cases.

Other Notable Competitors

  1. Argilla: An open-source data curation platform focused on improving Large Language Models (LLMs).
  2. Sarvam AI: Specializes in the development and deployment of generative AI technologies.
  3. Aleph Alpha: Focuses on generative AI technology for enterprises and governments.
  4. Radium: Offers a cloud-based platform for machine learning and AI applications.
  5. Helicone: An open-source generative AI platform for developers.
  6. Humanloop: Provides a data labeling and model training platform for LLMs.
  7. Explosion: Offers developer tools for machine learning and natural language processing.
  8. Cohere: A natural language processing company that offers AI solutions for enterprises.

Smaller and Niche Competitors

  1. Scry AI, Myst AI, and Hushly: Smaller-scale competitors in the AI space.
  2. Vertex AI, Altair AI Studio, and Botpress: Alternatives often mentioned in the context of large language model operationalization and data science platforms.

Together AI's Differentiation

Together AI sets itself apart in the competitive generative AI market through:

  • Commitment to open-source development
  • User-friendly interface
  • Scalable cloud-based services
  • High-performance inference and training capabilities
  • Comprehensive full-stack approach
  • Expert support and research-driven innovation This unique combination of features and capabilities positions Together AI as a strong player in the rapidly evolving generative AI landscape.

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AI Solutions Engineer specialization training

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AI Standards Engineer specialization training

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